Agentic AI Developer

Capgemini; Göteborgs kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Capgemini is seeking an Agentic AI Developer to co-create intelligent AI solutions with a diverse client team. You will design, develop, and deploy end-to-end agentic AI systems using LLMs, vector databases, MCPs, tool integrations, and modern web technologies, close to users and stakeholders.

The role combines AI engineering, software development and system integration, with emphasis on experimentation, rapid prototyping, and responsible AI practices across cloud platforms (AWS, Azure, GCP) and

Qualifications

• Experience with Python, SQL, JavaScript or TypeScript in production systems.
• Experience with GenAI frameworks such as LangGraph, Anthropic Agent SDK or OpenAI Agents SDK.
• Strong understanding of LLM orchestration, tool calling, RAG, MCP, prompt engineering and evaluation.

Responsibilities

• Design and implement agentic workflows and multi-agent orchestration.
• Develop backend services and RESTful APIs for agent orchestration and UIs.
• Deploy and monitor GenAI apps on cloud platforms with CI/CD and IaC.

Skills

Python

SQL

JavaScript

TypeScript

Education

Bachelor's degree in Engineering, Computer Science, IT, or related field

Tools

LangGraph

Anthropic Agent SDK

OpenAI Agent SDK

Job description

PermanentExperienced ProfessionalsData & AIID 563090-en_USChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Your roleAs an Agentic AI Developer you will co-create and deliver intelligent AI solutions together with a collaborative and diverse team which are embedded with our clients, designing, developing, and deploying end-to-end agentic AI systems that are intelligent, autonomous solutions.This role combines AI engineering, software development, and system integration expertise to build scalable, production-ready solutions leveraging LLMs, vector databases, orchestration frameworks, model context protocols (MCP), tool use, evaluation frameworks, and modern web technologies.You will work close to the client, shaping use cases with the people who will use them, and iterating on working software rather than waiting for a specification. You will collaborate in cross-functional teams with data scientists, developers, and product specialists, where knowledge-sharing and support are part of everyday work.In this role you will play a key role in:GenAI & Agent Engineering: architect and implement agentic workflows and multi-agent orchestration using GenAI models (e.g., Claude, GPT, Gemini, Kimi): agent roles, memory systems, tool integrations, MCP-based integrations, and inter-agent communication protocols.Work with orchestration platforms such as LangGraph, Agent SDK, or Google ADK and cloud AI platforms (AWS Bedrock, Vertex AI, Azure AI Foundry, Agent Builder), optimizing agent workflows for reasoning, planning, tool use, reliability, and cost efficiency.Prompt & Context Engineering: design and iterate high-quality prompts for agentic tasks, with prompt templates, context management strategies, and RAG pipelines using vector databases (e.g., Qdrant, Pinecone, Weaviate). Improve accuracy, latency, safety, and cost through prompt optimization, retrieval quality assessment, grounding validation, and automated evaluation frameworks.Backend Development: build and maintain backend services and RESTful APIs supporting agent orchestration and user interfaces. Develop microservices using Python (FastAPI, Flask) or Node.js with the scalability and security to integrate with cloud-native services such as BigQuery, Pub/Sub, Firestore, messaging queues, and enterprise data platforms.Cloud & DevOps: deploy and monitor GenAI applications on AWS, Azure, or GCP using CI/CD pipelines, infrastructure-as-code (Terraform), and containerization (Docker, Kubernetes). Implement logging, tracing, observability, evaluation pipelines, and performance monitoring for agent-based systems.Client Delivery: run discovery and feasibility assessments that turn client ambitions into scoped use cases. Build prototypes fast, put them in front of real users, and navigate the realities of enterprise delivery like data access, legacy integration, security reviews. Document what you build and enable client teams to run it.Your profileExperience with Python, SQL, JavaScript, TypeScript, or similar programming languages.Experience with GenAI frameworks such as LangGraph, Anthropic Agent SDK, OpenAI Agents SDK, or similar.Strong understanding of LLM orchestration, tool calling, RAG, MCP, prompt engineering, evaluation methodologies, and agentic workflows.Experience with backend development (FastAPI, Flask, Node.js), cloud deployment, and cloud AI platforms (AWS Bedrock, Vertex AI, Azure AI Foundry).Experience with AI observability, evaluation frameworks, prompt/version management, and production AI operations.Comfortable engaging senior stakeholders and working in ambiguous environments where requirements are not yet fully defined.Degree in Engineering, Computer Science, IT, or a related quantitative field.Fluent in English.If you also have experience with AI observability, evaluation, governance, safety, compliance and speaks Swedish fluent it's a strong plus.What we believe you will enjoy about working hereThe opportunity to shape your own development, whether you want to deepen your expertise in Data & AI or explore new roles and areas of responsibility.A culture where learning is part of everyday work – through certifications, communities, knowledge hubs, and colleagues who are always willing to share their knowledge.Flexibility in how and where you work, with opportunities for hybrid working when assignments allow.ApplicationAs part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required. We welcome applicants with different backgrounds and experiences. If you're excited about this role but don’t meet every requirement, we encourage you to apply anyway.We believe diverse perspectives make better products and stronger teams. We actively strive to create an inclusive environment where everyone feels valued and empowered to contribute. We welcome applicants of all genders, backgrounds, and experiences.About CapgeminiCapgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.Make it real | www.capgemini.com