
Lead AI Engineer
5 days ago
Key Responsibilities :
- Spearhead design and development of advanced agentic workflows and LLM systems
- Lead AI projects across the lifecycle : prototyping, evaluation, deployment, and optimization
- Apply expertise in prompt engineering, agent orchestration, and observability to optimize LLM performance
- Collaborate with cross-functional teams to integrate AI capabilities into enterprise workflows
- Drive scalable AI/ML workload deployments leveraging MLOps and DevOps practices
- Evaluate, fine-tune, and benchmark large language models to ensure accuracy, reliability, and efficiency
- Mentor junior engineers and foster a culture of innovation and technical excellence
Required Skills & Qualifications :
- 5-8 years of experience in AI/ML engineering with focus on LLMs
- Proficiency in LangChain, LangGraph, Pydantic, , and MCP
- Strong understanding of LLM architecture, behavior, and evaluation methods
- Hands-on expertise in MLOps and DevOps, with proven experience in deploying workloads at scale
- Solid background in prompt engineering, observability, and agent orchestration
- Demonstrated ability to lead and deliver AI/ML projects end-to-end
Preferred Qualifications (Nice to Have) :
- Experience in building enterprise-grade AI products or agentic platforms
- Background in reinforcement learning, retrieval-augmented generation (RAG), or multi-agent systems
- Strong research-to-production mindset with exposure to cutting-edge LLM evaluation techniques
- Prior experience working in high-growth startups or innovative AI-first organizations
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