BIP Ventures-posted 3 months ago
Full-time • Mid Level
Atlanta, GA

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.

  • Build agents to support Investment operations and Investor Success operations.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Evaluate and support AI initiatives across portfolio companies, identifying opportunities for agent deployment and operational efficiency.
  • Provide technical consulting and integration guidance.
  • Bachelor’s or Master’s in Computer Science, AI/ML, Engineering, or a related field.
  • 3+ years of experience in AI/ML engineering, with a focus on agent-based architectures, autonomous AI systems and API integrations.
  • Proficiency in NodeJS / Python, TensorFlow, PyTorch, and RESTful API design.
  • Experience with LLMs, NLP, and knowledge graph integration.
  • Documented Experience with Microsoft and AWS AI Tools.
  • Demonstrated ability to analyze datasets, extract insights, and operationalize findings into automated solutions.
  • Awareness of regulatory compliance (GDPR, SEC and FINRA).
  • Familiarity with venture capital, private equity, and/or financial services is a strong plus.
  • Strong communication skills and ability to work cross-functionally.
  • AWS (Lambda, S3, ECS, Bedrock)
  • Azure
  • CI/CD tools (GitHub Actions, Jenkins)
  • Monitoring tools
  • Competitive salaries
  • Health and wellness plans
  • Retirement savings options
  • Paid time off
  • Professional development opportunities
  • Various employee well-being programs
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