AI/ML Engineer

Delve Deep Learning Inc. • Washington, DC, US • 2w ago

If you’re excited about LLMs, AI agents, retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and AI model deployment, this is your opportunity to help transform mission critical knowledge work.

Description

You’re the kind of engineer who thrives at the cutting edge—building AI systems that don’t just work but redefine what’s possible. Whether it’s optimizing large-scale vector databases, fine-tuning models for precision intelligence tasks, or designing new ways to serve AI models at scale, you love solving complex problems with elegant, high-performance solutions. Your curiosity drives you to challenge conventional thinking, and you care deeply about the user experience and strive to build products that empower users.

Now, imagine applying that expertise to a game-changing AI platform that’s transforming the way public affairs professionals track issues, anticipate risks, and make smarter decisions.

At Delve Deep Learning (DDL), we’re not just building another AI product—we’re changing the very way public affairs professionals work and navigate the world. We need an AI/ML Engineer who can push the limits of what’s possible with AI-driven knowledge work, powering insights that help professionals navigate an increasingly complex world.

If you’re excited about LLMs, AI agents, retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and AI model deployment, this is your opportunity to make a major impact.

A Quick Note: If job descriptions were checklists, most of us would never get hired. If you’re excited about this role but don’t meet every single requirement, that’s okay—If you think you’d be great at this job, we’d love to hear from you.

What You’ll Do

Architect and Optimize AI-Powered Search & Retrieval

Design and implement scalable vector search systems.
Optimize embeddings for fast, high-accuracy retrieval across diverse public affairs-related datasets.

Refine Agentic AI Systems

Design and test components of our agent-based systems.
Fine-tune models to improve AI agent performance.

Fine-Tune and Deploy Large Language Models (LLMs)

Fine-tune open-source LLMs for domain-specific tasks.
Engineer high-quality prompts and implement retrieval-augmented generation (RAG) workflows.
Evaluate and improve model efficiency, response quality, and cost-effectiveness.

Scale Model Serving and AI Infrastructure

Deploy AI models on the cloud.
Build efficient, scalable APIs for serving AI-generated insights in real-time.
Monitor model performance, retrain as needed, and ensure reliability at scale.

Develop Classic Machine Learning Models for Deeper Insights

Build and deploy supervised and unsupervised ML models to extract patterns, trends, and predictive insights from structured and unstructured data.
Develop classification models and clustering techniques to better organize and surface relevant policy information.

Collaborate to Shape DDL’s AI Strategy

Work closely with the growth and customer success team to align AI capabilities with user needs.
Lead research on new AI techniques that can improve retrieval, summarization, and insight generation.
Ensure that our AI models are transparent, explainable, and aligned with user expectations.

Who You Are

A Deep AI/ML Engineer – You have at least 6 years of experience in machine learning and engineering and you understand how generative AI fundamentally changes how we think about data analysis. You’ve spent the last two years focused on NLP, vector search, LLMs, and using platforms such as AWS and Databricks to serve LLMs.
Fluent In Python – You can write python in your sleep.
An Expert in Retrieval & Vector Databases – You’ve worked with tools such as PostgresSQL vector DB, FAISS, Pinecone, or similar to build high-performance vector search systems.
Fluent in AI Model Optimization – You understand fine-tuning, embeddings, model distillation, and prompt engineering.
A Strong Backend Engineer – You’re comfortable designing scalable APIs, efficient inference pipelines, and cloud-based AI deployments.
Passionate About AI’s Impact – You’re excited about applying AI to solve real-world policy and intelligence challenges.
Eager To Stay At The Cutting-Edge – You closely track the latest innovations in the AI field and love experimenting with the latest tools.

Bonus Points If You:

Have experience with Django or similar Python web frameworks.
Have worked with AWS, Databricks, or other cloud AI/ML stacks.
Have built AI-powered SaaS products or knowledge retrieval systems.
Have experience with agent-based reasoning or long-context LLMs.

Why Join Us?

You’ll Shape Cutting-Edge AI Tools – We’re building a platform to change the nature of knowledge work, and you’ll be on the front lines of that development.
Work With A Sharp And Innovative Team – We’re assembling a team of top-notch engineering talent.
We Move Fast And Nimbly – You’ll work in a high-velocity startup where your ideas and execution matter.
Competitive Pay & Strong Benefits – Salary range of $140,000 to $220,000 (based on experience), stock options, health insurance, 401(k) matching, and more.
Hybrid Flexibility – Work a hybrid schedule from our Washington, D.C. office with a fitness center.