Forward Deployed Engineer

Daily tasks: - Agentic Systems & GenAI Development: Architect, build, and deploy sophisticated GenAI solutions, including multi-agent orchestration systems, autonomous headless agents, harness engineering, and advanced RAG architectures. - Full-Stack AI Engineering: Write clean, production-grade code across the stack using Python alongside TypeScript/JavaScript, Go, or similar modern languages. - Model Context Protocol (MCP) Integration: Build, extend, and maintain MCP servers and agent toolings to seamlessly connect AI agents with external systems, APIs, and data stores. - Rapid Prototyping to Production: Turn rough sketches and concepts into robust, working software at high speed, maintaining quality while moving fast. - AI-First Workflow: Leverage AI coding assistants as your primary development interface to accelerate solution delivery and maintain high velocity. - Production Evaluation & Reliability: Implement evaluation frameworks to benchmark agent performance, accuracy, hallucination rates, and latency in production environments. 6+ Years of Experience: Proven background in full-stack or AI/ML software engineering with a strong track record of shipping production software. Hands-on GenAI Expertise: Deep familiarity with modern Generative AI patterns, including agents, multi-agent frameworks, RAG, prompt engineering, and LLM evaluation strategies. Agentic Ecosystem Knowledge: Direct experience with MCP (Model Context Protocol) servers, headless/background agents, and harness engineering patterns. Core Tech Stack: Strong proficiency in Python and solid capability in TypeScript/JavaScript , Go , or equivalent. Startup / Innovation Mindset: Prior experience in a startup, R&D lab, or fast-paced innovation team where speed to market is critical. AI-Native Engineer: Daily mastery of modern AI coding assistants (e.g., Claude Code, GitHub Copilot, Databricks AI Assistant, Cursor) as your primary development workflow. Nice to Have Experience operating in regulated industries (e.g., Pharmaceuticals, Healthcare, Financial Services). Familiarity with compliance standards and governance frameworks such as GxP, GDPR, or SOX . Must have: AI, ML, RAG, LLM, Python, TypeScript, JavaScript, Go, R, Claude, GitHub, Databricks Nice to have: GXP, GDPR