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153 of 472 matching · page 3 of 4

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153 of 472 matching · page 3 of 4

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Agent engineeringSeniorNew

Senior AI/ML Engineer

JobotRemote (US) (Remote)

Posted 1d ago/Full-time/$160k–$200k/yr/Expires Nov 10, 2026

Apply on company site

Why it matters

The engineer owns agent prompting and orchestration for structured document-to-form generation, plus RAG, fine-tuned LLMs, and human-feedback loops. The work focuses on reliably deploying probabilistic systems alongside APIs in a no-code form builder used for public-sector workflows.

About the job

Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!

Job details

New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services.

This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year

A bit about us

We’re transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We’re not just bolting AI onto the side. It’s becoming core to how our platform works.

We’re looking for a senior machine learning engineer to take the lead on this effort. You’ll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn’t an R&D team running experiments - it’s about delivering intelligent automation, right now.

Why join us?

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, Dental coverage for individuals and families

Job Details

You’ll 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. You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it’s a real opportunity to push AI into production at scale.

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

You’ve shipped a working vector search + RAG pipeline integrated into our form builder
You’ve scoped and kicked off our first LLM fine-tuning cycle
We’re collecting human feedback to improve model accuracy
You’ve helped define the roadmap for AI integrations across the platform

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

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.

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Stack

python
.net
azure ai studio
azure openai
gpt-4o
azure ai search
kubernetes
cosmosdb

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