1627 AI Application Development jobs in Bengaluru
AI Application Development Engineer
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Location : Remote / Bangalore
Employment Type : Full-time
Department : AI & Research
Industry : IT Services & Consulting
Role Category : AI/ML – Generative AI
As a Generative AI Engineer , you will be responsible for designing, developing, and deploying generative AI models, large language model (LLM) applications, and agentic flows. Your core responsibilities will include:
- Build Production RAG/Agentic Flows : Develop and implement advanced retrieval-augmented generation (RAG) flows, including tasks like chunking/embeddings, retrieval, tool/function calling, and caching for scalable AI solutions.
- Evaluation Harnesses : Implement evaluation frameworks to assess model quality based on key metrics such as groundedness, relevance, and completeness. Perform regression checks to ensure the stability of models over time.
- Guardrails & Content Safety : Integrate content safety measures, guardrails, and proactive monitoring systems to ensure responsible AI usage. You will be responsible for documenting prompts/configs and optimizing for cost and latency considerations.
- API/SDK Development : Develop and ship high-performance APIs/SDKs used by both web and mobile teams, ensuring seamless integration of AI-driven features.
- Cross-functional Collaboration : Collaborate with different teams to ensure that the AI solutions meet the needs of the business while maintaining high quality and compliance standards.
- Experience : 1–2 years of experience in backend/application development with a focus on AI/ML systems, especially in Generative AI , LLMs , and AI-powered applications .
- Technical Skills :
- Proficiency in backend programming languages like Python or TypeScript .
- Practical experience working with Generative AI models , especially around model deployment, prompt engineering, and scaling solutions.
- Familiarity with Vector Databases (e.G., Pinecone, Weaviate) for managing embeddings and data retrieval.
- Experience with tools like LangChain or LlamaIndex for building AI-powered systems.
- Understanding of caching strategies to optimize system performance.
- Knowledge of observability principles and tracing techniques to monitor AI model performance in production environments.
- Education :
- B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, AI, Data Science, or a related field.
- Generative AI
- RAG (Retrieval-Augmented Generation)
- LLMs (Large Language Models)
- Embeddings
- Vector Databases (e.G., Pinecone, Faiss)
- Prompting Techniques
- LangChain/LlamaIndex
- FastAPI
- Node.Js/TypeScript
- Caching
- Observability
- Model Deployment
- Content Safety
- Monitoring & Analytics
- Backend Development (Python/TypeScript)
- Immediate to 30 days preferred .
#GenerativeAI #BackendDevelopment #LLMs #AI #AIEngineer #RAG #Embeddings #VectorDB #LangChain #LlamaIndex #Python #TypeScript #API #Caching #Observability #AIResearch #ContentSafety #FastAPI #NodeJS #TechJobs #RemoteJobs #BangaloreJobs #AIinIT #ITConsulting #MachineLearning #AIandML
AI Application Development Engineer
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JOB SUMMARY:
We are seeking a highly skilled Generative AI Engineer to lead and support the development and deployment of cutting-edge AI solutions. You will work at the intersection of LLMs , prompt engineering , RAG (Retrieval-Augmented Generation) frameworks, and scalable cloud infrastructure . This role demands a strong foundation in AWS services , deep understanding of LLMs like Claude , and hands-on experience with tools like LangChain and LangGraph .
Key Responsibilities:
- Design and implement Generative AI applications leveraging LLMs (e.G., Claude, OpenAI, Mistral, etc.)
- Develop and optimize RAG pipelines using LangChain , LangGraph , and vector databases
- Integrate with LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.)
