Senior Python Engineer (AI, ML & Agentic AI)
Location: Indore
Experience: 5+ Years
About the Role
We're looking for a Senior AI/ML Engineer to design, build, and deploy production-grade AI-
powered applications. The ideal candidate has strong Python engineering fundamentals
combined with hands-on expertise in AI/ML, Generative AI, LLM frameworks, RAG pipelines,
and AI agent systems. This role is primarily AI/ML focused, with a strong emphasis on
building scalable, secure, and well-governed LLM-based solutions.
Key Responsibilities
- Design and develop AI/ML and AI-powered applications using Python, with FastAPI as the
primary framework (Django and Flask also used)
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs,
embeddings, and vector databases
- Design and execute evaluation frameworks for single-agent and multi-agent systems to
measure task completion, reasoning quality, tool usage, and workflow efficiency.
- Develop GenAI solutions using LangChain, LangGraph, LlamaIndex
- Build AI agents and multi-agent workflows for business process automation
- Implement prompt engineering, retrieval evaluation, and hallucination reduction techniques
- Design and enforce LLM guardrails and governance frameworks (content filtering, output
validation, safety policies, compliance, and audit logging)
- Build REST APIs and microservices to integrate AI/ML components with backend systems
- Deploy AI/ML services using AWS or GCP services, Docker, Kubernetes, and CI/CD
pipelines
- Work with cloud AI platforms: AWS Bedrock, GCP Vertex AI, Azure OpenAI, or OpenAI
APIs
- Monitor AI/ML model performance, cost, latency, and accuracy in production environments
Required Skills
- 5+ years of strong hands-on Python development experience
- Practical experience with Django, Django REST Framework, FastAPI, or Flask
- Solid understanding of AI/ML, Generative AI, LLMs, embeddings, RAG, and semantic
search
- Hands-on experience with prompt engineering, RAG evaluation, re-ranking, and
hallucination handling
- Experience implementing LLM guardrails and governance frameworks (safety, compliance,
monitoring, and risk controls for AI systems)
- Experience with LLM frameworks: LangChain, LangGraph, LlamaIndex
- Experience with ML/AI libraries: Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow,
Hugging Face Transformers
- Experience with vector databases: Pinecone, FAISS, Chroma, Weaviate, Milvus, or
pgvector
- Good knowledge of AWS Bedrock (model invocation, RAG, and integration with S3,
Lambda, Glue, Athena, and OpenSearch)
- Strong understanding of REST API development, microservices architecture, and API
security best practices
- Hands-on experience with AWS or GCP services, Docker, Kubernetes, and CI/CD
pipelines (GitHub Actions/GitLab CI)
- Experience with relational and NoSQL databases: PostgreSQL, MySQL, MongoDB, or
Redis
Pay: ₹379,272.98 - ₹1,200,000.00 per year
Work Location: In person
