Overview
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.
Work Environment
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.
Responsibilities
- 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.
Qualifications & 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).
EEO & Compliance
We are committed to an inclusive recruitment process. We will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role.
Benefits & Why Capgemini
- You would be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important; Capgemini has trained Mental Health Champions and wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress with a learning-for-life mindset and opportunities from thinktanks to hackathons, including access to 250,000 courses and various external certifications.
- Capgemini is recognized as one of the World's Most Ethical Companies by Ethisphere for 13 consecutive years, reflecting our commitment to ethical business practices.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We are a diverse group with nearly 60 years of history and about 420,000 team members in more than 50 countries. We provide end-to-end services and solutions across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Learn more at Capgemini.
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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.
Work Environment
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.
Responsibilities
- 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.
Qualifications & 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).
EEO & Compliance
We are committed to an inclusive recruitment process. We will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role.
Benefits & Why Capgemini
- You would be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important; Capgemini has trained Mental Health Champions and wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress with a learning-for-life mindset and opportunities from thinktanks to hackathons, including access to 250,000 courses and various external certifications.
- Capgemini is recognized as one of the World’s Most Ethical Companies by Ethisphere for 13 consecutive years, reflecting our commitment to ethical business practices.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We are a diverse group with nearly 60 years of history and about 420,000 team members in more than 50 countries. We provide end-to-end services and solutions across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Learn more at Capgemini.
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