Added
12 hours ago
Type
Full time
Salary
Salary not provided

Related skills

python langchain llamaindex langgraph temporal

πŸ“‹ Description

  • Design, build, and ship production-grade AI solutions and agentic workflows as an active hands-on
  • Architect stateful, cyclic, and multi-agent workflows using LangGraph, Temporal, and Pydantic
  • Establish and improve AI observability practices using LangFuse, including tracing, prompt
  • Define engineering standards and reusable patterns for agent design, retrieval-augmented generation
  • Collaborate with product and platform teams to develop AI architectures that satisfy enterprise
  • Evaluate emerging AI technologies, LLM providers, orchestration frameworks, and agentic development

🎯 Requirements

  • 8+ years of professional software engineering experience, including at least 3 years building and
  • Hands-on expertise with LangGraph, Temporal, and Pydantic for enterprise-scale workflows.
  • Hands-on experience with LangFuse or comparable AI observability platforms (tracing, evaluation
  • Experience with agent orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or similar
  • Deep proficiency in Python; strong fundamentals in architecture, automated testing, CI/CD, code
  • Experience deploying AI systems in AWS, Azure, or GCP with containerization and cost-aware

🎁 Benefits

  • Competitive healthcare coverage for employees and families.
  • Wellness programs supporting physical and mental well-being.
  • Flexible paid time off to use as needed.
  • Parental leave benefits.
  • Employee recognition programs.
  • Opportunities to work with advanced AI technologies and agentic architectures.
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