Jobot
Jobot Pay Range
Base pay: $140,000 - $180,000 per year. This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Job Overview We’re building a US-based .NET team tasked with modernizing our platform using the latest suite of Microsoft enterprise AI tools and services. The role is part of a new initiative to embed AI directly into government agency workflows using LLMs, vector search, and structured PDF parsing. It is not an R&D sandbox – it’s about delivering intelligent automation at scale.
Benefits
100% remote based in the US
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 and Dental coverage for individuals and families
Job Responsibilities
Design and build our machine learning infrastructure, starting with vector search and retrieval‑augmented generation and expanding into fine‑tuned LLMs with human feedback loops.
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 a 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.
Technical Stack
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
Required Qualifications
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.
Success in 6 Months
Shipped a working vector search + RAG pipeline integrated into our form builder.
Scoped and kicked off our first LLM fine‑tuning cycle.
Collected human feedback to improve model accuracy.
Helped define the roadmap for AI integrations across the platform.
Apply Easy Apply by clicking the “Easy Apply” button and sending your resume.
Equal Opportunity Employer 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 consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI‑generated calls, text messages, or emails from Jobot and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here jobot.com/privacy-policy.
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Job Overview We’re building a US-based .NET team tasked with modernizing our platform using the latest suite of Microsoft enterprise AI tools and services. The role is part of a new initiative to embed AI directly into government agency workflows using LLMs, vector search, and structured PDF parsing. It is not an R&D sandbox – it’s about delivering intelligent automation at scale.
Benefits
100% remote based in the US
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 and Dental coverage for individuals and families
Job Responsibilities
Design and build our machine learning infrastructure, starting with vector search and retrieval‑augmented generation and expanding into fine‑tuned LLMs with human feedback loops.
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 a 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.
Technical Stack
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
Required Qualifications
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.
Success in 6 Months
Shipped a working vector search + RAG pipeline integrated into our form builder.
Scoped and kicked off our first LLM fine‑tuning cycle.
Collected human feedback to improve model accuracy.
Helped define the roadmap for AI integrations across the platform.
Apply Easy Apply by clicking the “Easy Apply” button and sending your resume.
Equal Opportunity Employer 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 consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI‑generated calls, text messages, or emails from Jobot and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here jobot.com/privacy-policy.
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