Forward Deployed Engineer | AI Observability Startup | NYC

Primis is partnered with a series D AI startup in NYC building the leading observability and evaluation platform for AI agents and applications. They work with 150+ leading enterprises and Fortune 500 customers, and are backed by top-tier institutional investors. The team is made up of industry veterans who've built deep learning infrastructure, autonomous drones, ridesharing marketplaces, and ad tech at scale.

They're hiring a Forward Deployed Engineer to act as a trusted technical advisor to their customers, helping the most sophisticated ML and GenAI teams in the world ship reliable, high-performing systems.

What you'll work on:

• Act as a trusted advisor to customers, building relationships with both technical and business stakeholders

• Advise on GenAI and ML best practices, and give product demos to technical and business audiences

• Run strategic business reviews for customers in partnership with the sales team

• Gather client goals and KPIs, working closely with the pre-sales engineering team

• Partner with product and engineering to help shape the roadmap

• Spearhead new opportunities within existing accounts to drive expansion

What we're looking for:

• Previous experience as a Data Scientist, Machine Learning Engineer, or Engineer working with ML models or GenAI applications in production

• Comfortable working in public cloud environments (AWS, Azure, GCP)

• Knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

• Knowledge of LLM and agentic frameworks such as LlamaIndex, LangGraph, and DSPy

• Understanding of ML/DS concepts and the model lifecycle: feature generation, training, deployment, batch and real-time scoring via REST APIs

• Understanding of GenAI concepts and the application evaluation and development lifecycle

• Proficiency in a programming language (Python, JS/TS, Java, Go, etc.)

• Strong communication skills, with the ability to simplify complex technical concepts

• A quick, self-directed learner who isn't daunted by the complexity of production ML deployments

Bonus points for:

• Prior engineering experience in Data Science, MLOps, ML frameworks, or LLM/agentic frameworks

• Customer-facing experience such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Services

• Experience with applications deployed on Kubernetes

• Experience demoing technical products to both business and technical audiences

Interested? Please apply 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.