AI Engineer (Digital Marketing sphere)
Tasks
- Apply prompt engineering techniques
- Build AI platform capabilities
- Build LLM retrieval augmented generation pipelines
- Configure checkpointing for agents
- Create graph workflows with LangGraph
- Design AI solution architecture
- Design microservices and distributed systems
- Develop conversational AI agents
- Implement REST APIs
- Implement observability and tracing
- Implement streaming responses with SSE
- Implement streaming responses with WebSockets
- Implement structured outputs
- Integrate external APIs
- Perform automated testing for AI systems
- Research AI technologies
- Set up tool calling
Perks/Benefits
- Additional vacation days
- Flexible work options
- Health insurance
- Hybrid work
- Internal conferences
- Meetups
- Mentorship
- Non technical training
- Pager duty rotation
- Referral program
- Remote work
- Sports activities
- Technical training
- Training programs
- Work anniversary program
Skills/Tech-stack
A2A | API routing | AWS | Agent Orchestration | Asynchronous programming | Boto3 | Caching | Checkpointing | Claude Code | FastAPI | Feature Flagging | Jest | LLM Observability | LLM concepts | Langchain | Langfuse | Langgraph | Langsmith | LaunchDarkly | MCP | Microservices | Multi-Agent | Multi-agent orchestration | Nest.js | OpenTelemetry | PostgreSQL | Prompt engineering | Pydantic | Pytest | Python | RAG | REST | SQL | SQLAlchemy | SSE | Structured outputs | Text-to-SQL | Tool-Calling | TypeScript | Unleash | Vector Databases | Vertica | WebSockets
Education
N/A
Roles
AI | AI Engineer | Backend | Backend Developer | Developer | Engineer
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