- Architect scalable AI solutions on AWS infrastructure (EC2, Lambda, S3, Bedrock, SageMaker)
- Collaborate with ML Engineers and Product teams to define LLM use cases and prototypes
- Deploy and maintain AI pipelines in production environments
- Implement secure, robust data pipelines for knowledge ingestion and retrieval
- Explore and experiment with fine-tuning and prompt optimization techniques
- Stay current with the latest trends in Generative AI , Foundation Models , and ML Ops
Required Skills:
- 3+ years of experience working with LLMs and Generative AI frameworks
- Proficiency with LangChain and LangGraph for building RAG-based applications
- Hands-on experience with AWS AI services , including Bedrock , SageMaker , and Lambda
- Experience integrating with Claude , OpenAI GPT , or similar APIs
- Strong understanding of RAG (Retrieval-Augmented Generation) architectures
- Proficiency in Python , with knowledge of relevant AI/ML and data libraries
- Experience deploying AI solutions using Docker , CI/CD pipelines , and serverless architecture
- Familiarity with Vector Databases (e.G., FAISS, Pinecone, Weaviate, Amazon Kendra)
- Understanding of data security , privacy , and AI governance
AI Application Development Lead
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GenAI Lead Engineer– Job Description
Role Overview:
We’re looking for a GenAI lead to design, build, and deploy intelligent LLM-powered systems—from single-agent chatbots, copilots to complex multi-agent applications—at scale. We are particularly interested in candidates who have hands-on experience in taking GenAI applications from concept to production, especially within high-volume B2C environments. This role prioritizes individuals who understand the nuances of deploying, maintaining, and optimizing GenAI solutions for real-world users, beyond the scope of Proof-of-Concept (PoC) development. You will work across the full stack, integrating LLMs, microservices, vector databases, backend APIs, and modern cloud infrastructure.
Key Responsibilities:
1. GenAI Application Development & Deployment
- Develop scalable, asynchronous microservices using Python (FastAPI) for chatbots, copilots, and agentic workflows.
- Design event-driven architectures to support high concurrency , rate limiting, and real-time responsiveness .
- Implement secure, versioned REST/gRPC APIs
- Use Pydantic , dependency injection, and modular coding practices for maintainability.
- Proficient in working with databases using ORMs like SQLAlchemy
- Ensure observability using logging, metrics, tracing, and health checks.
- Create responsive React.Js frontends integrated via REST APIs or WebSockets.
- Deploy applications on Cloud Run , GKE , using Docker, Artifact registry, CI/CD pipelines
2. LLM-Powered Conversational Interfaces
- Design and build LLM-powered chatbots, voicebots, copilots and other applications using LangChain or custom orchestration frameworks.
- Integrate enterprise-grade LLM APIs (Gemini, OpenAI, Claude) for multi-turn, intelligent interactions.
- Implement user session management and context/state tracking for personalized and continuous conversations.
- Build RAG pipelines with vector databases, knowledge graphs to ground responses with external knowledge and documents.
- Apply advanced prompt engineering (ReAct, Chain-of-Thought with tool calling) for precise and goal-oriented outputs.
- Ensure performance in low-latency, streaming environments using WebSockets, gRPC, and SIP media gateways.
- Perform fine-tuning of open-source LLMs (LLaMA variants) using techniques like SFT, LoRA, for cost-effective domain adaptation.
- Optimize high-speed inference pipelines leveraging multi-GPU clusters (up to 8x H100s) to reduce latency and improve throughput.
3. Multi-Agent Systems & Orchestration
- Create multi-agent systems & Implement orchestration patterns like supervisor-agent, hierarchical, and networked agents using frameworks like ADK, Pydantic AI and LangGraph.
- Use LangGraph for stateful workflows with memory, conditional branching, retries, and async execution.
- Enable persistent context and long-term memory
- Monitor behavior, drift, and performance using observability tools.
- Skilled in developing agents with ADK and A2A protocols & experienced in configuring custom and remote MCP servers.
Preferred Tech Stack:
- Languages/Frameworks: Python, FastAPI, HTML, CSS, React.Js, LangChain, LangGraph, Pydatic AI, ADK (Agent Development Kit)
- LLMs & Agents: OpenAI (GPT-4), Claude, Gemini, Mistral, LLaMA 3.2/4
- Databases: BigQuery, Redis, FAISS, Pinecone, SQLAlchemy, Chroma, GCP Vector search
- Protocols/APIs: REST, gRPC, WebSockets, OAuth2, OpenAPI, MCP, A2A
Additional Good to have Tech Stack:
- DevOps: Docker, GitHub Actions, Jenkins, GKE, Cloud Run
- Infra & Tools: GCP, Azure, Pub/Sub,Artifact Registry, NGINX, Langfuse, Postman, Pytest
Years of Experience:
Overall Experience: 10+ years of experience (with 2+ years in GenAI)
Location: Bangalore.
