AI Engineer, Venture Capital Operations

BIP Ventures

full-time

Posted on: 9/28/2025

Location Type: Hybrid

Location: Atlanta • 🇺🇸 United States

✨ AI Apply

Mid-LevelSenior

AWSAzureJenkinsNode.jsPythonPyTorchTensorflow

About the role

Report to the CTO and join the technology team to design, build, and deploy AI systems transforming venture capital operations.
Build and maintain AI agents supporting 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 input/output requirements for agent integration with MCP (Managed Client Platform).
Train, fine-tune, and deploy machine learning models; optimize models for efficiency, scalability, and low-latency production performance.
Work with business stakeholders and product teams to refine agent capabilities, analyze performance outcomes, and drive continuous improvement.
Train internal teams on AI usage (prompt engineering, agent orchestration, automation) and develop documentation and workshops.
Evaluate and support AI initiatives across portfolio companies, providing technical consulting and integration guidance.
Hybrid office environment: in-office 1x per week.

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.
Preferred tools: AWS (Lambda, S3, ECS, Bedrock), Azure, CI/CD tools (GitHub Actions, Jenkins), monitoring tools.

Benefits

Impact: Build AI systems and autonomous workflows that directly influence investment decisions, portfolio growth, and firm efficiency.
Innovation: Be on the leading edge of applying AI/LLMs to venture capital workflows.
Collaboration: Work with a lean, entrepreneurial team of investors, technologists, and operators.
Growth: Opportunity to expand into senior AI/ML roles as the firm scales its technology platform.
Comprehensive benefits package including competitive salaries, health and wellness plans, retirement savings options, paid time off, professional development opportunities, and various employee well-being programs.

Tip: use these terms in your resume and cover letter to boost ATS matches.

AI systemsmachine learningagent-based architecturesNodeJSPythonTensorFlowPyTorchRESTful API designNLPknowledge graph integration

strong communication skillscross-functional collaborationcontinuous improvementtraining and documentation development