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.
🚀 Y Combinator Company Info
Y Combinator Batch: S24
Team Size: 11 employees
Industry: B2B Software and Services -> Productivity
Company Description: Model-agnostic AI for enterprises: governed, embedded, decision-grade.
💰 Compensation
Salary Range: $150,000 - $200,000
📋 Job Details
Job Type: Full-time
Experience Level: 3+ years
Engineering Type: Frontend
🛠️ Required Skills
ML Microsoft Azure Amazon Web Services (AWS)