AI Application Development Engineer
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AI Application Development Engineer
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- Minimum 5 years of coding experience in NodeJS, JavaScript & TypeScript and NoSQL Databases.
- Proven track record of implementing AI-powered features—such as chatbot interfaces, language understanding, and summarization
- Hands-on experience and understanding of cloud and open source LLMs
- Experience integrating AI frameworks (e.G., Langchain, LangGraph) into existing or newly built applications to enable advanced language processing
- Experience with AI Agents (design, orchestration, and integration into real world workflows)
- Good understanding of Model Context Protocol (MCP) or willingness to quickly learn and apply it.
- Understanding of RAG concepts and experience using vector databases for retrieval-augmented generation
- Hands-on experience with OpenShift or similar container platforms (Kubernetes) for orchestration and deployment.
- Architecting and automating the build process for production, using task runners or scripts
- Banking or Retail domains knowledge is good to have.
- Hands on experience in performance tuning, debugging, monitoring.
Technical Skills
- Expertise in developing scalable, highly available RESTful APIs using NodeJS
- Familiarity with common programming tools such as RESTful APIs, TypeScript, version control software, and remote deployment tools, CI/CD tools
- Familiarity with asynchronous programming patterns, including Promises, async/await, and event-driven architectures.
- Knowledge in designing, fine-tuning, and engineering prompts for large language model (LLM)-based solutions, integrating them via APIs or SDKs.
- Familiarity with ORMs and ODMs like Sequelize, TypeORM, or Mongoose for database interaction.
- Knowledge in implementing real-time communication using WebSockets
- Working knowledge of Azure AI services, including speech, language, OpenAI, PII detection
- Well versed with CI/CD principles, and actively involved in solving, troubleshooting issues in distributed services ecosystem
- Understanding of containerization, experienced in Dockers, Kubernetes.
- Familiarity with firewall and network security concepts, including best practices for securing APIs and data in a regulated environment.
- Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system
- Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Documenting the code inline using JSDoc or other conventions
- Ability to create automation test scripts is preferred
- Proficient with the latest versions of ECMAScript (JavaScript or TypeScript)
Functional Skills
- Experience in following best Coding, Security, Unit testing and Documentation standards and practices
- Experience in Agile methodology.
- Ensure quality of technical and application architecture and design of systems across the organization.
- Experience in Banking, Financial and Fintech experience in an enterprise environment preferred
- Effectively research and benchmark technology against other best in class technologies.
Soft Skills
- Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience.
- Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.
Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management
AI Application Development Specialist
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We are seeking a skilled Full-Stack AI Engineer to join our dynamic team. The ideal candidate will have hands-on experience with LangChain, large language models (LLMs), Fine Tuning, and API integration.
You will play a key role in developing AI agents, implementing Retrieval-Augmented Generation (RAG), and managing data scraping and structuring workflows.
Key Responsibilities:
- Develop and deploy AI agents leveraging LangChain and LLMs.
- Integrate APIs and design robust frameworks for seamless functionality.
- Implement data scraping and structuring pipelines.
- Design and optimize Retrieval-Augmented Generation (RAG) systems.
- Collaborate with cross-functional teams to deliver scalable solutions.
Qualifications:
- Proficiency in LangChain and working with large language models.
- Experience with Python frameworks such as FastAPI.
- Familiarity with data scraping and structuring techniques.
- Understanding of RAG and other data retrieval methodologies.
- Strong problem-solving skills and ability to work in a collaborative environment.
- Familiarity with AWS.
Preferred Skills:
- Knowledge of deployment pipelines and DevOps practices.
Artificial Intelligence
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We are looking for a hands-on Speech Engineer to lead the deployment and optimization of on-premise ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) systems powering WordWorks AI's enterprise-grade voice bots. This role requires someone who can bridge speech technology, infrastructure, and real-world telephony integration, with a focus on Arabic and multilingual capabilities.
