Company Description
Devoteam is an AI-driven tech consulting firm specialising in cloud platforms, cybersecurity, data, and sustainability.
At Devoteam, we believe that technology combined with strong human values can drive change for the better. As a leading digital transformation consulting firm, we support organizations in creating measurable business value using cloud, data, artificial intelligence, cyber security, and modern ways of working.
With more than 11,000 technology and business experts across over 25 countries in EMEA, we connect local expertise with global scale. Our partnerships with leading technology providers such as Google Cloud, AWS, Microsoft, and ServiceNow enable us to develop innovative and scalable solutions for our clients.
As a Google Cloud Diamond Partner, our Google Cloud team supports companies in designing and implementing modern cloud, data, and AI solutions. We don't just guide our clients strategically; we work alongside them to build production-ready applications for concrete business challenges.
Job Description
As a Forward Deployed Engineer – GenAI , you will work directly with our clients to design, build, and deploy sophisticated GenAI solutions.
You will bridge the gap between client-side engineering needs, AI architecture, and technical consulting. Working side by side with our clients' engineering teams, you will turn initial ideas and prototypes into robust, secure, and scalable applications for productive use.
Unlike in a purely advisory role, you won't stop at concepts and presentations: You will develop, integrate, test, and optimize solutions directly with the client. You will focus heavily on agentic applications, multi-agent systems, RAG architectures, and the integration of Large Language Models into existing enterprise landscapes.
Your Responsibilities
- Develop complex GenAI applications from early concept to production deployment.
- Design and implement agentic workflows and multi-agent systems.
- Build production-ready applications using Python and modern AI frameworks.
- Connect GenAI solutions to existing APIs, data platforms, enterprise applications, and legacy systems.
- Design RAG architectures and data pipelines for structured and unstructured data.
- Integrate foundation models and Large Language Models into secure enterprise architectures.
- Develop evaluation, monitoring, and observability solutions for GenAI applications.
- Ensure developed systems meet strict requirements for quality, security, data privacy, scalability, and latency.
- Conduct technical discovery sessions and engineering workshops with clients.
- Analyze functional and technical requirements and translate them into actionable solution architectures.
- Co-develop alongside client engineering teams and support them in adopting modern software engineering and AI engineering practices.
- Identify recurring technical patterns to build reusable components, accelerators, and internal frameworks.
- Collaborate closely with our AI/ML Consultants, Cloud Architects, Data Engineers, and Software Engineers.
- Support selected pre-sales activities, technical demonstrations, and Proofs of Concept.
Qualifications
What we expect from you:
- A degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
- Multi-year experience in software engineering, AI engineering, machine learning engineering, or a similar technical role.
- Strong programming skills in Python or a comparable language.
- Practical experience in building production-ready AI or GenAI applications.
- Experience in architecting distributed or cloud-based AI systems.
- Experience with LLMs, prompt engineering, and foundation model integration.
- Hands-on experience with RAG architectures, embeddings, and vector databases.
- Experience with multi-agent systems or agentic workflows.
- Experience with frameworks such as LangGraph, Google Agent Development Kit, LangChain, CrewAI, or similar technologies.
- Experience with APIs, containerized applications, and modern software engineering practices.
- Solid understanding of CI/CD, testing, deployment, and monitoring for AI applications.
- Ability to clearly communicate complex technical concepts to both technical and business stakeholders.
- Enthusiasm for direct collaboration with clients and their engineering teams.
- Fluency in English.
Google Cloud Experience is Helpful, but Not Required. You don't need to know Google Cloud inside out from day one. What matters more to us is solid experience in building modern AI systems, strong software engineering skills, and the drive to quickly get up to speed on Google Cloud, Vertex AI, and Gemini.
Nice to Have
- Experience with Google Cloud, Vertex AI, Gemini, or comparable cloud AI platforms.
- Experience with Model Context Protocol servers and tool integrations.
- Knowledge of agent patterns such as ReAct, Reflection, Planning, or hierarchical delegation.
- Experience with evaluation frameworks for LLMs and agentic systems.
- Understanding of LLM-specific metrics such as latency, tokens per second, cost per query, and success rates.
- Experience with LLMOps or MLOps.
- Knowledge of IAM, network security, data privacy, and governance for enterprise AI applications.
- Experience in a consulting, professional services, or client-facing engineering environment.
- Experience moving Proofs of Concept into production-ready solutions.
- Relevant certifications in Google Cloud, AWS, or Microsoft Azure.
Additional Information
Why to join us:
- Work on innovative and impactful Cloud, Data & AI projects for leading clients across industries.
- Join a fast-growing, entrepreneurial environment with strong Google Cloud expertise.
- Be part of a collaborative and international team of cloud, data and AI specialists.
- Take ownership and play a key role in shaping customer engagements and growing our Data & AI capabilities.
- Benefit from continuous learning, certification support and professional development opportunities.
- Enjoy a culture built on respect, ambition, entrepreneurship, collaboration and frankness.
- Receive a competitive compensation package and grow in a supportive environment that empowers you to succeed.
Benefits and perks:
- 5 weeks of vacation per year (= 1 week extra).
- 4 “My Days” per year.
- Hybrid office.
- Flexible working hours.
- Udemy for business account.
- Meal allowance up to 32.000 CZK/year (129,50 CZK/day).
- Cafeteria 1200 CZK/month (MultiSport Card available).
- Phone tariff (unlimited calls, texts messages within the EU, 20GB of Internet).
- Employee Referral Program.
- Sabbatical leave.
- Repurchase of hardware.
Moreover, we offer:
- Above standard working equipment.
- Snacks and breakfasts in the office.
- Company events and team buildings.
- Gifts for work anniversaries, promotion or childbirth.
- Friendly and open culture.
And last but not least, you can rely on:
- Transparent framework for career growth, reinforced by annual performance evaluations
- Trust and autonomy, with no micro-management
- Learning from senior colleagues and opportunities to collaborate with professionals from various industries
United Kingdom