AI Product Engineer – Agent & Integrations

🔥 0 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ensemble IP

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚖️ Legal

Artificial Intelligence • Legal • Technology

Ensemble IP is a leading patent search and analytics service company specializing in providing comprehensive patent searches and technology studies. The company combines human expertise with advanced AI tools to deliver the most reliable results for patent attorneys, litigators, and R&D managers. Ensemble IP offers a wide range of services, including patentability/novelty searches, validity/invalidity assessments, freedom to operate searches, and competitive benchmarking studies. With a focus on key sectors such as artificial intelligence, biotechnology, clean energy, and computer software, Ensemble IP is committed to delivering high-quality and insightful analyses to support legal and business decision-making processes.

📋 Description

• Extend Duet's agent harness by integrating new data sources • Build MCP access to Duet functionality • Author curated prompts and skills • Design and implement the approach to expose Duet's capabilities via MCP • Add data sources by writing thin TypeScript connectors and wiring them into the agent as composable tools • Understand data sources and determine efficient ways to incorporate them into Duet • Author and iterate on system prompts, tool designs, skill definitions, and the architecture linking these resources • Extend and improve the production agent loop, including context management, streaming, Redis locks, billing, and user presentation • Translate user needs into staged delivery plans and deliver thin vertical slices incrementally • Collaborate with team members, exchange ideas, challenge approaches, and continuously improve

🎯 Requirements

• 3+ years professional software engineering experience • Strong TypeScript/Node backend skills • 12+ months building LLM agents, with an emphasis on integrating and orchestrating complex tools and data sources • Track record of delivering outcomes efficiently • Incremental delivery discipline; ability to decompose work so each PR adds user value or represents a deliberate milestone • Demonstrated prompt engineering as product work, including structured prompts, iteration from failure modes, and version control • Experience integrating third-party APIs into an agent framework • Excellent written and verbal communication with a focus on teamwork and collaboration

🏖️ Benefits

• No benefits, perks, or compensation extras are specified in the posting.