Applied AI Engineer
Skills
About the role
This is an onsite Applied AI Engineer role in Bengaluru for an engineer building production applications with large language models and agentic workflows. You will create backend services, retrieval systems and AI integrations for a platform that automates sales, support and operations. The role suits someone who can combine applied AI experimentation with reliable software delivery.
What you’ll do
- Build production applications using LLMs and agent frameworks.
- Design scalable backend services and APIs.
- Create retrieval-augmented generation pipelines with embeddings and vector databases.
- Connect AI models to enterprise systems and external services.
- Improve AI workflows for latency, cost and reliability.
- Evaluate LLM behavior through prompt engineering and testing.
- Work with product and design teams to deliver AI features.
- Deploy, monitor and maintain AI services.
- Write maintainable, tested code.
What they’re looking for
- Professional experience with Python and applied AI.
- Knowledge of generative AI, LLMs and agentic systems.
- Experience with LangChain, LangGraph, RAG and vector databases.
- Backend development using FastAPI and REST APIs.
- Familiarity with OpenAI, Anthropic or MCP integrations.
- Experience with PostgreSQL, Docker, Kubernetes and cloud platforms.
- Ability to operate production AI systems.
What’s on offer
- Full-time onsite work in Bengaluru.
- Compensation of ₹40 lakh to ₹60 lakh per year.
- The client is a bootstrapped AI platform for automating sales, customer support and operations.
Questions about this role
Where is this Applied AI Engineer role located?
The role is onsite in Bengaluru.
What is the compensation range?
The listed range is ₹40 lakh to ₹60 lakh per year.
How much experience is required?
The posting asks for 4+ years of experience.
Which AI technologies are included?
The posting mentions LLMs, LangChain, LangGraph, RAG, vector databases and AI agents.
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