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AI Agent Engineer

The Reliable Jobs
7 - 10 Years
Multiple Locations

Posted on: 14/05/2026

Job Description

Description :

Role : SYN AI Agent Engineer

Location : Bangalore, Hyderabad

Experience required : 7+ Years

Work Model : Hybrid (3 days from office)

Notice Period : Immediate to 21 days

Shift timings : 12noon to 9PM

Must-Have Technical Skills :

Skill Required Depth

- Python (backend patterns : async/await, dependency injection, FastAPI) Ownership

- RAG pipeline (chunking strategy, embedding models, vector DB / FAISS, retrieval, citation) Ownership

- Agent orchestration and session/state management (LangChain or LangGraph) Hands-on

- AWS Bedrock (model access, rate limits, timeouts, state management) Hands-on

- LLM Guardrails and Observability (hallucination mitigation, prompt injection defence, evaluation metrics) Hands-on

- Production deployment (Docker, ECS, CloudWatch, CI/CD for ML/GenAI) Exposure

- Multi-agent systems Exposure

Definitions :

Ownership - should have owned and be responsible for a part of the project where the core skill required is mentioned one. He should be able to describe the project and how he delivered on his specific piece. If required he also mentored a few juniors on the deliverables. He should be able to describe what code he wrote, what were the production level challenges faced etc. Can answer scenario questions on this on an expert level with multiple level probing.

Handson - was working under supervision of someone else but was responsible for something where the core skill required is mentioned on. Should be able to describe the project, his specific role and what were his specific responsibilities. He should be able to describe what code he wrote, what were the production level challenges faced etc. Can answer scenario questions on an average level with 1-2 level probing on specific concepts.

Exposure - was working in a team where someone else was responsible for the skill set in question but the person has seen it in action. He knows the issues that happened with respect to the skill and what did the team do. He is not able to solve scenario level questions but knows typically how to collaborate with other team members on solving the problem.

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