Related skills
postgresql python django kubernetes flask📋 Description
- Develop and maintain internal tools, APIs, and AI-enabled workflows.
- Design AI agents, multi-step flows, and automation pipelines.
- Build integrations with Jira, Confluence, Slack, AWS, and other systems.
- Create AI-powered data processing, document analysis, and automation.
- Integrate LLMs and AI services via APIs and vector databases.
- Implement CI/CD, automated testing, and ensure reliability and security.
🎯 Requirements
- 3-5+ years Python/AI engineering experience.
- Strong Python 3.x, async, REST APIs; FastAPI/Flask/Django.
- Production AI solutions; LLM APIs (OpenAI, Anthropic, AWS Bedrock, Vertex AI).
- Design AI agent workflows and multi-step orchestrations.
- Secure API integrations: OAuth2, webhooks, retries, error handling.
- SQL with PostgreSQL/MySQL; data modeling.
🎁 Benefits
- Competitive salary
- Work-life harmony (hybrid)
- Annual performance bonus
- Generous time off
- Employee referral program
- Comprehensive health & pension benefits
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