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.