22 jobs in JRD Systems

Job Title

Application Support Engineer – Automation & Infrastructure

Job Description Summar

We are seeking a hands-on Application Support Engineer to join the Technology Operations team. This role is responsible for building, automating, and supporting infrastructure and application services across a range of enterprise platforms and third-party software solutions

The ideal candidate will have experience in application support and automation, with hands-on Infrastructure as Code (IaC ) capabilities and experience using tools such as Ansibl e. This role combines automation engineering, application lifecycle management, and production support, with a focus on improving reliability and reducing manual effort

.

Responsibiliti

• esDesign, build, and maintain infrastructure as code (IaC) solutions for application deployment and manageme
• ntDevelop and enhance Ansible-based automation for provisioning, configuration, and operational suppo
• rtContribute to establishing standards for automation and infrastructure management across supported platfor
• msBuild and maintain automation processes for installation, configuration, and patching of third-party softwa
• reSupport application lifecycle management, including maintaining systems aligned with N‑1 patching standar
• dsProvide hands-on support for third-party enterprise software platforms such as SAP, Oracle, Axway, Qlik, or similar syste
• msTroubleshoot issues across application, infrastructure, and integration layers in production and non-production environmen
• tsPartner with engineering teams to implement repeatable, low-maintenance deployment solutio
• nsDocument deployment, patching, and operational procedur
• esMonitor application health and contribute to improving stability and performan
• ceSupport disaster recovery planning and execution activiti
• esCollaborate with Cloud Engineering, Security, and Operations tea
• msContribute to continuous improvement initiatives to increase automation and reduce manual operational process

es

Required Qualificati

• ons4+ years of experience in Application Support, Systems Administration, or similar r
• oleHands-on experience with automation or configuration management tools (Ansible preferr
• ed)Hands-on experience with Infrastructure as Code (I aC) using Terraform, CloudFormation, or simi
• larExperience supporting enterprise or third-party applications in production environme
• ntsExperience with application patching, upgrades, and lifecycle management, including maintaining systems at
• N‑1Experience using scripting or automation languages (Python, Bash, or similar) to support and extend automation workfl
• owsHands-on experience supporting applications in AWS-based cloud environme nts, including core infrastructure servi
• cesKnowledge of Incident, Problem, and Change Management practices (IT
• IL)Strong troubleshooting and problem-solving ski

lls

Preferred Qualificat

• ionsExperience supporting third-party enterprise software (COTS) such as SAP, Oracle, Axway,
• QlikExperience using Ansible in production environm
• entsExperience building or maintaining Ansible playbooks, roles, or reusable automation workf
• lowsExperience working with middleware, integration layers, or distributed sys
• temsExposure to CI/CD pipelines and DevOps pract
• icesExperience with monitoring tools (Splunk, Dynatrace, CloudWa
• tch)Experience with ServiceNow or similar ITSM t

ools

Educ

• ationBachelor’s degree in Computer Science, IT, or related field (or equivalent experi

ence)

AI Engineer – Generative AI & Conversational Applications

Job Summary

We are seeking an AI Engineer with 4–7 years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. This role will focus on building an initial AI-powered chatbot, integrating forecasting capabilities, and developing a modern web-based user interface.

Key Responsibilities

Generative AI & Chatbot Development

• Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or similar LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and response evaluation techniques.
• Integrate AI services into business applications through APIs.

Agentic AI & Workflow Automation

• Develop simple agent-based workflows using LangGraph, CrewAI, LangChain, or similar frameworks.
• Implement tool/function calling and API orchestration.
• Support multi-step task execution and workflow automation.

RAG & Knowledge Retrieval

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Implement document ingestion, chunking, retrieval, and response generation pipelines.
• Optimize retrieval accuracy and response quality.

Forecasting & Analytics

• Support development of forecasting models and AI-assisted prediction workflows.
• Integrate forecasting outputs into chatbot responses and dashboards.
• Work with structured and semi-structured datasets.

Front-End & User Experience

• Develop responsive web interfaces using React.js.
• Build conversational chat interfaces with real-time interactions.
• Create dashboards and visualizations for forecasting results.
• Implement conversation history and state management.

