Forward Deployed Engineer Jobs

About The Position

Requirements

• At least 3 years of experience shipping production software, including at least 1 year shipping LLM-powered, automation, or integration systems in production.
• Strong production coding ability in TypeScript and/or Python.
• Practical experience with APIs, databases, OAuth flows, third-party integrations, webhooks, and system-to-system data movement.
• Experience with LLM application patterns, including tool or function calling, RAG, prompt architecture, structured outputs, and workflow automation.
• Fluency in at least one major cloud ecosystem: Azure/Microsoft 365, AWS, or GCP.
• Experience with PostgreSQL and production observability.
• Comfort working with senior client stakeholders and owning outcomes in a fast-moving environment with multiple active workstreams.

Nice To Haves

• Production experience with agentic AI systems, tool-calling systems, MCP servers, or multi-step AI workflows.
• AI, automation, or integration implementation experience in MSP, VAR, distributor, vendor, professional services, legal, or complex B2B environments.
• Depth in Microsoft 365 and Azure, including Graph API, Teams, Entra ID, or Bot Service.
• Production voice AI experience with Twilio, ElevenLabs, OpenAI Realtime API, or similar.
• Experience with workflow orchestration platforms such as Inngest, Temporal, or comparable tools.
• Consulting, agency, or implementation services background.

Responsibilities

• Embed with assigned clients and own the end-to-end technical execution of PRESHos and AI implementation engagements.
• Translate client workflows, systems of record, and operational pain points into working AI systems, avoiding unnecessary solutions.
• Write production code in TypeScript and Python for agents, integrations, workflow orchestration, retrieval-augmented generation (RAG), and voice interfaces.
• Build and maintain integrations with client CRMs, PSAs, ITSMs, ERPs, communication platforms, databases, and custom internal systems.
• Configure environments, manage credentials safely, and deploy to client or PRESHai-managed infrastructure.
• Drive client adoption of delivered systems.
• Lead working sessions with client engineering, IT, operations, and business stakeholders.
• Surface blockers, scope creep, and integration risks early and directly.
• Communicate technical decisions and tradeoffs clearly to non-technical stakeholders.
• Train client teams to operate, extend, and trust the systems delivered.
• Use Core Engineering architecture, patterns, and tooling, and contribute fixes, missing primitives, and reusable patterns back to the team.
• Maintain observability, error handling, and human-in-the-loop escalation in delivered systems.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Unlimited PTO
• Professional development budget