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# Senior Engineer- Python

- **Company:** Wipro Limited
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $60,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Python (Programming Language), Redis, Software Engineering, TypeScript, Workflow Management Systems, Datadog, Pulumi, Flask (Web Framework), Large Language Models, Grafana, Prompt Engineering, Caching, Cloudformation, Fastapi, Event Driven Architecture, Containerization, Kubernetes, Apache Kafka, Machine Learning Operations, Terraform, Splunk, Grpc, Artificial Intelligence Markup Language (AIML), Docker, Microservices
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=339a2c77f7912fb0

## About the Role

1) 5+ years software engineering experience with strong proficiency in Python, plus working knowledge of at least one of Java, Go, or TypeScript; hands-on experience building production REST/gRPC APIs and microservices.

2) Solid experience with cloud platforms (AWS or Azure preferred), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, CloudFormation, or Pulumi).

3) Working experience with LLM integration patterns, prompt engineering, or AI/ML application development; familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools., 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., A great candidate is a solid mid-level to senior engineer who writes clean, testable code and has genuine curiosity about AI/ML systems. They do not need to be a deep ML expert, but they should understand how LLMs work, what agentic patterns look like, and how to build reliable services around non-deterministic components. They take ownership, write good tests, communicate clearly in code reviews, and are comfortable operating production systems.

͏
Mandatory Skills: AI ML Governance Product Engineering .

Experience: 5-8 Years .



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