Lead AI Engineer

We are seeking a Lead AI Engineer with strong software engineering foundations and hands-on experience in Generative and Agentic AI. In this role, you will architect, design and build production-grade AI systems powered by large language models and intelligent agents.

You will design scalable AI workflows, integrate autonomous agents into real-world applications, and help translate cutting-edge AI capabilities into reliable business solutions.

Responsibilities

• Architect and Design production-ready applications leveraging Generative AI and agentic AI frameworks.

• Build, Deploy and Monitor intelligent workflows using LLMs, multi-agent coordination, and orchestration pipelines.

• Integrate new AI applications with traditional pre-existing applications.

• Implement prompt engineering strategies, retrieval-augmented generation (RAG), and contextual memory systems.

• Implement various AI coding techniques (context-driven, spec-driven development etc.).

• Architect and implement AI agents capable of reasoning, planning, and multi-step task execution.

• Implement and utilize Model Context Protocol (MCP) patterns to enable structured communication between agents, tools, and systems.

• Provide mentoring and technical guidance to developers and other AI Engineers.

• Develop evaluation pipelines to measure accuracy, safety, and performance of AI systems.

• Optimize latency, cost efficiency, and scalability of AI-powered workflows.

• Collaborate with product managers, data teams, and software engineers to deliver AI features.

• Ensure reliability through testing, logging, monitoring, and observability of AI behavior.

• Own architectural decisions, coding standards, and best practices.

• Act as an AI trailblazer for development teams by promoting best practices, reusable patterns, and adopting AI-driven engineering approaches.

• Apply AI governance principles to ensure responsible model usage, auditability, and transparency in AI workflows.

• Support implementation of governance controls related to data handling, model behavior monitoring, and risk mitigation.

• Research emerging AI tools and frameworks to continuously improve system capabilities.

• Document AI workflows and maintain reproducible engineering processes.

Qualifications

• 8+ years of professional software development experience (Dotnet/React/Full-stack) with mentorship/team leadership experience.

• Minimum 2 years of hands-on experience building applications using Generative AI or agentic AI systems.

• Strong proficiency in Python and backend engineering principles.

• Experience designing RESTful APIs and scalable service architectures.

• Practical experience with LLM APIs, embeddings, vector search, or RAG pipelines.

• Working knowledge of AI governance principles, responsible AI practices, or compliance considerations.

• Familiarity with agent frameworks and autonomous decision workflows.

• Understanding of data structures, system design, and performance optimization.

• Strong analytical thinking and problem-solving skills.

Preferred Qualifications

• Experience deploying AI applications in cloud environments (preferably AWS).

• Familiarity with vector databases and knowledge retrieval architectures.

• Experience working with Git, CI/CD pipelines, and production deployments.

• Exposure to containerization and orchestration tools (Docker, Kubernetes).

• Experience implementing evaluation or monitoring pipelines for AI agents.

• Knowledge of AI safety, guardrails, and responsible AI practices.

• Knowledge of distributed systems or event-driven architecture.