Forward Deployed Engineer

PRESHai•Tampa, FL

4d•Hybrid

About The Position

PRESHai is hiring Forward Deployed Engineers to build, deploy, and stand up AI systems directly inside client environments across the IT channel. This is a hands-on delivery role embedded with MSPs, solution providers, distributors, and manufacturers. The engineer turns business problems into working AI systems, writes the code, works directly with clients, and owns the outcome. Assignments may involve deep embedding with large enterprise clients or running a portfolio of mid-market engagements; placement is determined during the interview process. The role reports directly to the CEO and operates in a deliberately flat structure with high autonomy and shared context through PRESHai's internal PRESHos systems. Engineers use the platform, patterns, and tooling built by Core Engineering and contribute reusable patterns back to accelerate future engagements.

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/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 with 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 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, and avoid building solutions that are unnecessary.
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 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.
Build using the architecture, patterns, and tooling defined by Core Engineering, 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.