Lead GenAI Engineer

📋 Description

• Design and implement scalable, secure, and reliable Generative AI architectures for enterprise
• Define technical standards, reference architectures, and best practices for GenAI platforms and
• Ensure AI solutions meet requirements for performance, observability, scalability, compliance, and
• Build and deploy Python-based GenAI services, APIs, and intelligent automation solutions
• Design and implement agentic workflows using frameworks such as LangGraph, Microsoft Copilot
• Develop orchestration logic supporting multi-agent and multi-step reasoning workflows

🎯 Requirements

• 5+ years of experience in AI/ML Engineering, Software Engineering, Solution Architecture, or
• 1.5+ years of hands-on experience developing and deploying Generative AI or LLM-powered solutions
• Strong proficiency in Python and modern software engineering practices
• Experience building production-grade AI services, APIs, and orchestration frameworks
• Deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Embedding
• Hands-on experience with vector databases such as Pinecone, Weaviate, or FAISS

🎁 Benefits

• Complete and competitive benefits package
• Collaborative work environment
• Competitive compensation
• Generous work/life opportunities
• Paid time off plus holidays
• Rewards and recognition programs including billable bonus opportunities