Senior AI Engineer
TypeFull-time job
LocationGreece, Poland, Romania
Posted3 hours ago
About Entrada AI
Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders.
Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.
About the Role
We are looking for an experienced Senior AI Engineer to join our team and lead the development of advanced AI solutions that solve real business problems. In this role, you will work closely with data scientists, data engineers, and cloud engineers to design, build, and deploy scalable AI systems in production environments.
Key Responsibilities
Coordinator hardening, Critic agent, guardrails
Chunking strategy and the chunk-metadata contract
Attribute-filter injection that enforces entitlement at retrieval
Hybrid routing across vector, graph and SQL paths
Must-haves
Production RAG at scale with an eval harness and regression gating
Graph RAG: entity and relationship extraction, graph construction, graph-aware retrieval
Python at depth with async, typing, packaging, test discipline and established experience
GCP Vertex AI and Agent Engine, ADK or equivalent framework with A2A / OpenAPI / MCP experience
Snowflake Cortex Search and Cortex Analyst, or demonstrable equivalent
Retrieval evaluation: golden sets, LLM-as-judge, hallucination rate, attribution
Terraform and SDLC literacy
The Offer
Cooperation Models:
Poland: Available via Employment Contract (UoP) or B2B.
Romania/ Greece: Available via B2B only.
100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece
High-End Tech: Apple MacBook Air M4 15" provided to all engineers.
Referral Bonus: Bonus for bringing other top-tier engineers to the team.
Professional Growth:
Certification Support: Coverage for all Databricks technical certifications.
Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.
Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.
Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.
Recruitment Process
Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.
Technical Interview (60 min): Deep dive into your technical skills with our engineering team.
Optional Client Interview: Required only in specific cases.
Decision & Offer: We aim to close the process and provide feedback efficiently.
Originally posted on Himalayas
Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders.
Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.
About the Role
We are looking for an experienced Senior AI Engineer to join our team and lead the development of advanced AI solutions that solve real business problems. In this role, you will work closely with data scientists, data engineers, and cloud engineers to design, build, and deploy scalable AI systems in production environments.
Key Responsibilities
Coordinator hardening, Critic agent, guardrails
Chunking strategy and the chunk-metadata contract
Attribute-filter injection that enforces entitlement at retrieval
Hybrid routing across vector, graph and SQL paths
Must-haves
Production RAG at scale with an eval harness and regression gating
Graph RAG: entity and relationship extraction, graph construction, graph-aware retrieval
Python at depth with async, typing, packaging, test discipline and established experience
GCP Vertex AI and Agent Engine, ADK or equivalent framework with A2A / OpenAPI / MCP experience
Snowflake Cortex Search and Cortex Analyst, or demonstrable equivalent
Retrieval evaluation: golden sets, LLM-as-judge, hallucination rate, attribution
Terraform and SDLC literacy
The Offer
Cooperation Models:
Poland: Available via Employment Contract (UoP) or B2B.
Romania/ Greece: Available via B2B only.
100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece
High-End Tech: Apple MacBook Air M4 15" provided to all engineers.
Referral Bonus: Bonus for bringing other top-tier engineers to the team.
Professional Growth:
Certification Support: Coverage for all Databricks technical certifications.
Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.
Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.
Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.
Recruitment Process
Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.
Technical Interview (60 min): Deep dive into your technical skills with our engineering team.
Optional Client Interview: Required only in specific cases.
Decision & Offer: We aim to close the process and provide feedback efficiently.
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.