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Lead Software Engineer (AI)

Lead Software Engineer (AI)

Impact Analytics

7 - 12 years

30 - 35 Lacs

bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

supply chain system architecture automation architecture consulting machine learning microsoft open source merchandising python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a Lead Software Engineer AI who is passionate about building AI-driven enterprise-grade applications. This role is for a hands-on technical leader who will drive the development of our next-generation platform for autonomous AI agents. Youll be responsible for building, optimizing, and deploying intelligent systems that can reason, plan, and execute multi-step tasks within enterprise workflows.

Lead hands-on development: Design, build, and optimize scalable, production-grade systems for GenAI agents and multi-agent systems.

Orchestration and frameworks: Implement and manage agentic workflows using frameworks like AutoGen, CrewAI, LangGraph and n8n.

System architecture: Translate architectural designs into code, ensuring systems are robust, scalable, and deployed effectively on cloud platforms (AWS, GCP, Azure).

Integration and tooling: Develop and integrate tool-augmented agents by connecting them to APIs, databases, and other enterprise systems.

Memory and RAG: Engineer and optimize retrieval-augmented generation (RAG) pipelines, including vector search (Pinecone, etc) and embedding strategies.

Fine-tuning and LLMs: Aware of applying fine-tuning techniques on LLM and how to handle/ build custom LLMs. Prompt Mentorship: Guide and mentor a team of engineers, promoting best practices for AI development, testing, and deployment.

What lands you in this role

7+ years of software engineering experience with a focus on AI/ML/ Agents.

3+ years of experience specifically with GenAI and autonomous agent systems.

Strong proficiency in Python, FastAPI, RUST (good to have) and cloud services.

Expertise in agentic frameworks and workflows like AutoGen, CrewAI, LangGraph and n8n.

Deep knowledge of multi-agent orchestration, RAG, and vector search.

Experience with LLM fine-tuning and working with major LLM providers.

Hands-on experience building and integrating tool-augmented agents.

Familiarity with observability tools for AI systems.

Experience with infrastructure automation (Terraform

Excellent problem-solving skills, leadership capabilities, and a collaborative mindset.

Good to Have:

Prior experience in retail analytics, supply chain, or pricing domains.

Experience with container orchestration using Kubernetes.

Contributions to open-source AI/ML projects or publications in relevant fields.

Why Join Us?

An opportunity to develop some of the best enterprise SaaS products to be built out of India
Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
A flat, collegial work environment, with a hard, play hard attitude
A platform for rapid growth if you are willing to try new things without fear of failure.
Remuneration with best-in-class industry standards with generous health insurance cover

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Lead Software Engineer (AI)