Senior AI Engineer

Dealstitch AI; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Dealstitch AI is seeking a forward-deployed engineer to embed with private equity and venture capital teams, owning AI agent engagements from discovery to production. You will design and ship production-grade agents that leverage tools and multi-step workflows, grounded in retrieval over client data and integrated into clients' environments.

You will set technical direction, build the hard parts, and raise the bar for how we construct systems.

Qualifications

• 7+ years of software engineering shipping production systems.
• Strong Python and TypeScript skills.
• Experience building LLM applications, including agent orchestration and tool use.
• Experience with retrieval-augmented generation and vector databases (Pinecone, Weaviate, pgvector).
• Security and enterprise deployment experience (REST/GraphQL, SSO, SAML, IAM).

Responsibilities

• Lead engagements end to end, from scoping the highest-leverage agent use cases to shipping and hardening them inside a client's production environment.
• Design and build production-grade AI agents that use tools and run multi-step agentic workflows on LLM APIs from Anthropic and OpenAI, grounded in retrieval over a client's own documents and data.
• Stand up the supporting infrastructure, including vector search, data pipelines, evaluation harnesses that measure agent quality, and observability for agents running in production.
• Integrate agents with the systems a firm already runs by wiring up APIs and enterprise authentication such as SSO, SAML, and OAuth, while meeting their security and compliance bar.
• Evaluate AI-native tools and traditional systems with deep technical rigor, and make the call on what to use.
• Set engineering standards and mentor other forward-deployed engineers.

Skills

Python

TypeScript

LLM applications

Agent orchestration

Vector databases

Security integration

Tools

Pinecone

Weaviate

pgvector

REST API

GraphQL API

OAuth / SSO

Job description

About The Role

This is a forward-deployed role. You'll embed with private equity and venture capital teams and own AI agent engagements end to end, taking AI from discovery to production systems that move the needle on real work. You'll set the technical direction on engagements, ship the hard parts yourself, and raise the bar for how we build.

What you'll do

• Lead engagements end to end, from scoping the highest-leverage agent use cases to shipping and hardening them inside a client's production environment.
• Design and build production-grade AI agents that use tools and run multi-step agentic workflows on LLM APIs from Anthropic and OpenAI, grounded in retrieval over a client's own documents and data.
• Stand up the supporting infrastructure, including vector search, data pipelines, evaluation harnesses that measure agent quality, and observability for agents running in production.
• Integrate agents with the systems a firm already runs by wiring up APIs and enterprise authentication such as SSO, SAML, and OAuth, while meeting their security and compliance bar.
• Evaluate AI-native tools and traditional systems with deep technical rigor, and make the call on what to use.
• Set engineering standards and mentor other forward-deployed engineers.

What we're looking for

• 7+ years of software engineering experience shipping production systems, with strong Python and TypeScript.
• Hands-on experience building LLM applications, including agent orchestration and tool use, retrieval-augmented generation, vector databases such as Pinecone, Weaviate, or pgvector, prompt engineering, and evals.
• A track record of taking AI systems into messy, real-world environments and making them work, including the integration and security work that enterprise deployments demand, from REST and GraphQL APIs to SSO, SAML, and IAM.
• Comfort leading in ambiguous, client-facing environments and owning outcomes end to end.
• Bonus: prior exposure to private markets, financial services, or enterprise data.

Why Dealstitch

We\'re a senior team with 40+ years of combined private-market technology experience. You\'ll work on problems that matter, with direct access to decision-makers, and see the impact of your work in weeks, not quarters.