What are the responsibilities and job description for the Forward Deployed Engineer position at Collinear AI?
About the Company
Born from the understanding that AI deployment shouldn't require months of preparation or compromise on quality, we've built a comprehensive platform that turns your brand values into production-ready AI applications in days, not months.
Our product is AI Judges that are trained with proprietary auto-align technology and powered by state-of-the-art research on Alignment and RL. We help companies build AI systems that aren't just safe and reliable, but truly aligned with their brand values and business objectives.
Backed by top-tier Silicon Valley venture capital firms, we're on a mission to make safe, reliable, and highly-performant frontier AI for enterprise use-cases a reality.
Join us in pushing the boundaries of what's possible in AI! Learn more about the company here.
About the Role
As a Forward-Deployed Engineer, you’ll be on the frontlines of deploying agentic conversational systems into these environments. Your work will blend engineering, applied ML, and customer collaboration. You’ll:
- Integrate Collienar’s simulation and data curation pipelines into customer environments.
- Design and run user simulations that mimic real behaviors — impatient airline travelers, confused telecom users, skeptical banking clients, and more.
- Build and orchestrate multi-turn conversational agents that can reason, call tools/APIs (e.g., booking systems, EMRs, billing platforms), and recover gracefully from errors.
- Curate post-training data from real and simulated interactions to identify weaknesses and drive iterative improvements.
- Implement guardrails, safety checks, and compliance mechanisms tailored to regulated industries (e.g., HIPAA in healthcare, PCI in banking).
- Capture deployment learnings into modular, reusable components that accelerate future rollouts.
This is a hands-on, high-impact role where you’ll see your work make a tangible difference in mission-critical domains.
About You
You thrive at the intersection of engineering execution and applied AI. You’re comfortable writing production code, deploying systems in customer environments, and iterating quickly with research-driven methods.
We’d love to hear from you if you:
- Have strong software engineering skills (Python preferred), with experience in APIs, debugging, and deployment.
- Understand conversational AI and agentic workflows: LLMs, RAG pipelines, multi-turn orchestration, and prompt design.
- Have experience with data curation and evaluation: analyzing dialogues, identifying brittleness, and designing test suites.
- Can work directly with enterprise customers, translating messy real-world requirements into clean technical solutions.
- Are curious, adaptable, and motivated by solving problems in real-world, high-stakes domains.
Nice-to-haves include:
- Prior work with compliance and safety constraints (HIPAA, PCI, SOC2).
- Experience with orchestration frameworks (LangGraph, LangChain, etc.).
- Background in synthetic user simulations, reward modeling, or reinforcement learning.
Notes
We are working with leading global enterprises to deliver cutting-edge AI safety and reliability tools. And we are looking for brilliant, high-agency, low-ego rockstars to join us on this crusade. We want the best of the best and firmly believe greatness begets greatness.
Come here to push yourself hard, learn things fast, experience unmatched excellence, and do your life's work.
