Senior Engineer- Python

WiproDallas, TX

About The Position

As a Software Engineer on the Agentic System Layer (ASL) team, you will build and maintain the core platform components that power client agentic AI systems. Day-to-day responsibilities include: developing and maintaining agent orchestration services, tool registries, and execution runtimes; building APIs and microservices for LLM integration, prompt management, and agent lifecycle management; implementing observability, logging, and monitoring for agentic workflows; writing comprehensive tests (unit, integration, end-to-end) for platform reliability; collaborating with architects on design decisions and with ML engineers on model integration; participating in on-call rotations for production support of the AI platform; contributing to CI/CD pipelines, infrastructure-as-code, and deployment automation.

Requirements

  • 5+ years software engineering experience with strong proficiency in Python
  • Working knowledge of at least one of Java, Go, or TypeScript
  • Hands-on experience building production REST/gRPC APIs and microservices
  • Solid experience with cloud platforms (AWS or Azure preferred)
  • Containerization (Docker/Kubernetes)
  • CI/CD pipelines
  • Infrastructure-as-code (Terraform, CloudFormation, or Pulumi)
  • Working experience with LLM integration patterns, prompt engineering, or AI/ML application development
  • Familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools
  • AI ML Governance Product Engineering

Nice To Haves

  • Experience with event-driven architectures (Kafka, EventBridge)
  • Vector databases
  • Observability tools (Datadog, Splunk, OpenTelemetry)
  • Agent evaluation frameworks
  • FastAPI/Flask
  • Async Python
  • Redis/caching patterns
  • Airline or travel industry experience

Responsibilities

  • Developing and maintaining agent orchestration services, tool registries, and execution runtimes
  • Building APIs and microservices for LLM integration, prompt management, and agent lifecycle management
  • Implementing observability, logging, and monitoring for agentic workflows
  • Writing comprehensive tests (unit, integration, end-to-end) for platform reliability
  • Collaborating with architects on design decisions and with ML engineers on model integration
  • Participating in on-call rotations for production support of the AI platform
  • Contributing to CI/CD pipelines, infrastructure-as-code, and deployment automation

Benefits

  • Full range of medical and dental benefits options
  • Disability insurance
  • Paid time off (inclusive of sick leave)
  • Other paid and unpaid leave options
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service