Integration & Deployment

• Develop REST APIs and backend services using Python.
• Deploy applications on AWS, Azure, or GCP environments.
• Support CI/CD pipelines and application monitoring.

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Job Title – AI Engineer/Sr AI Engineer – Generative AI & Conversational Applications

Base Location – Hyderabad/Bengaluru

Duration – Full time

** Immediately to 15 days**

Job Summary

We are seeking an AI Engineer with 4–10+ years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. This role will focus on building an initial AI-powered chatbot, integrating forecasting capabilities, and developing a modern web-based user interface.

Key Responsibilities:

Generative AI & Chatbot Development

• Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or similar LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and response evaluation techniques.
• Integrate AI services into business applications through APIs.

Agentic AI & Workflow Automation

• Develop simple agent-based workflows using LangGraph, CrewAI, LangChain, or similar frameworks.
• Implement tool/function calling and API orchestration.
• Support multi-step task execution and workflow automation.

RAG & Knowledge Retrieval

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Implement document ingestion, chunking, retrieval, and response generation pipelines.
• Optimize retrieval accuracy and response quality.

Forecasting & Analytics

• Support development of forecasting models and AI-assisted prediction workflows.
• Integrate forecasting outputs into chatbot responses and dashboards.
• Work with structured and semi-structured datasets.

Front-End & User Experience

• Develop responsive web interfaces using React.js.
• Build conversational chat interfaces with real-time interactions.
• Create dashboards and visualizations for forecasting results.
• Implement conversation history and state management.

Integration & Deployment

• Develop REST APIs and backend services using Python.
• Deploy applications on AWS, Azure, or GCP environments.
• Support CI/CD pipelines and application monitoring.

Required Skills:

Generative AI

• Experience with OpenAI, Anthropic Claude, Gemini, or equivalent LLMs.
• Prompt Engineering and LLM evaluation techniques.
• RAG implementation experience.
• Understanding of AI agents and workflow orchestration.

Programming

• Python (mandatory)
• REST API development
• FastAPI, Flask, or similar frameworks

AI Frameworks

• LangChain
• LangGraph or CrewAI
• Vector databases (Pinecone, ChromaDB, FAISS, OpenSearch, etc.)

Front-End

• React.js
• JavaScript / TypeScript
• Basic UI/UX understanding for chatbot applications

Cloud & DevOps

• AWS, Azure, or GCP
• CI/CD pipelines
• Docker (preferred)

Preferred Qualifications:

• Experience building chatbot or conversational AI applications.
• Exposure to AWS Bedrock or Azure OpenAI.
• Knowledge of forecasting, analytics, or data science concepts.
• Familiarity with AI observability and monitoring tools.
• Experience with conversational UI design.

Experience:

• 4–10+years of software development experience.
• 2+ years of hands-on Generative AI / LLM experience.
• Experience delivering AI-powered applications in production environments.

Education:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Job Title – AI Engineer / Generative AI Engineer

Base Location – Hyderabad/Bengaluru

Duration – Full time

** Immediately to 15 days**

Job description:

We are looking for a skilled AI Engineer with 4–6 years of experience to design, develop, and deploy AI-driven solutions across the organization. This role focuses on building and integrating Generative AI applications, supporting Responsible AI practices, and embedding AI into the Software Development Life Cycle (SDLC).

The ideal candidate will have hands-on experience with Large Language Models (LLMs) such as OpenAI (ChatGPT) and Anthropic (Claude), along with exposure to agent-based systems and modern AI development practices.

