Youre the kind of engineer who thrives at the cutting edgebuilding AI systems that dont just work but redefine whats possible. Whether its 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 thats transforming the way public affairs professionals track issues, anticipate risks, and make smarter decisions.At Delve Deep Learning (DDL), were not just building another AI productwere changing the very way public affairs professionals work and navigate the world. We need an AI/ML Engineer who can push the limits of whats possible with AI-driven knowledge work, powering insights that help professionals navigate an increasingly complex world.If youre 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 youre excited about this role but dont meet every single requirement, thats okayIf you think youd be great at this job, wed love to hear from you.What Youll DoArchitect and Optimize AI-Powered Search & RetrievalDesign 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 InfrastructureDeploy 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 InsightsBuild 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 DDLs AI StrategyWork 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 AreA 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. Youve 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 Youve 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 Youre comfortable designing scalable APIs, efficient inference pipelines, and cloud-based AI deployments.Passionate About AIs Impact Youre 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?Youll Shape Cutting-Edge AI Tools Were building a platform to change the nature of knowledge work, and youll be on the front lines of that development.Work With A Sharp And Innovative Team Were assembling a team of top-notch engineering talent.We Move Fast And Nimbly Youll 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. If youre excited about building cutting-edge AI systems for real-world impact, we want to hear from you.Apply today and help shape the future of AI-driven intelligence. recblid 21fmj61iu7ih631rvip4k28hnf3r63