Related skills
docker postgresql python kubernetes langchainπ Description
- Design and deploy AI-powered applications for clients.
- Build end-to-end AI systems: data ingestion, preprocessing, inference.
- Develop RAG systems and agentic workflows with LangChain, LangGraph, ADK, Genkit.
- Deploy models to production in AWS/GCP/Azure using Docker and Kubernetes.
- Monitor model performance, drift, and latency in production.
- Collaborate with engineers and product managers to integrate AI endpoints.
π― Requirements
- 5+ years software engineering.
- Python or AI-language expertise (Scala/JS/Java).
- Transformer architectures, embeddings, vector search.
- Experience with LLM APIs (OpenAI, Anthropic, Vertex AI).
- Hands-on with LangChain/LangGraph.
- Vector DBs and SQL/NoSQL.
- Cloud familiarity (GCP/AWS) and CI/CD.
π Benefits
- Fully remote work with flexible hours
- Competitive salary
- Flexible paid time off
- Profit-sharing program
- Healthcare
- Parental leave, including adoption and fostering
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β 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!