Key Responsibilities:

AI Development & Implementation

• Design and build AI/ML and Generative AI solutions to solve business problems
• Develop applications using LLMs (e.g., OpenAI, Anthropic)
• Implement prompt engineering techniques and evaluation strategies
• Support fine-tuning and optimization of models where applicable

LLM & Generative AI Solutions

• Build and integrate LLM-powered applications such as chatbots, copilots, and automation tools
• Develop reusable prompt frameworks and workflows
• Evaluate model performance, accuracy, and reliability

AI Integration into SDLC

• Integrate AI capabilities into existing applications and workflows
• Contribute to AI-driven testing, automation, and development practices
• Work with DevOps teams to support CI/CD pipelines for AI solutions

Agentic AI & Automation (Exposure)

• Assist in building agent-based workflows and automation pipelines
• Work with orchestration tools and frameworks for multi-step AI tasks
• Support development of context-aware and task-driven AI agents

AI Governance, Security & Compliance (Support Role)

• Follow established Responsible AI and governance guidelines
• Ensure solutions comply with data privacy and security policies
• Assist in implementing monitoring, logging, and basic risk controls

Collaboration & Delivery

• Work closely with product, engineering, and data teams
• Translate business requirements into AI-driven solutions
• Contribute to documentation, knowledge sharing, and best practices

Required Technical Skills

AI / ML & LLMs

• Hands-on experience with Generative AI and LLMs
• Experience with OpenAI (ChatGPT), Anthropic (Claude), or similar platforms
• Understanding of prompt engineering and evaluation techniques

Programming & Development

• Proficiency in Python (preferred) or similar languages
• Experience building APIs and working with microservices
• Familiarity with AI/ML frameworks and libraries

Architecture & Integration

• Basic understanding of scalable system design
• Experience integrating third-party APIs and AI services
• Exposure to cloud platforms (AWS, Azure, or GCP)

DevOps & MLOps

• Familiarity with CI/CD pipelines and DevOps workflows
• Basic understanding of MLOps practices (deployment, monitoring, versioning)

Data Security & Compliance

• Understanding of data privacy and security fundamentals
• Awareness of compliance standards (GDPR, SOC2, etc.)

Preferred Qualifications

• Experience working on Generative AI or chatbot projects
• Exposure to agent frameworks or workflow orchestration tools
• Familiarity with vector databases and embeddings
• Knowledge of AI monitoring or observability tools

Soft Skills

• Strong problem-solving and analytical thinking
• Good communication and collaboration skills
• Ability to learn quickly and adapt to evolving technologies
• Balance between hands-on coding and solution thinking

Education:

• Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science or related field.

Job Title – AI Engineer/Sr AI Engineer – Generative AI & Conversational Applications

Base Location – Hyderabad/Bengaluru

Duration – Full time

** Immediately to 15 days**

Job Summary

We are seeking an AI Engineer with 4–10+ years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. This role will focus on building an initial AI-powered chatbot, integrating forecasting capabilities, and developing a modern web-based user interface.

Key Responsibilities:

Generative AI & Chatbot Development

• Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or similar LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and response evaluation techniques.
• Integrate AI services into business applications through APIs.

Agentic AI & Workflow Automation

• Develop simple agent-based workflows using LangGraph, CrewAI, LangChain, or similar frameworks.
• Implement tool/function calling and API orchestration.
• Support multi-step task execution and workflow automation.

RAG & Knowledge Retrieval

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Implement document ingestion, chunking, retrieval, and response generation pipelines.
• Optimize retrieval accuracy and response quality.

Forecasting & Analytics

• Support development of forecasting models and AI-assisted prediction workflows.
• Integrate forecasting outputs into chatbot responses and dashboards.
• Work with structured and semi-structured datasets.

Front-End & User Experience

• Develop responsive web interfaces using React.js.
• Build conversational chat interfaces with real-time interactions.
• Create dashboards and visualizations for forecasting results.
• Implement conversation history and state management.

Integration & Deployment

• Develop REST APIs and backend services using Python.
• Deploy applications on AWS, Azure, or GCP environments.
• Support CI/CD pipelines and application monitoring.

Required Skills:

Generative AI

• Experience with OpenAI, Anthropic Claude, Gemini, or equivalent LLMs.
• Prompt Engineering and LLM evaluation techniques.
• RAG implementation experience.
• Understanding of AI agents and workflow orchestration.

Programming

• Python (mandatory)
• REST API development
• FastAPI, Flask, or similar frameworks

AI Frameworks

• LangChain
• LangGraph or CrewAI
• Vector databases (Pinecone, ChromaDB, FAISS, OpenSearch, etc.)

