AI Engineer - Prompt and Context Engineering

About the AI Engineer Role

We are hiring an AI Engineer to design and operationalize LLM-driven comparison workflows that produce decision-ready comparison reports across Salesforce orgs and codebases. The role focuses on prompt engineering, context engineering, and agentic orchestration to generate structured outputs (including AST or AST-like representations for code). You will blend deterministic Graph DB reports with non-deterministic LLM insights, and enable human-in-the-loop validation. Salesforce metadata familiarity is a plus; Python is beneficial for automation and tooling.

Hybrid Working

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role

• Design, iterate, and maintain prompt + context strategies to generate consistent, structured comparison outputs (JSON schemas, diff formats, summaries).
• Build and run agent workflows to orchestrate multi-step comparison tasks (planning, tool calls, retries, fallbacks, state management).
• Produce code-aware comparisons using AST or similar structural representations (e.g., class/method-level diffs, dependency summaries, refactor suggestions).
• Integrate deterministic Graph DB findings (commonality/variation, dependency paths, lineage) into LLM context to improve reliability and traceability.
• Implement output guardrails: schema validation, format constraints, confidence scoring, and consistency checks across runs.
• Support MCP-based integrations where required to connect tools, enforce controlled context, and standardize tool interfaces for agents.
• Partner with Salesforce engineers/architects to validate findings, refine templates, and ensure outputs are reviewable and audit-friendly.

Your Skills

• Strong prompt engineering and context engineering (structured prompting, tool/function calling, grounding strategies, hallucination mitigation).
• Hands-on experience building LLM agents and orchestration (multi-step workflows, state/memory, tool routing, error handling).
• Ability to generate structured code analysis outputs (AST/parse-tree approaches, semantic diffs, dependency extraction, refactoring insights).
• Experience combining deterministic outputs (Graph DB queries, rule checks) with non-deterministic LLM reasoning in a controlled pipeline.
• Python is a strong plus (automation scripts, parsers, report generators, lightweight services).
• Salesforce metadata understanding is a plus (objects/fields, flows, profiles/permsets, dependency concepts, cross-org comparison needs).
• Proven experience with Claude for structured outputs and agentic workflows (prompt patterns, tool-use/function calling, long-context strategies).
• Familiarity with Claude-friendly prompt hygiene: explicit schemas, deterministic formatting, step constraints, and robust self-check prompts.
• Experience using Claude in MCP-based tool ecosystems (defining tools, controlling context sources, safe orchestration patterns).

Disability Confident Employer

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process.

Make It Real (What it means for you)

• You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
• You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
• You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why You Should Consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Key Skills/Competency

• AI Engineer
• Prompt Engineering
• Context Engineering
• LLM
• Agentic Orchestration
• Graph DB
• Python
• Salesforce
• Code Analysis
• Structured Outputs