About The Company
Jobot is supporting a US-based engineering team transforming how government agencies digitize forms and automate workflows. The company builds a modern, established platform that helps public-sector organizations make services more accessible and efficient. Its latest initiative brings enterprise AI capabilities into the platform, using large language models, vector search, and structured PDF parsing to improve how forms are created and processed.
Rather than treating AI as an add-on, the team is making intelligent automation a core part of the product. This is an opportunity to contribute to production systems that serve thousands of public-facing government forms and help people complete important tasks more quickly and accurately.
About The Role
As Senior Machine Learning Engineer, you will lead the architecture and delivery of the platform’s AI capabilities. You will build practical machine learning infrastructure, beginning with vector search and retrieval-augmented generation (RAG), and expanding toward fine-tuned language models and human-feedback loops. Working closely with product, full-stack, and platform engineering teams, you will integrate intelligent features into a no-code form builder and help ensure that AI components operate reliably at production scale.
This is an implementation-focused role, not a research or experimentation position. You will evaluate emerging model capabilities and recommend technologies that create measurable value for users and government service delivery.
Responsibilities
Design, implement, and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search, including hybrid search strategies. Develop prompts, agents, and orchestration workflows that transform parsed PDF information into structured form-component schemas. Fine-tune large language models to generate consistent structured JSON outputs while meeting latency and reliability requirements.
Lead development of a reinforcement learning from human feedback (RLHF) process using feedback from the builder interface and relevant audit data. Architect dependable systems that combine conventional APIs with probabilistic model inference, with appropriate attention to accuracy, observability, and production behavior. Partner with full-stack and platform engineers to integrate, deploy, and maintain AI services.
Contribute to technical planning, assess new models and tools, and help define the roadmap for AI integrations across the platform.
Qualifications
At least five years of experience in applied machine learning, including hands-on work with retrieval, embeddings, and prompt engineering.
Strong
Python skills and experience building or operating production-grade machine learning pipelines are required. You should have practical experience designing and tuning RAG workflows, including hybrid search, and familiarity with model fine-tuning, RLHF concepts, and structured-output generation. You bring strong system-level judgment and can integrate machine learning capabilities into established product environments in a reliable, maintainable way.
Experience with Azure AI Studio, Azure OpenAI, GPT-4o, Azure AI Search, Cosmos DB, SQL Server, Kubernetes on AKS, Azure Blob Storage, or CI/CD tools such as Octopus is valuable. Familiarity with .NET 8 is a plus, particularly for integration and orchestration layers.
Experience with structured PDF parsing tools such as Extend.ai is also beneficial.
Benefits
This is a 100% remote opportunity for candidates based in the United States, with a salary range of $160,000 to $200,000 per year. You will help shape AI-enabled public services, lead initiatives that move from design into production, and develop new capabilities on a proven platform. The role includes comprehensive health, vision, and dental coverage for individuals and families, along with the opportunity to influence the company’s AI direction and deliver meaningful improvements for end users.
Equal Opportunity
Jobot is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information, or any other status protected by applicable law. Jobot prohibits harassment and complies with applicable federal, state, and local employment laws, including laws concerning unemployment status and the consideration of qualified candidates with criminal histories.
Background checks may be conducted with authorization where permitted by law. Candidate information is handled in accordance with Jobot’s applicable privacy notices and policies.