Lead Software Engineer - Machine Learning

📋 Description Build autonomous, goal-driven agents with dynamic reasoning. Bridge research on LLMs with production-ready, enterprise-scale systems. Develop scalable ML infra and data pipelines for agentic workloads. Design frameworks for prompt engineering, memory, and tool integration. Collaborate with AI researchers to translate reasoning loops into code. Own feature delivery lifecycle from objectives to deployment. 🎯 Requirements Production Agentic Engineering: translate LLMs into autonomous apps with guardrails. LLMOps & Agent Evaluation: lifecycle mgmt for generative models, RAG, prompts. Distributed State & API Design: asynchronous workflows, queues, low-latency APIs. Cognitive Telemetry: monitoring reasoning paths, tool execution, costs. Technical AI Leadership: rapid prototyping, benchmark models, vector DBs. Experience: 6–9 years in software engineering and ML with production deployment. Education: Degree in Computer Science, AI, Data Science, or related field.