Senior AI Engineer

Job Description

We are looking for a Senior AI Engineer with 6+ years of experience who is passionate about building scalable AI solutions. This role is ideal for someone with a strong engineering mindset, hands-on expertise in generative AI, and the potential to grow into an architecture-focused role by contributing to solution design, technical decision-making, and AI best practices. The ideal candidate should have strong hands-on experience with LLMs, RAG, and AI agent frameworks, along with the ability to design, develop, and deliver production-ready AI applications.

Key Responsibilities

• Design and build AI-powered applications using Large Language Models (LLMs).
• Develop AI workflows and agent-based solutions using LangChain, LangGraph, or similar frameworks.
• Implement Retrieval-Augmented Generation (RAG) solutions for knowledge-driven applications.
• Contribute to designing end-to-end AI solution architectures with a focus on scalability, maintainability, and performance.
• Optimize prompts, context management, memory, and AI workflows for performance and reliability.
• Collaborate with cross-functional teams to design scalable and maintainable AI solutions.
• Contribute to technical design discussions, architecture decisions, and engineering best practices.
• Prepare technical documentation and support the deployment of AI solutions into production.

Technical Requirements

• 6+ years of software development experience with strong proficiency in Python.
• Hands-on experience with OpenAI, Azure OpenAI, or open-source LLMs.
• Experience with LangChain, LangGraph, LangSmith, or similar AI agent frameworks.
• Strong understanding of RAG architecture and AI application development.
• Experience building and integrating RESTful APIs.
• Good knowledge of prompt engineering, AI agent development, and LLM optimization.
• Understanding of scalable application design and production deployment.
• Strong problem-solving, communication, and collaboration skills.