About the role
Description
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software.
Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets.
We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.
How We Work
Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes. We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.
The Role
We’re hiring a Forward Deployed Engineer to own the technical customer journey and turn complex customer problems into production AI solutions that deliver measurable value. This is a high-impact role with significant ownership from day one. You’ll work closely with our Product Lead, VP of Sales, and Engineering teams to take strategic customers from technical discovery and solution design through implementation, production deployment, adoption, and expansion, taking problems from ambiguity through execution and measurable impact.
What You’ll Do
Own strategic AI deployments end to end, from discovery and scoping through architecture, implementation, evaluation, production rollout, and adoption.
Partner with our commercial team during pre-sales to lead technical discovery, solution design, and validation for strategic customer opportunities.
Drive post-sales technical success by leading implementation and integration work that moves customers from initial concept into production.
Build production AI systems using LLMs and modern AI models, including model APIs, tool calling, retrieval, and context management, structured outputs, and agentic workflows.
Bring customer insight back into the product, identifying patterns across deployments and turning one-off solutions into reusable components, tooling, playbooks, and product capabilities.
Identify opportunities, form strong points of view, and turn them into action.
Requirements
5+ years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer with meaningful customer ownership.
A track record of taking ambiguous customer problems from discovery through production deployment
Strong technical and commercial judgment, with the ability to make effective trade-offs across customer needs, product capabilities, and engineering complexity.
Proficiency with SQL, APIs, integrations, authentication, cloud infrastructure, and production observability.
Ability to write clean code in Python and/or Rust and React/Typescript.
Hands-on experience building AI-powered applications, including working with model APIs, context management, tool calling, retrieval, evaluation, and cost-quality-latency tradeoffs.
Comfort operating in ambiguity and taking ownership without waiting for direction.
Exceptional standards for your own work and the ability to move quickly without sacrificing quality.
Preferred Qualifications
Flexibility to work remotely. Ability to travel up to 30% of the year to collaborate in person with the team.
Excellent written and spoken English, with the ability to communicate complex technical decisions clearly to both engineering and business audiences.
Familiarity with profiling tools and performance optimization techniques.
Demonstrated ability to work in a fast-paced, collaborative environment.
Benefits
Compensation & Equity – competitive package aligned with growth, performance, and merit
Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
Originally posted on Himalayas