Job Summary

Job Description - Senior AI Engineer About the Role: We are looking for a Senior AI Engineer to act as the technical lead for our Agentic AI product engineering pod. This is a hybrid IC/lead role. Beyond remain deeply hands-on, this role is responsible for owning the day-to-day technical guidance, task allocation, growth of junior engineers into the domain and upholding engineering standards.

Responsibilities

- Lead the delivery of production AI agent systems, from prototyping agent workflows to deploying and scaling them in production.
- Lead design and code reviews for the pod, ensuring consistent engineering quality and technical standards.
- Directly manage 1-2 junior engineers: assign and prioritize work, run regular 1:1s, give ongoing feedback, and support their career growth.
- Write clean, maintainable, well-tested Python code (FastAPI, Pydantic, async) and set the standard for code quality across the team.
- Unblock the team on technical issues and act as the first escalation point before involving the engineering manager.
- Establish and document engineering best practices for system design, prompt/context strategies, and evaluation methodology.
- Drive evaluation standards for non-deterministic LLM outputs across the team (eval design, regression testing, red teaming).
- Partner directly with product and business stakeholders to translate ambiguous requirements into scalable agent system design.
- Evaluate frontier and open-source LLMs, agent frameworks, and tooling; make and defend adoption recommendations to leadership.

Requirements

AI/ML Agent Engineering

- Robust machine learning foundation,



including deep understanding of tokenization, context windows, embeddings, and transformer architectures.
- Hands-on production experience with agent design patterns (ReAct, planning, reflection, tool use, memory, multi-agent handoff).
- Deep hands-on experience with RAG frameworks, LangChain/LangGraph or AutoGen for product development, including A2A and MCP integration at scale.
- Hands-on experience with Azure AI services for agent orchestration (e.g. Azure AI Foundry, Prompt Flow, Azure OpenAI Service).
- Advanced experience in prompt and context engineering, with a track record of driving eval methodology and testing strategy for non-deterministic outputs across a team.

Software Engineering

- 5 years of experience in Python product development, with deep proficiency in frameworks/libraries.
- Experience owning cost/latency tradeoffs and optimization for LLM systems at production scale.
- Experience using AI coding assistants (e.g. Cursor, Claude Code) in daily development workflows.

Technical Leadership

- Experience leading design/code reviews and setting technical standards for a team.
- Comfortable making and defending technical tradeoffs to non-technical stakeholders and leadership.




- Experience mentoring engineers, with genuine interest in growing junior talent.
- Ability to break down and delegate work appropriately based on team members skill level.
- Comfortable giving direct, constructive feedback and running regular 1:1s.
- Strong collaboration skills with product, engineering, and domain experts to translate business requirements into agent capabilities.

Good to Have

- Knowledge graph (KG) experience, including hands-on work with Neo4j, with the ability to apply KG patterns in agent grounding contexts.
- Hands-on experience fine-tuning open-source LLMs, particularly with parameter-efficient methods (LoRA/QLoRA) and/or supervised fine-tuning (SFT); exposure to RLHF or DPO is a plus.

What Success Looks Like in This Role

- Production AI agent systems are delivered reliably, with sound architecture that scales as usage grows.
- The junior engineers on the pod grow in capability, autonomy, and confidence under this persons mentorship.
- The team maintains high, consistent engineering standards across code, design, and evaluation practices.
- Leadership trusts this persons technical judgment on architecture, tooling, and framework decisions.

Experience and Job Details

- Work Experience: 3 to 5 years
- Job Type: Full time
- Job Opening Name: AI Engineer Lead

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer Lead (Chennai)
🏢 Solverminds Solutions and Technologies
📍 Chennai