Ai Software Engineer

Slpipe

Python software engineering fundamentals
Llm/genai fundamentals
Cloud computing platforms (aws/azure/gcp)
Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems

Job Summary

  • Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems.
  • Implement observability across the AI lifecycle: tracing, logging, metrics, and evaluation pipelines to monitor agent quality, cost, and reliability.
  • Our mission is advancing Essential Intelligence, and we are committed to a more equitable future and helping our customers find new, sustainable ways of doing business.

Matching Summary

Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems.

Skills & Requirements

Must-have

  • Python software engineering fundamentals
  • LLM/GenAI fundamentals
  • Cloud computing platforms (AWS/Azure/GCP)
  • Observability tools (OpenTelemetry, Prometheus, Grafana)
  • Data pipelines and frameworks (Pandas, Spark, dbt)
  • Reliability, performance, cost trade-offs

Nice-to-have

  • Agentic AI frameworks (LangChain, LangGraph)
  • LLM observability frameworks
  • Production LLM/agent systems experience
  • Think like platform builders
  • Lead with observability
  • Ship safely with guardrails
  • Learn through experimentation

Key Requirements

  • 3-6 years of experience
  • Bachelor's or Master's degree in CS, Engineering, Data Science or equivalent
  • CI/CD, code reviews, modern engineering best practices

Work Rights

Not specified

Tailored Resume

Cover Letter