Capitol builds intelligence infrastructure for companies overwhelmed by data but starved for clarity. Today, 80% of enterprise AI projects fail because outputs aren’t accurate, attributable, or usable. Capitol AI works with companies in high-stakes industries to turn information into intelligence that drives decisions with model-agnostic, purpose-built infrastructure.

Capitol is building a different future - one where institutions, creators, and analysts stay in control of their knowledge, their IP, and their value. We deliver a model-agnostic platform that turns complexity into decision-grade insight. We don’t believe the future should be dictated by a handful of closed models. We enforce attribution, minimize hallucinations, and preserve temporal accuracy - giving companies trusted answers they can act on.

Our Vision

Agentic AI for every enterprise - model agnostic, embedded, governed, and decision-grade - built to power action and impact at scale.

Summary 

We're seeking a Forward Deployed Engineer to be the bridge between our core engineering teams and our enterprise customers. You’ll design, implement, and deploy AI-powered solutions in complex, real-world environments—working directly with customers to tailor our technology to their most pressing challenges.

This is a hands-on, high-impact role for an engineer who enjoys solving open-ended problems, working autonomously, and seeing their work deliver immediate value to clients.

Responsibilities:

• Partner with enterprise customers to understand business goals, data landscapes, and technical constraints.
• Design and deploy agentic AI applications—integrating our core platform into customer systems and workflows.
• Collaborate with product and engineering teams to inform roadmap priorities based on customer insights.
• Build connectors, pipelines, and custom interfaces that help enterprise data flow securely and efficiently into our platform.
• Prototype and deliver new use cases using large language models, retrieval-augmented generation, and multi-agent orchestration.
• Act as a trusted technical advisor—supporting pilots, integrations, and scaled deployments.
• Help shape implementation best practices, documentation, and reusable frameworks to accelerate future customer success.

Qualifications

• 3–7 years of experience in software engineering, data engineering, or applied ML, ideally in a customer-facing or consulting capacity.
• Proficient in Python, TypeScript, or similar languages; experience working with APIs, cloud infrastructure, and data processing.
• Comfortable working directly with enterprise customers, including C-suite and technical stakeholders.
• Strong problem solver who thrives in ambiguous, fast-moving startup environments.
• Experience with AI technologies (LLMs, RAG, embeddings, vector databases) is a major plus.
• Bonus: prior experience at an AI, data, or B2B SaaS company, or as a solutions engineer or implementation specialist.

Preferred Qualifications 

• Familiarity with multimodal content generation and document processing.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
• Experience with API design and integration for AI services.

What We Offer

• Opportunity to shape the future of AI-driven content creation
• Work with data from leading organizations
• Meaningful Equity participation
• Remote work arrangement

About Us

Capitol AI is agentic AI that partners with owners of large proprietary data sets (such as Politico Pro) to enable deeper insights from unstructured data and unlock new revenue opportunities with their clients in a highly efficient and impactful way.

Capitol has an in-house LLM orchestration layer with a generation pipeline that includes our own implementation of function calling, RAG, and chain of thought reasoning. We also have our own fine-tuning pipeline for function-specific small models. Our backend is python, our cloud is managed in terraform, our application CRUD is Clojure (LISP fans welcome) and our frontend is React.