Related skills
postgresql python typescript fastapi langchain📋 Description
- Design end-to-end LLM-enabled apps from backend to UI.
- Integrate LLMs (OpenAI, Anthropic, Meta) via APIs or fine-tuning.
- Build end-to-end RAG pipelines with embeddings and vector DBs.
- Design evaluation pipelines to measure model performance and safety.
- Collaborate with cross-functional teams to address AI use cases.
- Contribute to architecture, testing, and debugging.
🎯 Requirements
- Production experience with AI software dev: LLMs, backend, frontend.
- Experience deploying AI apps in Azure/AWS/GCP with Docker/Kubernetes.
- Several years of experience in these competencies.
- Foundational DevOps: CI, automated deployment, test automation.
- Vector DBs: PostgreSQL+pgvector, pgvectorscale.
- Fluent Finnish & English (verbal & written).
🎁 Benefits
- Impact how you work: teams choose approaches with clients.
- A supportive community with strong peer backing.
- Sustainable work-life balance and wellbeing perks.
- Internal training, community events, and tech coffee breaks.
- Cloud Academy and ongoing learning opportunities.
- 300+ hobby clubs supported by Reaktor.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!