Artificial Intelligence Engineer

Delmar Nord; Boston (MA); On-site; USD 130,000 - 190,000; Full time

Job summary

Delmar Nord is partnering with a leading private equity firm to hire an AI Engineer for the investment team in Boston. You will sit at the center of AI transformation, building tools for deal sourcing, diligence, and portfolio analytics, and work directly with senior investors.

You'll own end-to-end projects, explore new AI capabilities, and bridge the gap between investors and the data science group. A strong hands-on background and ability to deliver concrete results are essential.

Qualifications

• Bachelor's degree in CS, data science, engineering or similar (advanced degree helpful).
• Experience with analytical or technical work; consulting background is a plus.
• Comfortable writing Python and working with APIs; hands-on building mindset.
• Curious by nature and able to separate real value from hype in AI.
• Can turn vague asks into concrete, actionable deliverables without extensive direction.
• Strong communication with non-technical stakeholders, including investors.

Responsibilities

• Build and ship AI tools across the investment process: sourcing, diligence, portfolio analytics.
• Experiment with AI capabilities (LLMs, agents, automation) and assess usefulness.
• Collaborate with deal teams to turn rough ideas into day-to-day usable tools.
• Share learnings with AI engineers across the business and avoid reinventing wheels.
• Lead pilots with external AI vendors and drive rollout if beneficial.
• Own data pipelines and integrations to keep systems running smoothly.

Skills

Analytical thinking

Stakeholder communication

Fast learner

Problem solving

Education

Bachelor's degree in CS/data science/engineering

Tools

Python

APIs

LLMs

Job description

We are currently partnered with a leading private equity firm looking to bring on an AI Engineer to join their investment team. You will sit at the center of one of the most active AI transformation efforts in private equity today, working directly with deal teams across sourcing, diligence, and portfolio analytics. This is a high-impact, build-focused role. You will bridge senior investors and the firm's broader AI and data science group, owning projects end to end- from a loose idea through to a tool the team actually relies on.

What You'll Do:

• Build and ship AI tools across the investment process - sourcing, market mapping, diligence support, portfolio analytics
• Try out new AI capabilities (LLMs, agents, automation, data enrichment) and be honest about what's actually useful versus what just sounds good in a demo
• Work directly with investors to turn a rough idea into something they'll actually use day to day
• Share what you learn with AI engineers working on other parts of the business, and help build tools that don't have to be reinvented each time
• Run pilots with outside AI vendors, figure out if they're worth it, and lead the rollout if so
• Own the data pipelines and integrations that keep everything running
• Help the broader team get comfortable with new tools - training, troubleshooting, nudging adoption where it's slow

What We're Looking For:

• Bachelor's degree in CS, data science, engineering, or something similarly quantitative (advanced degree helpful, not required)
• Experience working with serious analytical or technical work; consulting background (MBB or similar) is a plus
• Comfortable writing Python and working with APIs- this is a hands-on building role, not a strategy role
• Curious by nature, and quick to figure out what's real versus hype in the AI space
• Can take a vague ask and turn it into something concrete without needing a lot of direction
• Communicates well with non-technical stakeholders - you'll be in the room with investors, not just engineers
• Gets things done without overengineering it

Nice to have:

• Some exposure to LLMs, prompt engineering, vector databases, or agentic workflows
• Experience with tools like Claude Code, Codex, or Gemini CLI
• Comfortable in AI-native IDEs like Cursor or Windsurf
• Background in finance or investing, though this isn't a dealbreaker if the technical fit is strong

Why This Role:

• You'd be joining right as this AI program is taking shape at a top-tier PE firm- early enough to actually influence how it's built
• Direct access to senior investors from the start, with real support to experiment and try things that might not work
• A genuinely steep learning curve, with exposure to problems and technology most engineers don't get near
• Mentorship from experienced investors and AI practitioners
• Competitive base salary plus discretionary bonus, and a strong benefits package

Keywords: AI Engineer, Private Equity, LLM, Agentic AI, Prompt Engineering, Python, Machine Learning, Generative AI, Vector Databases, Workflow Automation, Due Diligence, Deal Sourcing, Portfolio Analytics, Claude Code, Cursor, Data Pipelines, API Integration, Investment Technology, FinTech