Senior Software Engineer (Agentic AI, Cloud-native, On-prem)

Capgemini

Województwo pomorskie

Hybrid

PLN 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Medicover private medical care
Life insurance
70+ training tracks
Hybrid working model
Home office package

Job summary

Capgemini Polska is seeking a GenAI-focused engineer to design and implement AI solutions across cloud and on-prem environments. You will connect LLMs with existing systems, build cloud-native components, and manage integrations, security, and cost considerations while driving PoCs, MVPs, and scalable production deployments.

The role offers hybrid work, collaboration with architects, product teams, and security, and opportunities to mentor others while shaping technology decisions with

Qualifications

  • Proven experience designing and implementing GenAI solutions in cloud and on-prem
  • Experience integrating AI/LLM services (Azure OpenAI/OpenAI API)
  • Hands-on development with Python/Java/TypeScript/.NET and building APIs/integrations
  • Knowledge of RAG patterns, vector search, and prompt orchestration
  • Cloud experience (Azure/AWS/GCP) and CI/CD; containers are a plus
  • Understanding of security, data protection and cost control in GenAI
  • Fluent English (B2+). Nice to have experience running workshops/mentoring

Responsibilities

  • Design and build GenAI applications (cloud/on-prem) with LLMs and cloud services
  • Implement RAG patterns, vector search and prompt orchestration
  • Integrate with client systems (APIs/events) and automate CI/CD
  • Enable AI-assisted engineering (e.g., GitHub Copilot) and lead quality reviews
  • Lead PoCs from PoC to MVP and scale to production
  • Collaborate with Architecture, Data/ML and Sec/Compliance teams
  • Document solutions and share knowledge through mentoring and playbooks

Skills

Python
Java
TypeScript
.NET
APIs & Integrations
CI/CD pipelines
Azure/AWS/GCP
Security & cost management
English proficiency

Education

Technical degree

Tools

Docker
Kubernetes
FAISS
Pinecone
LangChain
Semantic Kernel
Azure DevOps
GitHub Actions

Job description

Choosing 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 role

In this role, you will design and implement GenAI solutions in the cloud and on-premises, connecting LLMs with existing systems and cloud services. You will build cloud-native components, handle integrations (APIs/events), apply RAG patterns and model evaluation, and address security and cost considerations. You’ll lead initiatives from PoC through MVP to production scale, working closely with architects, product teams and security. You can expect real influence on technical decisions, a quality‑driven environment, and the use of tools that streamline development—where they provide measurable value.

  • Design and build GenAI applications (cloud/on-prem) using LLMs and cloud services.
  • Implement RAG patterns, vector search, and prompt orchestration.
  • Integrate with client systems (APIs, events/queues) and automate CI/CD (Azure DevOps/GitHub Actions).
  • Enable AI-assisted engineering (e.g., GitHub Copilot); run code reviews for quality, security and prompt patterns.
  • Lead workshops/PoCs and take solutions to MVP, then scale them in production.
  • Collaborate with Architecture, Data/ML and Sec/Compliance; ensure quality, performance and security.
  • Document solutions and share knowledge (mentoring, playbooks).
Your profile
  • A technical degree and a solid foundation in software engineering.
  • Experience building applications or integrating AI/LLM services (Azure OpenAI/OpenAI API or open-source models).
  • Hands‑on development in Python or Java/TypeScript/.NET, plus experience building APIs/integrations.
  • Knowledge of RAG patterns, vector search (e.g., FAISS/Pinecone) or frameworks (LangChain/Semantic Kernel).
  • Experience with cloud (Azure/AWS/GCP) and CI/CD (Azure DevOps/GitHub Actions); containers (Docker/Kubernetes) are a plus.
  • Understanding security, data protection, and cost control in GenAI.
  • Fluent in English at B2 or above;
  • Nice to have experience running workshops/mentoring is a plus.
What You'll love about working here

Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.

Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.

Enjoy hybrid working model

that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair).

Community Hub

that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI.

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations 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.

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