Federato is seeking a Forward Deployed Machine Learning Engineer to build and improve production ML and LLM systems. The role involves deploying agentic workflows, developing monitoring systems, and working closely with customers. Requires 2-6 years of ML engineering experience, Python, cloud infrastructure, and LLM/agentic workflow deployment.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🚀 FORWARD DEPLOYED MACHINE LEARNING ENGINEER
đź“Ť Remote (US-Based)
đź’° Salary up to $180K Base + 15% Bonus + Competitive Equity
🏢 ~200 Employees | AI-Native Insurance Platform | $180M Total Funding
I’m currently recruiting for a Forward Deployed Machine Learning Engineer role with Federato — an AI-native platform transforming the insurance industry through agentic AI workflows and production machine learning systems.
Website: https://www.federato.ai/
Federato recently raised $100M from Goldman Sachs and is rapidly scaling its ML and AI engineering organization.
🔥 WHY THIS ROLE STANDS OUT
• AI-native company from day one — not “AI bolted on”
Searching for Machine Learning & AI roles that provide visa sponsorship? Connect with international employers through Machine Learning & AI Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
• Build production LLM and agentic workflow systems used by real enterprise customers
• Work directly on underwriting automation, intelligent submission triage, and decision systems
• High ownership, fast-moving engineering culture
• Fully remote within the US
• Visa sponsorship available
🧠WHAT YOU’LL BE WORKING ON
• Deploying and improving production ML and LLM systems
• Building agentic workflows and automation pipelines
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
• Developing evaluation, monitoring, debugging, and observability systems
• Improving underwriting decision systems and submission intake workflows
• Working closely with customers and cross-functional stakeholders
• Translating ML capabilities into scalable real-world business solutions
âś… MUST HAVES
• 2–6 years of experience in ML Engineering
• Experience deploying LLM / agentic workflow systems into production
• Experience at a startup or high-growth environment (not pure Big Tech only)
Interested in opportunities specifically in United State? Discover our dedicated Visa Sponsorship Jobs in United State page featuring roles from top employers in this location.
• Strong Python and cloud infrastructure experience
• Experience with evaluation pipelines, monitoring systems, debugging, and observability
• Prompt engineering and agentic workflow experience in real-world environments
• Strong communication and customer-facing skills
• Experience in insurance, fintech, enterprise SaaS, or complex data workflows preferred
• Bachelor’s or Master’s degree in CS, AI, Data Science, Mathematics, or related field
⚠️ NOT A FIT IF
• Pure research / academia background without production deployment experience
• Big Tech-only background without startup or fast-paced ownership experience
Similar Jobs
Explore other opportunities that match your interests
wizerr ai
Senior Analyst, Predictive Analytics and Machine Learning
Credit Acceptance
