We're looking for a Forward Deployed Engineer – Agentic AI to build and deploy production-grade AI agent systems for regulated enterprise clients. The ideal candidate has 4–6 years of experience, strong Python and cloud skills, and hands-on experience with agentic AI tools. You'll work closely with client teams in security-conscious environments and collaborate with AI coworkers to build reliable, scalable, and high-quality solutions.
Responsibilities:
- DBuild production-grade agentic systems on cloud platforms and enterprise AI platforms
- Design and implement multi-agent workflows, RAG pipelines, tool integrations, MCP servers, and human-in-the-loop systems
- Write evaluations before features and define clear success criteria for system performance
- Integrate solutions into regulated enterprise environments with real security, access, and data constraints
- Own code quality, testing, documentation, and production support
- Practice DevSecOps from day one, including CI/CD, infrastructure as code, secrets management, IAM, and observability
- Contribute reusable IP such as code modules, evaluation frameworks, deployment runbooks, and design patterns
- Stay current with developments across cloud platforms and the broader agentic AI ecosystem, including leading AI labs and frontier releases
- Work closely with client technical teams and represent your work clearly in design reviews and discussions
- Use AI coworkers effectively as part of the delivery process while maintaining engineering judgment and accountability
Required Skills:
- Strong programming fundamentals in Python
- Production-grade coding discipline
- Hands-on experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or equivalent
- Understanding of RAG architectures, vector databases, prompt engineering, and evaluation harnesses
- Strong cloud platform experience
- Working knowledge of CI/CD, testing, infrastructure as code, and security best practices
- Strong problem-solving ability and comfort working in ambiguous environments
- Clear client-facing communication skills
- Strong academic background in computer science, engineering, mathematics, or physics
Good to Have Skills:
- Experience with TypeScript, Java, or Go
- Cloud certifications relevant to your platform experience
- Experience building production agentic systems for regulated enterprises
- Experience with DevSecOps, observability, and enterprise security constraints
- Ability to use AI tools effectively as part of the development process
- Experience creating reusable technical assets for future teams
- Exposure to leading AI labs and open-source frontier work
- Familiarity with multi-agent orchestration, MCP servers, and human-in-the-loop workflows
Qualifications
- Bachelor's degree or equivalent experience in Computer Science or related field
