About this opportunity
DeepRec.ai lists this Generative AI Engineer opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Approximately $180,000 base + performance-based bonus (~$250,000 target total cash comp)
About the Firm
Our client is a leading private equity firm with a strong track record of building and scaling high-quality businesses. The firm combines investment expertise with hands-on operational experience, and is now looking at how AI can transform the way its own teams operate and create value across the business.
The Opportunity
We're looking for a highly hands-on AI Engineer to take ownership of building and deploying internal AI capability. This is not a strategy, advisory, or people-management role - it's a builder role.
You’ll work directly with senior leadership and employees across the firm to understand how work is currently performed, identify opportunities for automation, and build AI agents and applications that remove repetitive work. An example: understanding how an investment associate monitors portfolio companies, then building an AI-powered system to automate the research, data collection, analysis and reporting involved.
Initially your focus will be the firm's management company and a small, close-knit team. Longer term, there's significant potential to expand AI capabilities across the firm's portfolio companies - for someone who delivers, there's no predefined ceiling on this role.
What You'll Do
Work directly with senior leadership on bottlenecks and repetitive processes
Translate business problems into clearly defined technical solutions
Design, build and deploy production-grade AI agents and applications
Build agentic workflows involving reasoning, retrieval, data processing and interaction with internal systems
Integrate LLMs with existing applications, documents, databases and third-party platforms
Build retrieval/knowledge systems (RAG) for internal company information
Implement evaluation, monitoring and observability for AI systems in production
Design human-in-the-loop processes where full automation isn't appropriate
Establish controls around data access, permissions and sensitive information
Measure impact - time saved, adoption, productivity gains
What We're Looking For
Strong software engineering skills, ideally with significant Python experience
Experience building production applications using LLMs (OpenAI, Anthropic, or similar)
Experience building AI agents and multi-step agentic workflows
RAG, embeddings, semantic search, vector databases
Cloud infrastructure (AWS/Azure/GCP) and containerization (Docker)
A builder mentality: you'd rather ship a working prototype than write a deck about what could be built
Comfort operating with significant autonomy and ambiguity
Strong communication - able to explain technical concepts to non-technical senior stakeholders
Experience with LangGraph, LangChain, LlamaIndex or similar is useful, but we care more about your ability to design robust systems than any specific framework.
Why This Role
This is a rare opportunity to build an AI function from the ground up, with direct access to senior leadership and no legacy platform to inherit. The initial mandate is focused - deliver measurable value for the management company - but the trajectory is open-ended, with real potential to extend into the firm's wider portfolio!
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.