Related skills
docker python kubernetes fastapi langchain📋 Description
- Collaborate with delivery leaders to scope tech solutions for ops problems.
- Identify workflow optimizations by engaging with customer problems.
- Design and implement AI-powered workflows using LLMs, embeddings, retrieval.
- Oversee cloud operations to deploy and run ML models efficiently.
- Iterate quickly with real-time feedback from operators and clients.
- Build reusable tooling and infra to speed future deployments.
🎯 Requirements
- 6+ years of software engineering, incl. data/ML/backend systems.
- Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone.
- Deployment & Infrastructure: Docker, FastAPI, Kubernetes, GCP/AWS.
- Platform Orchestration: workflow libraries, Kafka, and schema governance.
- Data Management: Unity Catalog, policy mgmt, Delta/ETL, data contracts.
- Strong product mindset and distributed systems skills; translate needs to architecture.
🎁 Benefits
- Competitive pay aligned with market and location.
- Salary respects regional cost of living and internal equity.
- Hybrid work arrangement with client-facing impact.
- Opportunity to work on AI-powered solutions.
- Collaborative, inclusive team culture.
- Remote-friendly and globally distributed team.
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!