Front-End

• React.js
• JavaScript / TypeScript
• Basic UI/UX understanding for chatbot applications

Cloud & DevOps

• AWS, Azure, or GCP
• CI/CD pipelines
• Docker (preferred)

Preferred Qualifications:

• Experience building chatbot or conversational AI applications.
• Exposure to AWS Bedrock or Azure OpenAI.
• Knowledge of forecasting, analytics, or data science concepts.
• Familiarity with AI observability and monitoring tools.
• Experience with conversational UI design.

Experience:

• 4–10+years of software development experience.
• 2+ years of hands-on Generative AI / LLM experience.
• Experience delivering AI-powered applications in production environments.

Education:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Job Title – AI Engineer/Sr AI Engineer – Generative AI & Conversational Applications

Base Location – Hyderabad/Bengaluru

Duration – Full time

** Immediately to 15 days**

Job Summary

We are seeking an AI Engineer with 4–10+ years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. This role will focus on building an initial AI-powered chatbot, integrating forecasting capabilities, and developing a modern web-based user interface.

Key Responsibilities:

Generative AI & Chatbot Development

• Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or similar LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and response evaluation techniques.
• Integrate AI services into business applications through APIs.

Agentic AI & Workflow Automation

• Develop simple agent-based workflows using LangGraph, CrewAI, LangChain, or similar frameworks.
• Implement tool/function calling and API orchestration.
• Support multi-step task execution and workflow automation.

RAG & Knowledge Retrieval

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Implement document ingestion, chunking, retrieval, and response generation pipelines.
• Optimize retrieval accuracy and response quality.

Forecasting & Analytics

• Support development of forecasting models and AI-assisted prediction workflows.
• Integrate forecasting outputs into chatbot responses and dashboards.
• Work with structured and semi-structured datasets.

Front-End & User Experience

• Develop responsive web interfaces using React.js.
• Build conversational chat interfaces with real-time interactions.
• Create dashboards and visualizations for forecasting results.
• Implement conversation history and state management.

Integration & Deployment

• Develop REST APIs and backend services using Python.
• Deploy applications on AWS, Azure, or GCP environments.
• Support CI/CD pipelines and application monitoring.

Required Skills:

Generative AI

• Experience with OpenAI, Anthropic Claude, Gemini, or equivalent LLMs.
• Prompt Engineering and LLM evaluation techniques.
• RAG implementation experience.
• Understanding of AI agents and workflow orchestration.

Programming

• Python (mandatory)
• REST API development
• FastAPI, Flask, or similar frameworks

AI Frameworks

• LangChain
• LangGraph or CrewAI
• Vector databases (Pinecone, ChromaDB, FAISS, OpenSearch, etc.)

Front-End

• React.js
• JavaScript / TypeScript
• Basic UI/UX understanding for chatbot applications

Cloud & DevOps

• AWS, Azure, or GCP
• CI/CD pipelines
• Docker (preferred)

Preferred Qualifications:

• Experience building chatbot or conversational AI applications.
• Exposure to AWS Bedrock or Azure OpenAI.
• Knowledge of forecasting, analytics, or data science concepts.
• Familiarity with AI observability and monitoring tools.
• Experience with conversational UI design.

Experience:

• 4–10+years of software development experience.
• 2+ years of hands-on Generative AI / LLM experience.
• Experience delivering AI-powered applications in production environments.

Education:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Job Title

Application Support Engineer – Automation & Infrastructure

Job Description Summar

We are seeking a hands-on Application Support Engineer to join the Technology Operations team. This role is responsible for building, automating, and supporting infrastructure and application services across a range of enterprise platforms and third-party software solutions

.The ideal candidate will have experience in application support and automation, with hands-on Infrastructure as Code (IaC ) capabilities and experience using tools such as Ansibl e. This role combines automation engineering, application lifecycle management, and production support, with a focus on improving reliability and reducing manual effort

.

