AI Engineer | Venture Capital | Investment & Investor Success Operations, BIP Ventures, GA, US

ABOUT BIP CAPITAL

BIP Capital is an integrated private market investment platform built to create and capture opportunities through BIP Ventures traditional venture anchor funds, an Evergreen equity BDC, and private credit offerings. With a distinctive multi-stage, multi-sector investment approach and a growing array of capital offerings, BIP Capital has generated consistent top quartile returns since 2009.

ABOUT BIP VENTURES

BIP Ventures, the North American-focused venture capital division of BIP Capital, is a highly active venture capital firm based in the Southeast. BIP Ventures partners with extraordinary founders to drive exceptional outcomes. Since 2007, BIP Ventures has invested in the success of B2B software and tech-enabled service businesses at all stages of maturity. In addition to capital, it supports entrepreneurs with access to infrastructure, acumen, and talent, resulting in category-leading companies.

OUR PHILOSOPHY

We are champions of our investors’ goals and stewards of founders’ dreams, but more than that, we are ethical, honest partners who serve, educate, and protect our founders and investors. We take on the challenges and complex conversations because we operate out of integrity and genuine care.

ABOUT THE ROLE

We are seeking an AI Engineer to join our technology team and help design, build, and deploy AI systems that transform how venture capital operates. This role will focus on creating intelligent agents that drive efficiency, enhance decision-making, and unlock value across deal sourcing, diligence, portfolio support, and internal productivity.

Reporting to the CTO, the AI Engineer at BIP will play a key role in architecting, training, and scaling AI models. You will work closely with investment professionals and business stakeholders to design and deliver impactful solutions. The role calls for deep technical expertise in machine learning, natural language processing, and agent-based systems, combined with the curiosity and initiative to apply AI in innovative, business-transforming ways.

This is a high-impact opportunity for a hands-on engineer who thrives at the intersection of venture investing, data, and AI innovation.

Office Environment: Hybrid, in-office 1x per week.

KEY RESPONSIBILITIES

• AI Agent Development & Maintenance
• Build agents to support Investment operations and Investor Success operations.
• Knowledge Base Integration 
• Connect agents to internal and external knowledge bases, including proprietary datasets, CRM systems, and investor platforms. 
• Architect pipelines for real-time data ingestion and inference. 
• MCP Interfacing & Requirements Definition 
• Collaborate with product and development teams to define detailed input/output requirements for agent integration with MCP (Managed Client Platform). 
• Translate business needs into technical specifications. 
• Model Development and Optimization 
• Train, fine-tune, and deploy machine learning models to enhance agent intelligence and web-based features. 
• Optimize models for efficiency, scalability, and low-latency performance in production environments. 
• Stakeholder Collaboration & Enhancement Strategy 
• Work closely with business stakeholders and product teams to refine agent capabilities and analyze performance outcomes. 
• Drive continuous improvement through feedback loops and usage analytics. 
• AI Enablement & Training 
• Train internal teams on effective AI usage in daily workflows, including prompt engineering, agent orchestration, and automation best practices. 
• Develop documentation and conduct workshops to promote adoption. 
• Portfolio Company Support 
• Evaluate and support AI initiatives across portfolio companies, identifying opportunities for agent deployment and operational efficiency. 
• Provide technical consulting and integration guidance.