Forward Deployed Engineer

PRESHai•Tampa, FL

5d•$125,000 - $175,000•Hybrid

About The Position

PRESHai is hiring a hands-on Forward Deployed Engineer to build, deploy, and operate AI systems directly in client environments across the IT channel. Embedded with MSPs, solution providers, distributors, and manufacturers, you will turn client business problems into working AI systems and own delivery outcomes from problem framing through production deployment and adoption. Assignments may involve deep embedding with large enterprise clients or managing a portfolio of mid-market engagements; placement is determined during the interview process. This is an autonomous operator-engineer role rather than a back-office software engineering or solutions consulting position. You will work directly with senior client stakeholders, write production code, and make technical decisions in a fast-moving environment with multiple active workstreams. You will report directly to the CEO and use the platform, patterns, and tooling developed by Core Engineering, while contributing reusable patterns and improvements back to that team. The role is based at PRESHai’s downtown Tampa office with a four-days-in-office, one-day-remote schedule and approximately 10–20% travel for client engagements and on-site sessions.

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.