Jobs via Dice
Senior AI/ML Engineer
New U.S. based .NET team tasked with making an existing, modern platform utilize Microsoft’s latest suite of enterprise AI tools and services. We’re transforming how government agencies digitize forms and automate workflows by integrating LLMs, vector search, and structured PDF parsing to accelerate public service delivery. This role is focused on delivering intelligent automation at scale, not on research experiments. Salary:
$140,000 - $180,000 per year Why join us?
100% remote based in the U.S. Help shape the AI transformation of public‑sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families What you’ll do
Build and tune vector‑based retrieval pipelines using OpenAI embeddings and Azure AI Search. Design prompt strategies and agents to translate parsed PDF data into form component schemas. Fine‑tune LLMs for structured output generation with low‑latency performance in mind. Lead the development of an RLHF loop that incorporates builder UI feedback and audit data. Help architect systems that blend traditional APIs and probabilistic inference reliably. Work alongside full‑stack and platform engineers to get it all running in production. Stay plugged into the latest model capabilities and make smart calls on what to adopt. Tech you’ll use
Azure AI Studio, Azure OpenAI, GPT‑4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we’re looking for
5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering. Strong Python skills and familiarity with production‑grade ML pipelines. Experience designing and tuning RAG workflows with hybrid search. Familiarity with RLHF and fine‑tuning on structured JSON output. Solid grasp of system‑level thinking—how to bring ML into product environments cleanly. Nice to have: .NET understanding, especially for integration and orchestration layers. What success looks like in 6 months
Shipped a working vector search + RAG pipeline integrated into our form builder. Scoped and kicked off the first LLM fine‑tuning cycle. Collected human feedback to improve model accuracy. Helped define the roadmap for AI integrations across the platform. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting the consideration of unemployment status in making hiring decisions.
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New U.S. based .NET team tasked with making an existing, modern platform utilize Microsoft’s latest suite of enterprise AI tools and services. We’re transforming how government agencies digitize forms and automate workflows by integrating LLMs, vector search, and structured PDF parsing to accelerate public service delivery. This role is focused on delivering intelligent automation at scale, not on research experiments. Salary:
$140,000 - $180,000 per year Why join us?
100% remote based in the U.S. Help shape the AI transformation of public‑sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families What you’ll do
Build and tune vector‑based retrieval pipelines using OpenAI embeddings and Azure AI Search. Design prompt strategies and agents to translate parsed PDF data into form component schemas. Fine‑tune LLMs for structured output generation with low‑latency performance in mind. Lead the development of an RLHF loop that incorporates builder UI feedback and audit data. Help architect systems that blend traditional APIs and probabilistic inference reliably. Work alongside full‑stack and platform engineers to get it all running in production. Stay plugged into the latest model capabilities and make smart calls on what to adopt. Tech you’ll use
Azure AI Studio, Azure OpenAI, GPT‑4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we’re looking for
5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering. Strong Python skills and familiarity with production‑grade ML pipelines. Experience designing and tuning RAG workflows with hybrid search. Familiarity with RLHF and fine‑tuning on structured JSON output. Solid grasp of system‑level thinking—how to bring ML into product environments cleanly. Nice to have: .NET understanding, especially for integration and orchestration layers. What success looks like in 6 months
Shipped a working vector search + RAG pipeline integrated into our form builder. Scoped and kicked off the first LLM fine‑tuning cycle. Collected human feedback to improve model accuracy. Helped define the roadmap for AI integrations across the platform. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting the consideration of unemployment status in making hiring decisions.
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