Software Engineer; Python and LLM
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-06-03
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
Cloud Engineer - Software, Software Engineer, AI Engineer, DevOps
Job Description & How to Apply Below
Job Title: Software Engineer (Python and LLM)
Location:
Dallas, TX-
F2F Interview
Experience:
6+ Year
Duration: 12+ Months
Rate: $45/hr(W2)
Job description:
As a Software Engineer on the Agentic System Layer (ASL) team, you will build and maintain the core platform components that power Client s 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.
Top 3 Mandatory Skills and Experience:
1) 5+ years software engineering experience with strong proficiency in Python, plus working knowledge of at least one of Java, Go, or Type Script ; 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, Cloud Formation, or Pulumi).
3)
Working experience with LLM integration patterns, prompt engineering, or AI/ML application development; familiarity with frameworks like Lang Chain, Lang Graph, or similar orchestration tools.
Nice to Have Skills:
Experience with event-driven architectures (Kafka, Event Bridge), vector databases, observability tools (Datadog, Splunk, Open Telemetry), agent evaluation frameworks, FastAPI/Flask, async Python, Redis/caching patterns, airline or travel industry experience.
What Makes a Great Candidate?:
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.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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