Key Responsibilities- Deploy, configure, and optimize on-prem ASR/TTS engines such as Microsoft Speech containers, NVIDIA Riva, Google Speech-to-Text On-Prem, or equivalent.
- Integrate ASR/TTS services with SIP/VoIP systems, WebSockets, and our agentic AI workflow engine.
- Benchmark and fine-tune ASR accuracy for noisy telephony audio and regional accents (Arabic, English, Hindi).
- Test and validate neural TTS voices, ensuring natural prosody, low latency, and language coverage (Arabic variants, English, others).
Ensure low-latency performance with barge-in handling (- Build monitoring, logging, and health checks for speech services in Kubernetes/Docker.
- Work with AI engineers to tune models for specific BFSI and SaaS use cases like collections, onboarding, and order-to-cash automation.
- Maintain strict compliance by keeping audio and data fully within the customer infrastructure.
About Company: At Wordworks AI, we leverage the transformative power of artificial intelligence and natural language processing to build solutions that understand, interpret, and respond to human language with unparalleled precision. Our suite of B2B and B2C solutions is designed to empower businesses and consumers alike, enhancing digital communication and streamlining complex processes.
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Artificial Intelligence
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Are you passionate about Artificial Intelligence and eager to kickstart your career in this rapidly growing field? is seeking a talented AI Trainee to join our dynamic team. As an AI Trainee, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in artificial intelligence, video editing, prompt engineering, social media marketing, content marketing, and content writing.
Key responsibilities:
- Collaborating with our team of AI experts to develop innovative solutions using AI technologies
- Assisting with video editing tasks to create engaging and visually appealing content
- Developing and implementing prompt engineering strategies to enhance user experience
- Supporting social media marketing efforts to drive brand awareness and engagement
- Creating compelling content for various marketing channels to attract and retain customers
- Conducting research and staying up-to-date on the latest AI trends and developments
- Contributing to brainstorming sessions and offering creative ideas to enhance our AI capabilities
If you are a motivated and enthusiastic individual with a strong interest in AI and related technologies, we want to hear from you Join us at and take your career to the next level. Apply now
Artificial Intelligence
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Selected Intern's Day-to-day Responsibilities Include
- Assist in developing and testing AI-driven business solutions.
- Performing data operations using approved AI models/tools with high accuracy.
- Build and analyze real-world datasets from multiple sources; run experiments to test and benchmark AI models.
- Evaluate and help integrate third-party AI tools and APIs into existing workflows.
- Rapidly prototype solutions using no-code/low-code platforms or Python, PHP, JavaScript, and n8n where appropriate.
- Document experiments, learnings, outcomes, and the business impact of project initiatives.
- Perform day-to-day technical tasks to keep projects running smoothly.
About Company: Frontdigit Labs is a leading young and dynamic integrated digital technology company with a portfolio of successful brands. We are committed to delivering significant value and fostering trust and enduring relationships with our 25 million + global audience. We build web properties to scale with constantly evolving designs, content, technology and distribution. We are committed to breaking new ground to foster unparalleled growth and achievement within the digital and new media landscape.
Artificial Intelligence
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Key Responsibilities
- Deliver engaging AI, ML, DL, and GenAI training sessions with hands-on coding practice.
- Develop and update AI-focused curriculum, materials, and learning paths.
- Create and evaluate assessments, projects, and quizzes to measure learning.
- Mentor learners in AI projects, guiding from concept to deployment.
- Train on AI tools, frameworks, and MLOps practices.
- Integrate AI ethics, bias awareness, and responsible AI practices into training.
- Collaborate with industry experts to provide real-world case studies.
- Track AI trends and align content with job market demands.
- Collect feedback to improve training delivery and outcomes.
- Stay updated through research, courses, and AI community engagement.
About Company: HRLytics provides an entire gamut of services required for business optimization by maximizing human contribution proportional to human capabilities in core areas. HRLytics provides end-to-end HR analytics designed to provide appropriate information for critical decision-making across a wide range of industries.