Forward Deployed Engineer, Research

Ersilia; San Francisco (CA); In loco; USD 170.000 - 210.000; Tempo pieno

Descrizione del lavoro

Ersilia is hiring a Forward Deployed Engineer to join customer teams and own outcomes end to end. You will embed with a customer, shaping how agents and models perform in real usage and actively shaping the training data and evaluation loops.

The role emphasizes working with technically savvy customers, owning the customer relationship, and delivering measurable impact. This position requires SF-based work and six-day schedules with initial relocation consideration for NYC candidates.

Competenze

• At least one year of significant experience building AI agent systems used by real people or forward-deployed experience with coding ownership.
• Strong software fundamentals across a modern stack and CS background.
• Proven ability to work with highly technical customers, researchers, and engineers.

Mansioni

• Turn live usage into training data by building pipelines from production logs without a separate labeling step.
• Test and score models in live settings, optimizing for reliability and customer workflows.
• Trace data changes to model behavior to reduce guesswork in training loops.

Conoscenze

Agent systems

Software engineering fundamentals

Technical customer credibility

Customer ownership

Computer science background

Formazione

Bachelor's in Computer Science or related field

Descrizione del lavoro

About the company

The company works on the data and infrastructure problems behind frontier model training and deployed AI agents. It partners directly with labs on post-training research and infrastructure, and deploys models and agents for large enterprises and government customers.Less than four months into operation, the company is already profitable with over seven figures in realized revenue and additional contracted revenue. The small team includes engineers and early employees from leading enterprise software, AI, and semiconductor companies, supported by early institutional and angel investors including senior researchers from leading AI labs.

About the role

As a Forward Deployed Engineer, you sit inside a customer’s team and own the work of making their

agents and models better. You are not shipping a generic product. You are embedded with a specific

customer, working from real usage, and accountable for that relationship’s outcomes end to end.

What you will do

Turn live usage into training data:

Build pipelines that pull signal from production logs, including which answers users keep, override, or later correct, and turn that signal into training data without a human labeling step in the middle.

Test models that are already live

Build scoring that is inexpensive enough to run on customer traffic, tuned to what each customer considers good, and sensitive enough to catch a broken workflow before overall metrics move.

Trace what data caused what

Build systems that connect changes in model behavior to the data that drove those changes, reducing guesswork in the training loop.

What we are looking for

Agent systems or FDE experience:

At least one year of significant experience building AI agent systems used by real people, or technical forward-deployed experience with direct coding ownership.

Software engineering

Strong software fundamentals in any stack, supported by a computer science background and real software engineering experience.

Technical customer credibility

Ability to work effectively with highly technical customers, especially researchers and engineers rather than only business buyers.

Customer ownership

Comfort owning a customer relationship directly and being accountable for outcomes.

Schedule and location:

Able to work six days each week and be based in San Francisco. New York candidates may be considered after spending their first 3-6 months in San Francisco.