Senior GenAI Engineer

The Work

As a Senior GenAI Engineer, you will take ownership of designing and delivering production-grade GenAI and agentic AI systems for enterprise clients. The role combines mature software engineering skills with hands-on LLM experience.

Responsibilities

• Architect and build autonomous multi-agent systems that reason, plan, and execute complex business workflows end-to-end, selecting and orchestrating commercial and open-source models for each use case.
• Design the data backbone behind agentic solutions, including embedding pipelines, vector databases, hybrid search, and RAG systems that provide agents with enterprise knowledge at scale.
• Build secure integrations connecting autonomous agents to corporate databases, APIs, and enterprise systems.
• Own the full production lifecycle, deploying agentic AI to AWS, Azure, or GCP with enterprise-grade observability, monitoring, security, and Responsible AI guardrails.
• Lead technical delivery alongside consultants and cross-functional teams on high-impact client projects.

Interview Note

During the technical interview, you will co-build or debug a segment of an agentic solution using your preferred development setup, including the AI-assisted tools you use day to day.

What’s in It for You?

• Work on ambitious GenAI projects, building production-grade agentic AI systems for Fortune 500 organizations across multiple sectors.
• Collaborate with experienced AI and Data practitioners working on enterprise adoption of agentic AI.
• Take ownership from architecture decisions through production delivery on autonomous AI projects.

Here’s What You’ll Need

• Minimum 6 years of commercial experience in Software Engineering or Data Engineering, including at least 2–3 years working hands-on with LLMs and Generative AI.
• Strong Python skills and a solid understanding of SQL.
• Deep understanding of agentic architecture patterns, including evaluating trade-offs and selecting technically sound approaches.
• Proven experience building and delivering agentic AI solutions in a commercial environment.
• Hands-on experience with vector databases, chunking strategies, and embedding optimization.
• Practical knowledge of agentic frameworks, such as LangGraph and ADK, and integration protocols.
• Proficiency with AI-assisted development tools, such as Cursor, Copilot, or similar, as a core part of the daily workflow.
• Cloud experience with AWS, Azure, or GCP; containerization; and API tooling including Docker and FastAPI.
• Fluent English at B2+/C1 level.

Bonus Points if You Have

• Ability to optimize RAG architectures for large-scale analytics.
• Hands-on experience with MLOps and secure deployment patterns in enterprise settings.
• Knowledge of LLMOps, model evaluation frameworks, and CI/CD pipelines for AI applications.
• Familiarity with Responsible AI practices, AI Act compliance, and hallucination mitigation strategies.
• Experience leading or mentoring junior engineers.
• Contributions to open-source projects or recognized thought leadership in the GenAI space.

What We Offer

• Permanent employment contract.
• Individual support from a People Lead and a clearly defined professional development path, including the possibility of a coaching session.
• Comprehensive training package: soft-skills, technical, and language training; access to e-learning platforms; Gallup test; GenAI training; and possible co-financing of courses and certifications.
• Employee Assistance Program with legal, financial, and psychological consultations.
• Employee Share Purchase Plan, with quarterly dividends for eligible employee shareholders.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the Worksmile benefits platform, including a Multisport card.