Junior Software Engineer, Central AI Lab

The Vesta Software Group acquires, manages, and builds software companies in a variety of vertical markets, enabling them to be clear leaders in their industries. Our companies provide mission-critical enterprise solutions for vertical industries across the entire industry value chain. The Vesta Software Group Limited is all about strengthening businesses within the markets in which we compete and enabling them to grow – whether through organic measures such as new initiatives and product development, day-to-day business, or through acquisitions.

Position: Accelerate delivery of pilots and reusable kits by building, testing, and refining AI‑enabled components (agents, RAG, integrations, evaluation harnesses, internal tooling). You will learn fast, ship real things, and build strong engineering habits in an AI‑first delivery model.

Job Responsibilities

• Build features and components for central AI starter kits: Agent and workflow components, RAG pipelines, data connectors, lightweight UI where needed.
• Evaluation harnesses and metrics dashboards (quality, latency, cost).
• Implement strong engineering hygiene: Tests, linting, code review participation, CI/CD contributions.
• Clear documentation and runbooks for what you build.
• Support BU delivery: Help adapt central patterns to BU contexts under supervision.
• Contribute to show‑and‑tell demos and case study write‑ups.
• Contribute to the AI‑DLC (AI‑Driven Development Lifecycle): Work spec‑first, keep changes small, and prove behaviour with tests and evals.

Job Qualifications

• Must‑have experience / capabilities:

• Solid coding ability in at least one of: Python, TypeScript/JavaScript, C#, Java (plus willingness to learn what's needed).
• Basic engineering workflow competence: Git, pull requests, debugging, writing tests.
• Comfort working with APIs and data (JSON, authentication basics, querying/storing data).
• Evidence of learning speed and curiosity (projects, internships, OSS, coursework, hackathons).
• Ability to communicate clearly in writing (important for spec‑first delivery and handovers).

• Any practical LLM app exposure: prompt/RAG basics, vector search concepts, tool‑using agents.
• Familiarity with Azure or AWS basics.
• Familiarity with Power Platform basics (helpful for cross‑team collaboration).

Your Personal Characteristics Will Include:

• A curious, fast‑learning junior engineer who is eager to build production‑bound features, follow strong engineering habits, and work in a spec‑first, test‑driven approach.
• You communicate clearly, collaborate well, and enjoy contributing to shared patterns, reusable kits, and meaningful pilot deliveries.
• You are adaptable, proactive, and excited to learn modern AI‑native engineering practices.

Travel: Occasional UK travel for BU workshops, onboarding, and internal events. Optional international travel (USA/Canada/South America) for portfolio events.