Junior AI Software Engineer developing AI solutions and integrating AI capabilities across portfolio businesses. Collaborating with business teams to enhance product features and operational efficiency.
Responsibilities
Evaluate AI opportunities and technical feasibility across diverse product stacks and business units
Embed with business teams to map workflows, identify pain points, and prototype AI-powered solutions
Build and iterate on features using LLMs, embeddings, APIs, RAG architectures, and agentic workflows
Own delivery from prototype through production deployment and user adoption
Assist with prompt engineering, retrieval pipeline design, and iterative refinement of AI systems
Integrate AI capabilities with CRMs, ERPs, and legacy systems via APIs, webhooks, or custom connectors
Build internal tooling to accelerate AI-assisted development and adoption across portfolio companies
Support evaluations to track quality, performance, latency, and cost of AI systems
Requirements
0–5 years of software engineering or development experience (internships and meaningful personal projects count)
Bachelor's degree in Computer Science, Software Engineering, or a related field
Strong programming skills in Python, TypeScript, Java, .NET, or similar languages
Familiarity with APIs, databases, web technologies, and SDLC fundamentals
Full-stack mindset with eagerness to work across frontend, backend, and integrations
Comfortable using or learning AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude)
Strong communication skills and comfort working with both technical teams and business stakeholders
High ownership, bias to action, and ability to thrive in ambiguous, fast-moving environments.
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