Responsibiliti

• esDesign, build, and maintain infrastructure as code (IaC) solutions for application deployment and manageme
• ntDevelop and enhance Ansible-based automation for provisioning, configuration, and operational suppo
• rtContribute to establishing standards for automation and infrastructure management across supported platfor
• msBuild and maintain automation processes for installation, configuration, and patching of third-party softwa
• reSupport application lifecycle management, including maintaining systems aligned with N‑1 patching standar
• dsProvide hands-on support for third-party enterprise software platforms such as SAP, Oracle, Axway, Qlik, or similar syste
• msTroubleshoot issues across application, infrastructure, and integration layers in production and non-production environmen
• tsPartner with engineering teams to implement repeatable, low-maintenance deployment solutio
• nsDocument deployment, patching, and operational procedur
• esMonitor application health and contribute to improving stability and performan
• ceSupport disaster recovery planning and execution activiti
• esCollaborate with Cloud Engineering, Security, and Operations tea
• msContribute to continuous improvement initiatives to increase automation and reduce manual operational process

es

Required Qualificati

• ons4+ years of experience in Application Support, Systems Administration, or similar r
• oleHands-on experience with automation or configuration management tools (Ansible preferr
• ed)Hands-on experience with Infrastructure as Code (I aC) using Terraform, CloudFormation, or simi
• larExperience supporting enterprise or third-party applications in production environme
• ntsExperience with application patching, upgrades, and lifecycle management, including maintaining systems at
• N‑1Experience using scripting or automation languages (Python, Bash, or similar) to support and extend automation workfl
• owsHands-on experience supporting applications in AWS-based cloud environme nts, including core infrastructure servi
• cesKnowledge of Incident, Problem, and Change Management practices (IT
• IL)Strong troubleshooting and problem-solving ski

lls

Preferred Qualificat

• ionsExperience supporting third-party enterprise software (COTS) such as SAP, Oracle, Axway,
• QlikExperience using Ansible in production environm
• entsExperience building or maintaining Ansible playbooks, roles, or reusable automation workf
• lowsExperience working with middleware, integration layers, or distributed sys
• temsExposure to CI/CD pipelines and DevOps pract
• icesExperience with monitoring tools (Splunk, Dynatrace, CloudWa
• tch)Experience with ServiceNow or similar ITSM t

ools

Educ

• ationBachelor’s degree in Computer Science, IT, or related field (or equivalent experi

ence)

AI Engineer / Generative AI Engineer (4–6 Years Experience)

Job Summary

We are seeking a talented and motivated AI Engineer / Generative AI Engineer with 4–6 years of experience to design, develop, and deploy AI-driven solutions that deliver business value across the organization. This role focuses on building and integrating Generative AI applications , supporting Responsible AI practices , and embedding AI capabilities throughout the Software Development Life Cycle (SDLC) .

The ideal candidate will have hands-on experience with Large Language Models (LLMs) such as OpenAI (ChatGPT) and Anthropic (Claude) , along with exposure to agentic AI systems , AI automation frameworks, and modern AI engineering practices.

Key Responsibilities

AI Development & Implementation

• Design, develop, and deploy AI/ML and Generative AI solutions to address business challenges.
• Build applications leveraging Large Language Models (LLMs) such as OpenAI and Anthropic models.
• Implement prompt engineering strategies and model evaluation frameworks.
• Support model fine-tuning, optimization, and performance enhancement where applicable.
• Collaborate with cross-functional teams to identify and prioritize AI use cases.

LLM & Generative AI Solutions

• Develop and integrate LLM-powered applications, including chatbots, copilots, virtual assistants, and automation tools.
• Create reusable prompt libraries, workflows, and AI solution patterns.
• Evaluate model outputs for accuracy, reliability, safety, and business effectiveness.
• Implement Retrieval-Augmented Generation (RAG) and knowledge-based AI solutions where required.

AI Integration into SDLC

• Embed AI capabilities into existing enterprise applications and business workflows.
• Contribute to AI-assisted software development, testing, automation, and quality engineering initiatives.
• Collaborate with DevOps teams to establish CI/CD pipelines for AI-enabled applications.
• Support deployment, monitoring, and lifecycle management of AI services.

