Senior Forward Deployed Full Stack Engineer

About Autonomize AI Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible. We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI Role Overview As a Forward Deployed Engineer (FDE) at Autonomize AI, you are the technical face of the company. You will sit at the intersection of Engineering, Product, and the Customer. Your mission is to deploy Autonomize AI platform into complex healthcare environments, ensuring that our technology solves real-world administrative burdens. In this role, you will work alongside Solutions Engineers and Architects to execute rapid prototyping of complex Healthcare workflows — taking customers from discovery to live production 60 days. Key Responsibilities Full-Stack Implementation: Develop and customize user-facing components, APIs, and workflow orchestrations to integrate Autonomize AI into customer EHRs and claims systems. Applied ML Engineering: Fine-tune and configure LLMs and machine learning models for specific customer use cases (e.g., Prior Authorization, CM Audit, or HEDIS reviews). DevOps & Deployment: Assist in the deployment of our platform across various environments (SaaS and VPC), ensuring high reliability and security compliance. Business Analysis & Discovery: Translate complex customer business requirements into technical specifications. You will help define the "Success Criteria" for each deployment. Required Skills & Qualifications Education: B.S. or M.S. in Computer Science, Data Science, or a related technical field. Full-Stack Development: Proficiency in modern languages (Python preferred) and experience with web frameworks and API design (REST/GraphQL). Machine Learning: Foundational understanding of NLP, Large Language Models (LLMs), and data preprocessing. Experience with frameworks like PyTorch or TensorFlow is a plus. Infrastructure/DevOps: Exposure to cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes). Analytical Mindset: Ability to act as a Business Analyst—asking the right questions to understand a customer’s "pain point" before writing a single line of code. Communication: Exceptional ability to explain technical AI concepts to non-technical healthcare stakeholders. Bonus Points Experience leading a team of developers, driving quality and deliverables through direction, mentoring and code reviews Experience working with stakeholders to translate business needs into actionable development requirements Familiarity with visualization libraries Familiarity with AI/ML, Data Analytics frameworks - PyTorch, Tensorflow, HuggingFace Familiarity with various databases like Postgres, Elasticsearch (ELK), or GraphDBs (neo4j, Tiger Graph etc) Exposure on OpenAI APIs. Worked on Kafka, ActiveMQ and/or REDIS What We Offer A chance to make a real impact in the future of healthcare Autonomy, ownership, and the ability to chart your own growth path Competitive compensation and benefits 100% employer-paid health, vision, and dental insurance Retirement plans (401k), disability insurance, employee assistance programs We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.