Junior AI Software Engineer joining CORA Group to embed AI in business workflows. Collaborating with teams to deliver AI-powered systems for measurable improvements.
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
Nice to Have: Experience with cloud platforms (AWS, GCP, or Azure)
Personal or professional projects demonstrating AI usage or full-stack development
Prior work in enterprise SaaS, analytics, or customer-facing technical roles.
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