Lead AI Engineer - Agentic AI/LLM

Experience: 6+ Years

Location: Remote

Employment Type: Full-Time

Profile Summary:

We are looking for a Lead AI Engineer with 6+ years of software engineering experience and strong hands-on expertise in AI/LLM architecture, Agentic AI, Advanced RAG, Knowledge Graphs and Python. The ideal candidate will own the AI architecture of a next-generation enterprise modernization platform, build production-grade multi-agent systems from the ground up, and lead a small engineering team while working directly with the CTO and product leadership.

About the Company & Product:

We are building a next-generation enterprise modernization platform that helps organizations understand and transform complex legacy applications into modern architectures. Large enterprises often have decades-old codebases with deeply embedded business logic and complex dependencies. Our platform combines AI and advanced software engineering techniques to understand these systems and accelerate their modernization.

Tech Stack:

• LLMs, Generative AI and Agentic AI

• Multi-agent workflows and advanced RAG

• Knowledge Graphs and Neo4j

• Vector databases and embeddings

• Abstract Syntax Trees and code parsers

• Heuristic and algorithmic approaches

• Proprietary source-code representations

• AI evaluation, benchmarking and observability

Role & Responsibilities:

• Own the AI architecture and technical direction of the platform.

• Design and build production-grade Agentic AI and multi-agent systems.

• Develop agent workflows using LangGraph, Pydantic AI or similar frameworks.

• Build advanced RAG/RLM systems focused on accuracy and efficient token usage.

• Design Neo4j Knowledge Graphs for code relationships, dependencies and ontologies.

• Build AI evaluation and benchmarking pipelines for correctness, accuracy and reliability.

• Lead a 2 - 3 member engineering pod and mentor junior/graduate engineers.

• Work closely with the CTO, product leaders, AI scientists and domain experts to translate product requirements into technical solutions.

Must-Have Skills:

• 6+ years of software engineering experience with production AI/LLM systems.

• Strong Python programming and software engineering fundamentals.

• Hands-on experience with AI/LLM architecture and system design.

• Expert-level experience with LangGraph, Pydantic AI or equivalent frameworks.

• Strong experience building multi-agent and agentic AI workflows.

• Deep understanding of RAG, Advanced RAG and/or RLM.

• Hands-on experience with Neo4j, Knowledge Graphs, Vector Databases and embeddings.

• Practical experience with LLM evaluation, benchmarking, accuracy and token optimization.

Good-to-Have Skills:

• Experience with AST / Abstract Syntax Tree parsing.

• Hands-on experience with Tree-sitter, ANTLR or similar technologies.

• Experience building heuristic-driven code analysis systems.

• Experience with LLM observability, tracing and monitoring.

• Experience deploying AI/LLM solutions in on-premises enterprise environments.

• Experience working with legacy modernization or enterprise technology stacks.

• Knowledge of Oracle or enterprise databases.

• Experience with AI-assisted development tools such as Claude Code, Cursor, OpenCode or AgentOS.

What's In It For You?:

• High Ownership & Direct CTO Access: Work directly with the CTO and Founder with minimal hierarchy and red tape.

• Build Deep-Tech AI: Work on Agentic AI, LLMs, Advanced RAG, Knowledge Graphs and Source Code Intelligence.

• Exceptional Engineering Environment: Collaborate with PhDs, IIT graduates and engineers from leading technology companies.