What Jobs are available for Lead AI Software Engineer in India?

• Supporting the research and development of machine learning models for various applications.
• Assisting in the collection, cleaning, and annotation of large datasets.
• Implementing and testing AI algorithms under the guidance of experienced professionals.
• Documenting research findings, code, and project progress.
• Collaborating with team members to troubleshoot and resolve technical challenges.
• Learning and applying advanced AI concepts, including deep learning, natural language processing, and computer vision.
• Participating in team meetings and contributing innovative ideas.

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

If you are interested in working with former heads of security, cloud experts and in building a game changing cloud security solution, join Invi Grid!

You will be at the forefront of building a ground breaking approach to cybersecurity. You will come to be in this space but stay for the vision, passion, growth and teamwork. You will be required to be a hands on coder so expertise in technologies mentioned is a must have.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master’s is a plus).
• Minimum 2 years of hands-on experience developing Agentic, LLM, and NLP-based applications .
• Proficient in machine learning , deep learning , and generative AI techniques.
• Experience with data preprocessing , feature engineering , and model evaluation .
• Hands-on experience with machine learning frameworks such as TensorFlow , Keras , and PyTorch .
• Strong knowledge of RAG-based models to enhance AI-driven search and retrieval systems.
• Experience deploying ML models in production environments , ensuring efficiency and scalability.
• Proficiency in programming languages such as Python , Node.js , JavaScript , and SQL .
• Experience with natural language processing (NLP) and computer vision solutions.
• Strong understanding of AI/ML algorithms , data structures , and model optimization techniques.
• Excellent analytical , problem-solving , and communication skills.

Most importantly:

• Ability to work effectively in a fast-paced dynamic startup environment and meet deadlines
• Create and maintain design documentation, including style guides, patterns and specifications.
• Stay updated on the latest advancements in AI/ML technologies, tools, and methodologies, incorporating best practices into development processes.
• Collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.
• Ability to join within 15 days

Culture: Humility, teamwork, integrity, resilienc

We’re Hiring: AI Engineer

Join one of the most exciting opportunities in the AI world!

Our client — a US-based, AI-funded startup (Series B) — is building something truly revolutionary in the field of Artificial Intelligence, and we’re looking for passionate engineers to be part of this journey.

Role: AI Engineer

Payroll: AI Funded US Startup (Series B)

Location: Hyderabad

Work Mode: Remote

Experience Required: 3+ years

Employment Type: Full-time

Working Days: Monday to Friday

About Debales AI 

Debales AI builds autonomous AI Agents that seamlessly integrate into existing systems — no new dashboards, no added workflow overhead. With 100+ integrations and 80+ specialized AI Agents, we streamline high-volume operations across Logistics, E-Commerce, and Education, helping teams scale efficiency without scaling headcount.

Role Overview 

We're looking for a Full-Time AI Developer to design, build, and deploy AI Agents into production environments. You'll work directly on LangGraph / LangChain-based pipelines and play a key role in architecting multi-agent systems that interact with real customer data and workflows.

This role is ideal for someone who loves hands-on building, fast iteration, and ownership.

Key Responsibilities

• Architect and develop LLM-based multi-agent workflows.
• Deploy and maintain AI Agents in live production environments.
• Integrate Agents with 3rd-party systems and internal APIs.
• Improve model performance using evaluation + observability tooling.
• Collaborate with engineering + product teams to ship fast.

Required Qualifications

• Experience deploying AI Agents in production (critical requirement).
• Minimum 1 year experience building AI applications or workflows.
• Hands-on experience with LangGraph and LangChain.
• Strong understanding of LLM application architecture, state handling, and tool-calling.
• Experience with RAG, embeddings, vector databases, and NLP pipelines.
• Familiarity with AI observability tools (e.g., Langfuse, Phoenix, OpenTelemetry, W&B, Honeycomb).
• Proficient in Python for backend and orchestration.
• Strong problem-solving skills, self-directed, comfortable in fast-paced environments.

Location - Work from Home

Salary - Rs. per month (in hand)

Nice to Have

• Experience with Docker / containerized deployments.
• Background integrating with APIs and enterprise systems.
• Understanding of structured evaluation and testing frameworks for LLM applications.

• Skills in Pattern Recognition and Machine Learning
• Experience in Consulting and providing strategic insights
• Proficiency in Data Science and conducting comprehensive data analysis
• Knowledge of Natural Language Processing (NLP)
• Strong problem-solving and analytical skills
• Excellent written and verbal communication skills
• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
• Experience in the telecom industry is a plus

We are seeking a highly specialized and results-driven AI Automation Engineer to join our fast-moving team. You will be the architect of our internal and client-facing workflows, leveraging a powerful stack of no-code/low-code tools and custom code to eliminate manual work, integrate core business systems, and implement intelligent AI agents.

This is a high-impact role for an expert who can not only build but also design highly reliable, scalable, and complex automated systems.

• End-to-End Workflow Architecture: Design, build, and maintain complex automation pipelines, primarily using n8n (and sometimes Zapier ) for optimal performance and customizability.
• Intelligent AI Integration: Integrate and orchestrate AI models (LLMs) within workflows for tasks such as lead qualification, dynamic email generation, data analysis, and decision support.
• Custom Scripting & APIS: Utilize Python to write custom API connectors, perform advanced data cleaning/transformation, and extend the functionality of no-code platforms.
• CRM & Data System Mastery: Implement robust data synchronizations between core tools, including deep automation and setup within GoHighLevel (GHL) for marketing and sales, and structured data management in Airtable .
• System Reliability: Implement rigorous error handling, logging, and monitoring across all automation to ensure 99.9% uptime and data integrity.
• Process Mapping: Collaborate with stakeholders to map existing business processes and identify high-leverage opportunities for AI-powered automation.

If you do not have expert-level experience in all five of these, please do not apply.

1. n8n (Expert Level): Core platform for complex workflow orchestration.
2. Python: For advanced scripting, custom API calls, and data manipulation.
3. GoHighLevel (GHL): Setting up funnels, triggers, campaigns, and lead flow automation.
4. Airtable: Advanced base design, automation, scripting, and external tool integration.
5. Zapier: Experience with building and migrating workflows, and managing Zapier integration logic.

Role Overview:

We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.

Key Responsibilities:

• Design, develop and deploy NLP and ML models for real world applications.
• Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
• Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
• Perform data preprocessing statistical analysis and experiment design to validate models.
• Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
• Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
• Continuously research and adopt state of the art techniques in NLP ML and LLMs.

Required Skills and Qualification:

• Proven experience as a Data Scientist having 6-9 years of experience with a strong focus on NLP and ML.
• Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
• Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
• Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
• Proficiency in data analysis statistics and experiment design.
• Strong understanding of cloud ML platforms - GCP preferred.
• Excellent problem solving analytical and communication skills.
• Strong debugging, troubleshooting, and problem-solving skills.
• Excellent collaboration abilities.

Good to Have Skills:

• Exposure to MLOps practices - CI CD for ML monitoring deployment.
• Experience with other cloud platforms - AWS and Azure.
• Knowledge of reinforcement learning and generative AI applications.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge security challenges.
• A collaborative and growth-oriented work environment with opportunities for career development.