Role & responsibilities

- Develop and implement GenAI applications, chatbots, and enterprise AI assistants.
- Build and optimize RAG pipelines including: Data ingestion (PDFs, docs, structured data)
- Chunking, embeddings, indexing, and retrieval
- Implement prompt engineering strategies and prompt workflows.
- Develop APIs and microservices using FastAPI or Flask.
- Integrate LLMs with:
- SQL/NoSQL databases
- Enterprise knowledge bases
- Vector databases
- Implement Text-to-SQL, conversational search, and semantic querying solutions.
- Fine-tune and prompt-tune LLMs where required.
- Write clean, scalable, and secure Python code.
- Perform unit testing, debugging, and performance tuning.
- Participate in code reviews and CI/CD pipelines.
- Support production deployments and post-deployment monitoring.

Preferred candidate profile

Required Skills & Experience:

- 15+ years in software development with robust Python expertise.




- Hands-on experience with:
- LangChain or similar frameworks
- Vector databases and embeddings
- REST APIs and microservices
- Working knowledge of HTML/CSS/React for basic UI integration.
- Strong SQL skills and data processing with Pandas/NumPy.
- Familiarity with Docker and cloud environments (AWS/Azure/GCP) is a plus.

Additional Qualification:

- Bachelors or Masters degree in Computer Science / AI / related.
- 8+ years in software development with at least 3+ years building AI/ML applications.
- Expert Python skills, including frameworks such as TensorFlow, PyTorch, transformers libraries.
- Strong experience with REST APIs and microservices (Flask/FastAPI).
- Proficiency with vector databases and embedding-based search systems.

📌 AI Senior Developer (Maharashtra)
🏢 Hexaware Technologies
📍 Maharashtra