Role Description
Forward Deployed Engineer | AI Startup | NYC
Primis is partnered with a well-funded AI startup building an observability and evaluation platform for AI applications in production.
They're Series C, backed by strong institutional investors, with significant funding behind them and a growing customer base of Fortune 500 enterprises.
They're hiring a Forward Deployed Engineer to join a growing Solutions Engineering team and act as a trusted technical advisor to enterprise customers.
What you'll work on:
- Partner with enterprise ML and GenAI teams to help them understand and improve how their AI performs in production
- Lead technical discussions with data scientists and engineers, then shift gears to business conversations with directors and executives
- Advise on GenAI and ML best practices, model evaluation, and production deployment
- Demo the product to both technical and non-technical audiences
- Feed customer insights back into the product roadmap by working closely with engineering and product teams
- Identify and drive expansion opportunities within existing accounts
What we're looking for:
- Background as a Data Scientist, ML Engineer, or Engineer working with ML or GenAI applications in produ ction
- Hands-on experience with cloud environments (AWS, Azure, or GCP)
- Familiarity with ML frameworks and LLM/agentic tooling
- Solid understanding of the ML lifecycle - feature generation, training, deployment, and real-time scoring
- Proficiency in Python or another programming language
- Strong communicator who can make complex technical concepts accessible to any audience
- Previous customer-facing experience (Solutions Architect, Sales Engineer, CSE, Consultant) is a strong plus
- Remote with offices in NYC or SF
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Interested? Apply or message me directly for more info.
ADVERT DISCLAIMER
Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply - don't worry if you don't tick every single box. We'd still love to hear from you. We encourage underrepresented talent to apply to all our roles and support accessibility needs.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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