Forward Deployed Engineer

What you'll do

• Own end-to-end technical delivery across multiple AI workflow deployments from prototype to production rollout
• Build and deploy AI agents, workflow automation, and integration pipelines into operational systems
• Develop MCP servers, sub-agents, retrieval pipelines, structured extraction templates, and supporting infrastructure
• Resolve data readiness, permissions, and system integration blockers to ensure production readiness
• Ensure deployed solutions meet reliability, latency, and observability requirements for enterprise operations
• Embed with GTM functional leaders to identify and scope high-impact AI opportunities
• Define success criteria and measurable outcomes for workflows with business stakeholders
• Translate business requirements into technical designs and manage scope trade-offs
• Guide functional teams through AI adoption, building trust and ensuring active use of solutions
• Codify deployment patterns, connector templates, evaluation frameworks, and observability standards into reusable playbooks
• Feed learnings back to internal AI platform teams to accelerate AgenticOS development
• Contribute to evaluation design, precision/recall benchmarks, human review queues, and audit trails
• Maintain strong knowledge of LLM capabilities, agent development frameworks, and enterprise AI tooling

Requirements

• 2+ years of software engineering or technical deployment experience including direct customer-facing or embedded delivery work
• Hands-on experience with modern AI tooling such as Claude, ChatGPT API, Notion AI, or comparable agent-development frameworks
• Production experience with LLMs: prompt engineering, agent development, retrieval-augmented generation, evaluation frameworks, and deployment at scale
• Strong programming proficiency in Python
• Demonstrated ability to ship production-grade integrations in fast-moving or ambiguous environments
• Experience building integrations with enterprise platforms such as Salesforce, Jira, or comparable CRM and workflow systems
• High agency and sound judgment under ambiguity: ability to scope work, sequence delivery, remove blockers, and protect timelines independently
• Strong communication skills: able to conduct discovery with business stakeholders, convey technical trade-offs clearly, and maintain alignment across engineering and functional teams

Tech stack

Benefits