Agentic AI & Automation

• Assist in building agent-based workflows and intelligent automation solutions.
• Work with orchestration frameworks and tools to enable multi-step reasoning and task execution.
• Support the development of context-aware, goal-driven, and autonomous AI agents.
• Integrate external tools, APIs, and enterprise systems into agentic workflows.

AI Governance, Security & Compliance

• Adhere to Responsible AI principles, governance frameworks, and organizational standards.
• Ensure AI solutions comply with data privacy, security, and regulatory requirements.
• Support implementation of monitoring, logging, auditability, and risk-control mechanisms.
• Participate in AI model evaluation and governance reviews.

Collaboration & Delivery

• Partner with product managers, software engineers, architects, and data teams to deliver AI solutions.
• Translate business requirements into scalable and practical AI implementations.
• Contribute to technical documentation, architecture artifacts, and knowledge-sharing initiatives.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Required Technical Skills

AI, ML & Generative AI

• Hands-on experience developing Generative AI and LLM-based applications.
• Experience with OpenAI (ChatGPT), Anthropic (Claude), or similar AI platforms.
• Strong understanding of prompt engineering, prompt optimization, and model evaluation techniques.
• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector search concepts.
• Familiarity with AI model performance measurement and validation.

Programming & Software Development

• Strong proficiency in Python (preferred) or other modern programming languages.
• Experience building RESTful APIs, microservices, and backend services.
• Familiarity with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
• Understanding of software engineering best practices, including testing, version control, and code quality.

Architecture & Integration

• Understanding of scalable system design and distributed application architecture.
• Experience integrating third-party APIs, AI services, and enterprise applications.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Familiarity with containerization technologies such as Docker and Kubernetes is desirable.

DevOps & MLOps

• Experience with CI/CD pipelines and DevOps practices.
• Basic understanding of MLOps concepts, including model deployment, monitoring, versioning, and lifecycle management.
• Familiarity with observability and monitoring tools for AI systems.

Data Security & Compliance

• Understanding of data privacy, security, and governance principles.
• Awareness of compliance frameworks and standards such as GDPR, SOC 2, ISO 27001, and related regulations.
• Knowledge of secure AI development practices and responsible AI principles.

Preferred Qualifications

• Experience delivering Generative AI, conversational AI, or chatbot solutions in production environments.
• Exposure to agent frameworks and workflow orchestration tools.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, or similar technologies.
• Familiarity with AI observability, monitoring, and evaluation platforms.
• Knowledge of RAG architectures, semantic search, and enterprise knowledge management solutions.
• Experience working in Agile development environments.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to work effectively in cross-functional teams.
• Strong learning agility and adaptability in a rapidly evolving AI landscape.
• Balanced approach to hands-on development, architecture thinking, and business problem-solving.

Education

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Relevant certifications in AI, Machine Learning, Cloud Platforms, or Generative AI technologies are an added advantage.

AI Engineer – Generative AI & Conversational Applications

Job Summary

We are seeking an AI Engineer with 4–7 years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. This role will focus on building an initial AI-powered chatbot, integrating forecasting capabilities, and developing a modern web-based user interface.

Key Responsibilities

Generative AI & Chatbot Development

• Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or similar LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and response evaluation techniques.
• Integrate AI services into business applications through APIs.

Agentic AI & Workflow Automation

• Develop simple agent-based workflows using LangGraph, CrewAI, LangChain, or similar frameworks.
• Implement tool/function calling and API orchestration.
• Support multi-step task execution and workflow automation.

RAG & Knowledge Retrieval

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Implement document ingestion, chunking, retrieval, and response generation pipelines.
• Optimize retrieval accuracy and response quality.

Forecasting & Analytics

• Support development of forecasting models and AI-assisted prediction workflows.
• Integrate forecasting outputs into chatbot responses and dashboards.
• Work with structured and semi-structured datasets.

Front-End & User Experience

• Develop responsive web interfaces using React.js.
• Build conversational chat interfaces with real-time interactions.
• Create dashboards and visualizations for forecasting results.
• Implement conversation history and state management.

Integration & Deployment

• Develop REST APIs and backend services using Python.
• Deploy applications on AWS, Azure, or GCP environments.
• Support CI/CD pipelines and application monitoring.

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.