Forward Deployed Engineer (all genders)
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Before you apply
LocationLisbon, Lisbon, pt
Typefull-time
SeniorityMid
Experience3–6 yrs
DepartmentDigital
Company size10,000+ people
PostedJul 8, 2026 · 3mo ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
Degree in Computer Science/Engineering or equivalent experience
3–6 years experience in GenAI engineering with delivery to end users
Proficiency in Python engineering for data processing and ML: clean code, typing, tests, packaging, profiling, code quality assessment
Expertise with AI agents: orchestration, tool-calling, prompts-as-code and safe tool execution
Experience with fine-tuning models, dataset preparation, and evaluation using metrics and regression suites
Strong knowledge of CI/CD pipelines (e.g., GitHub, GitLab, Azure DevOps, Docker)
Strong knowledge of cloud deployments (Azure, AWS, GCP)
Proficiency in MCP integration: implementing servers/clients, defining schemas, and ensuring secure tool access (RBAC/ABAC)
Familiarity with data access and integration (SQL/NoSQL/object stores, vector databases, graph databases), event/async patterns, caching, performance and cost awareness
Excellent communication skills in English
Skills
Python
MCP
GitHub
GitLab
Azure DevOps
Docker
Azure
AWS
GCP
SQL
NoSQL
object stores
vector databases
graph databases
Job Description
Join our growing Roland Berger AI Lab to turn high-value ideas into working (Gen)AI solutions—quickly and safely. In this client-facing role you will lead use-case ideation workshops, derive business & technical requirements and deliver PoVs and pilots that can graduate to production.
Responsibilities
Your day-to-day will involve coding in Python, building agentic workflows, fine-tuning models, conducting evaluations, and integrating data/tools via secure APIs- You will also design and integrate MCP solutions, ensuring seamless integration, observability and versioning. Collaborating closely with Backend, DevOps, and Architects, you will deliver secure, scalable, and observable deployments across Azure, AWS, GCP and on-premise environments.
If you’re ready to make a significant impact in the AI landscape, we are looking forward to hearing from you!
Qualifications
•
Degree in Computer Science/Engineering or equivalent experience
•
3–6 years experience in GenAI engineering with delivery to end users
•
Proficiency in Python engineering for data processing and ML: clean code, typing, tests, packaging, profiling, code quality assessment
•
Expertise with AI agents: orchestration, tool-calling, prompts-as-code and safe tool execution
•
Experience with fine-tuning models, dataset preparation, and evaluation using metrics and regression suites
•
Strong knowledge of CI/CD pipelines (e.g., GitHub,GitLab,Azure DevOps, Docker) and cloud deployments (Azure, AWS, GCP)
•
Proficiency in MCP integration: implementing servers/clients, defining schemas, and ensuring secure tool access (RBAC/ABAC)
•
Familiarity with data access and integration (SQL/NoSQL/object stores, vector databases, graph databases), event/async patterns, caching, performance and cost awareness
•
Excellent communication skills in English
Additional Information
Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal. If you have any questions, don’t hesitate to contact me.
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