Lead AI Engineer

About ThoughtFocus

ThoughtFocus is a global IT services and solutions company with deep capabilities across Data & Analytics, Cloud, Modern Engineering, and Financial Services technology. Headquartered in the US with delivery centers in India, we partner with leading enterprises to build scalable, future-ready technology solutions. Our teams are built on a culture of ownership, expertise, and long-term client partnerships — and talent is at the heart of how we grow. - https://thoughtfocus.com/

Role Overview

We are looking for an Lead AI Engineer with strong programming fundamentals and hands-on experience in Agentic AI development. The ideal candidate should be language-agnostic and capable of working across multiple technologies, with expertise in any of the following programming languages: Python, Java, C#, or C++.

This role requires solid experience in system design, OOP principles, REST API development, and building scalable AI-driven applications.

Key Responsibilities

• Design and develop AI agent-based systems and workflows
• Build scalable backend services and REST APIs
• Apply OOP principles and design patterns in production systems
• Integrate LLMs and AI capabilities into applications
• Solve complex technical problems
• Work across multiple programming languages when required
• Collaborate with cross-functional teams
• Containerize applications using Docker and support deployments
• Contribute to architecture and technical design decisions

Required Skills (Must Have)

• Strong programming skills in any of the following: Python, Java, C#, or C++
• Strong understanding of Object-Oriented Programming (OOP)
• Good knowledge of Design Patterns
• Strong problem-solving skills
• Hands-on experience building REST APIs
• Experience with AI Agent / LLM-based development
• Experience with LangChain, LangGraph, or similar AI agent frameworks
• Experience building RAG (Retrieval-Augmented Generation) systems
• Experience with AI-assisted coding / coding with AI tools
• Ability to effectively leverage AI tools for development productivity
• Exposure to Cloud platforms (AWS / Azure / GCP)
• Experience with Docker
• Ability to learn and adapt to new technologies quickly

Preferred (Good to Have)

• Understanding of Data Structures & Algorithms
• Kubernetes exposure
• Microservices architecture experience
• Experience building scalable distributed systems
• CI/CD pipeline experience

Ideal Candidate

• Strong in engineering fundamentals
• Language-agnostic developer
• Comfortable working on new technologies
• Eager to learn and adapt quickly
• Strong analytical and logical thinking
• Can contribute to architecture discussions