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 solid 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.
Solid 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.
Solid experience with REST APIs and microservices (Flask/FastAPI).
Proficiency with vector databases and embedding-based search systems.

📌 Ai Senior Developer Bengaluru
🏢 Hexaware Technologies
📍 Bengaluru