Forward Deployed Engineer

• 6+ years of experience in full-stack or AI/ML software engineering with a strong production track record.
• Deep familiarity with modern Generative AI patterns including agents, multi-agent frameworks, RAG, prompt engineering, and LLM evaluation strategies.
• Direct experience with agentic ecosystem components such as MCP servers, headless/background agents, and harness engineering patterns.
• Strong proficiency in Python and solid capability in TypeScript/JavaScript, Go, or an equivalent language.
• Prior experience working in startups, R&D labs, or fast-paced innovation teams.
• Daily mastery of modern AI coding assistants such as Claude Code, GitHub Copilot, and Databricks AI Assistant.

Nice to have:

• Experience operating in regulated industries like Pharmaceuticals, Healthcare, or Financial Services.
• Familiarity with compliance standards and governance frameworks such as GxP, GDPR, or SOX.

• Architect, build, and deploy sophisticated GenAI solutions, including multi-agent orchestration systems, autonomous headless agents, harness engineering, and advanced RAG architectures.
• Write clean, production-grade code across the stack using Python alongside TypeScript/JavaScript, Go, or similar modern languages.
• Build, extend, and maintain MCP (Model Context Protocol) servers and agent toolings to connect AI agents with external systems, APIs, and data stores.
• Turn rough sketches and concepts into robust, working software at high speed, maintaining quality while moving fast.
• Leverage AI coding assistants (e.g., Claude Code, GitHub Copilot, Databricks AI Assistant, Cursor) as the primary development interface.
• Implement evaluation frameworks to benchmark agent performance, accuracy, hallucination rates, and latency in production environments.