Senior AI/ML Engineer

Jobot; McLean (VA); Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

100% remote US

Health coverage for individuals and/or

Greenfield development on a profitable

Impactful AI projects

Job summary

Jobot is seeking a Senior Machine Learning Engineer to lead our new US-based .NET team, delivering enterprise AI capabilities in production. You’ll own vector search, RAG workflows, and structured JSON fine-tuning across a government-form automation platform.

You will shape the AI transformation, architecting scalable ML infrastructure, and collaborating with product and platform teams to ship real-world impact from day one. This is a remote role with US coverage.

Qualifications

• 5+ years in applied ML, with experience in retrieval, embeddings, and prompt engineering.
• Strong Python skills and production-grade ML pipelines experience.
• Experience designing and tuning RAG workflows with hybrid search.
• Familiarity with RLHF and fine-tuning for structured JSON output.
• Solid system-level thinking to bring ML into product environments.

Responsibilities

• Build and tune vector-based retrieval pipelines using embeddings and search services.
• Design prompts and agents to translate parsed data into form component schemas.
• Fine-tune LLMs for structured output with low latency.
• Lead RLHF loop development with builder UI feedback and audit data.
• Architect systems blending traditional APIs with probabilistic inference for production use.
• Collaborate with full-stack and platform engineers to deploy in production.
• Stay current with model capabilities and guide adoption decisions.

Skills

Applied ML

Retrieval systems

Prompt engineering

Python

ML pipelines

RAG workflows

RLHF

System thinking

Tools

Azure OpenAI

OpenAI embeddings

Azure AI Search

CosmosDB

MSSQL

Kubernetes

.NET 8

Azure Blob

Octopus CD

Extend.ai

Job description

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

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

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.