Related skills
postgresql python kubernetes elasticsearch fastapi📋 Description
- Design, build, and maintain AI-powered services and APIs using LLMs and ML models.
- Develop enterprise-grade agentic framework for orchestration and retrieval across AI agents.
- Implement and optimize knowledge retrieval with vector databases like Qdrant and Elasticsearch.
- Write clean, production-grade Python code for services, experiments, and tools.
- Build and maintain shared Python libraries and SDKs across apps and microservices.
- Collaborate with cross-functional teams on architecture, API standards, and platform reliability.
🎯 Requirements
- Bachelor’s or Master’s in CS/Engineering or equivalent practical experience.
- 5+ years as Software Engineer with strong Python.
- Proven track record building production-grade systems in Python.
- Strong understanding of distributed systems, API design, data-driven architectures.
- Experience with PostgreSQL, Elasticsearch, Qdrant, or similar.
- Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
- Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, model validation).
🎁 Benefits
- Flexible, trust-oriented culture empowering ownership.
- Focus on work-life balance with self-care.
- Vibrant, dynamic environment with a broad benefits package.
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