Software Engineer, AI Platform

Location: Irving, Texas

Country: United States

Category: Technology

Workplace Location: Onsite

Employment Type: Contract

Posted Date: June 3, 2026

Job ID: 648099

Job Description

Software Engineer, AI Platform
Location: Irving Texas
Length: 6-month contract
Pay: $63/hr - $68/hr (DOE)

As a Software Engineer, AI Platform - Contract, you'll help build and improve internal platform capabilities that enable teams to use AI services safely, reliably, and at scale. This role blends full-stack product development with platform engineering: building user experiences, backend APIs and services, cloud integrations, observability workflows, and AI provider integrations across AWS and emerging GCP initiatives.
You'll work hands-on with engineers and platform partners to deliver practical tooling for API access, model and provider integration, usage visibility, governance workflows, and secure developer onboarding. The ideal candidate is a strong mid-level engineer who is comfortable moving across frontend, backend, and cloud/platform concerns in an evolving technical space.


Qualifications:

  • Required Qualifications
    • 7+ years of professional software engineering experience.
    • Hands-on experience building production applications with TypeScript, JavaScript, Node.js, React or similar frontend frameworks, HTML, and CSS.
    • Experience building or integrating backend services, REST APIs, and service-to-service workflows.
    • Working knowledge of AWS services and cloud-native deployment patterns.
    • Experience with databases and caching systems such as PostgreSQL, DynamoDB, Redis, or similar technologies.
    • Familiarity with Docker, CI/CD, Git, automated testing, and modern software delivery practices.
    • Ability to work across frontend, backend, and platform concerns in an ambiguous, evolving product area.
    • Interest in AI/GenAI systems, API platforms, governance, observability, and secure enterprise software.
  • AI, Platform, and Cloud Experience
    • Experience integrating with AI providers such as AWS Bedrock, OpenAI, Anthropic, Azure OpenAI, Google Gemini, or similar services.
    • Familiarity with model APIs, embeddings, streaming responses, prompt/response handling, or AI application patterns.
    • Understanding of API gateway and platform concepts such as authentication, quotas, rate limits, routing, policy enforcement, developer onboarding, and usage tracking.
    • Experience with observability tooling, logs, traces, metrics, audit events, or cost and usage reporting.
    • Exposure to AWS platform services such as Lambda, ECS, EKS, API Gateway, S3, CloudWatch, Secrets Manager, RDS, DynamoDB, or related services.
    • Exposure to GCP services such as Cloud Run, GKE, IAM, networking, Apigee X, or API management is valuable.
  • Preferred Qualifications
    • Experience building Python services or tooling with FastAPI, Pydantic, async/httpx, pytest, or modern packaging workflows.
    • Experience using Python with AI provider SDKs, embeddings/vector workflows, agent frameworks, or model evaluation tooling.
    • Experience with Apigee X or other enterprise API gateway platforms.
    • Experience with Kubernetes, EKS, GKE, or container orchestration in production environments.
    • Experience with platform engineering, internal developer platforms, SDKs, API products, or shared service platforms.
    • Familiarity with OpenAI-compatible APIs, LangChain, agent frameworks, AI evaluation, prompt workflows, or guardrail concepts.
    • Experience with Go, Erlang, or Elixir.
    • Experience in retail, e-commerce, high-transaction systems, or enterprise integration environments.
    • Comfort working with security, privacy, governance, and compliance-oriented requirements.

Responsibilities:
  • Build and maintain full-stack platform features across user-facing workflows, backend APIs, and supporting services.
  • Develop clean, reliable services using TypeScript, Node.js, Python and modern API patterns.
  • Contribute to user experiences using React ecosystem tools and modern frontend practices.
  • Integrate with AI providers and platform services, including model APIs, embeddings, streaming responses, and provider abstraction patterns.
  • Support cloud-native delivery on AWS, with growing collaboration around GCP-based initiatives.
  • Help implement secure API access, authorization, rate limits, routing, usage tracking, and observability workflows.
  • Work with product, platform, security, and DevOps partners to turn ambiguous requirements into practical implementation plans.
  • Write maintainable code, tests, documentation, and operational notes that help the platform scale beyond initial pilots.

EEO Statement

The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process, and always double check the email address of the Recruiter to ensure it’s from an official Planet domain (@theplanetgroup.com or @launchcg.com) - and not a domain with an alternative extension like .net, .org, or .jobs.

The Planet Group and our companies are equal opportunity employers. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity, and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.

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About The Planet Group

The Planet Group is a global professional services firm delivering strategic staffing and advisory solutions. We operate at the intersection of talent and transformation – connecting the right people with the right opportunities in the areas of technology, engineering, accounting & finance, digital marketing, and manufacturing.

As one of the largest staffing companies in the US, we operate with a global reach and a performance-first mindset. We partner with clients to move fast, stay agile, and drive measurable results – building high-impact teams that fuel transformation and growth.

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