Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Kepler is building the infrastructure layer that wraps around AI models to make their outputs reliable, traceable, and verifiable. This role will own the models inside Kepler's AI research platform, focusing on model selection, fine-tuning, and the systems that support them. You will work at the intersection of AI and finance, impacting critical business decisions for financial professionals.

Responsibilities

• Own the models inside Kepler's AI research platform, including model selection, fine-tuning, evaluation, and extraction systems.
• Ensure model choice is a permanent engineering problem to be solved.
• Fine-tune models for specific tasks and evaluate their performance against frontier models.
• Build and integrate evaluation harnesses to score agent research runs.
• Redesign model routing across workflows to optimize for reasoning, extraction, and verification.
• Identify and resolve issues in workflows to improve success rates.
• Take ownership of entire functional areas, potentially extending the platform to new industries or leading new architecture as infrastructure scales.
• Own systems end-to-end in a small team environment.
• Collaborate closely with a close-knit team in New York.
• Utilize AI tools heavily in the development process.
• Work within a fast-paced startup environment with a high engineering bar.
• Handle unglamorous problems, including regressions, bugs, and last-minute debugging.
• Roll up sleeves and handle tasks as part of a team.

Requirements

• 5+ years of experience building production software.
• Shipped ML systems to production (fine-tuning, agents, retrieval, structured extraction).
• Understand what breaks between a demo and a product.
• Treat evaluations as engineering, building measurements before features.
• Strong general engineering fundamentals.
• Experience in other languages is acceptable if strong engineering fundamentals exist.
• Quick learner, comfortable in unfamiliar codebases.
• Care about the end-user's experience with shipped products.
• Proactive in fixing issues rather than filing tickets.
• Provide constructive feedback on designs before PR submission.
• Communicate proactively about potential issues.
• Respond promptly when teammates need assistance.
• Adapt to changing plans and still deliver work.
• Prioritize problem-solving ability, systems thinking, and drive to build transformative agentic infrastructure.

Skills

• Fine-tuning
• ML systems
• Agents
• Retrieval
• Structured extraction
• Evaluation harness development
• Model routing
• Rust (backend)
• TypeScript (frontend)
• React (frontend)
• PostgreSQL
• AWS
• AI tools (Cursor, Claude Code)

Location

• New York

Work Type

• Onsite
• Full-time

Experience Level

• 5+ years

Benefits

• 100% covered top-of-the-line medical, dental, and vision insurance for employees and their families
• HSA maxed by the company to the IRS limit
• Automatic coverage for life, AD&D, and disability insurance
• Daily lunch in office
• Unlimited PTO policy
• Development environment budget (MacBook Pro, monitors, ergonomic setup, development tools)
• "Build anything" budget for tools, libraries, datasets, or infrastructure
• Learning budget for conferences, courses, or programs

About the Company

• Kepler is building the infrastructure layer that wraps around AI models to make their outputs reliable, traceable, and verifiable.
• The company addresses the problem of AI adoption in high-stakes industries where errors are unacceptable.
• Kepler's architecture uses a deterministic code pipeline, ensuring every data point and computation is traceable and auditable.
• The initial focus is on the finance industry, with plans to expand to chemicals, legal, and healthcare.
• The founding team has extensive experience from Palantir in building large-scale data infrastructure and AI platforms.
• The CEO is a repeat founder with experience scaling and selling a data company, and previously led Business Engineering at Citadel.
• Kepler is backed by prominent investors in the AI and data space, including founders of OpenAI, Meta AI Research, and dbt Labs.

Equal Opportunity

• Kepler is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
• We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.