Forward Deployed Engineer

Responsibilities

• Embed with assigned clients and own the technical execution of PRESHos and AI implementation engagements end to end.
• Translate client workflows, systems of record, and operational pain points into working AI systems.
• Avoid building things that should not be built.
• Write production code in TypeScript and Python across agents, integrations, workflow orchestration, 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 into client or PRESHai-managed infrastructure.
• Drive adoption inside the client. A system that nobody uses is a failed engagement.
• 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 you ship.

Requirements

• 3+ years shipping production software, with 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: tool/function calling, RAG, prompt architecture, structured outputs, workflow automation.
• Fluency in at least one major cloud ecosystem (Azure/Microsoft 365, AWS, or GCP).
• Experience with PostgreSQL and production observability.
• Comfort sitting in front of senior client stakeholders and owning the outcome, in a fast-moving environment with multiple active workstreams.

Qualifications

• Agentic AI systems, tool-calling systems, MCP servers, or multi-step AI workflows in production.
• Microsoft 365 and Azure depth: Graph API, Teams, Entra ID, Bot Service.
• Production voice AI (Twilio, ElevenLabs, OpenAI Realtime API, or similar).
• Workflow orchestration platforms (Inngest, Temporal, or comparable).
• Consulting, agency, or implementation services background.

Benefits

• Healthcare plan: medical, dental, and vision.
• 401(k) plan.
• Unlimited PTO.
• Professional development budget.
• Travel approximately 10-20% for client engagements and on-site sessions.
• Direct exposure to production AI deployment across MSPs, solution providers, distributors, and manufacturers.