Lead AI Engineer (S04/S05)
Systango Technologies LimitedMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and development of enterprise-grade AI applications using LLMs, RAG, and AI agent frameworks.
Develop, deploy, monitor, and optimize scalable AI solutions integrated with backend services and enterprise data sources.
Mentor engineering teams and establish AI architecture standards and best practices.
Minimum Requirements
8–10 years of software development experience with strong software architecture and distributed systems understanding.
3–4 years experience designing and deploying GenAI or LLM-based production applications with RAG and agentic AI systems.
Proficient in Python/Java/NodeJS; experience with FastAPI or similar frameworks; expertise in vector databases like Pinecone, Weaviate, or FAISS.
Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), CI/CD, and production deployment of AI applications.
Ideal Candidate Profile
Experienced in building scalable, production-grade enterprise AI products with a focus on GenAI technologies and multi-agent system design.
Skilled in integrating complex AI workflows with backend APIs, databases, and cloud infrastructure.
Strong technical leadership demonstrated by mentoring engineers and defining AI engineering standards in cross-functional teams.