Irving, TX · On-site
As a Software Engineer, AI Platform - Contract, you'll help build and improve internal platform ... Elixir. · Experience in retail, e-commerce, high-transaction systems, or enterprise integration ...
Irving, TX · On-site
As a Software Engineer, AI Platform - Contract, you'll help build and improve internal platform ... Elixir. · Experience in retail, e-commerce, high-transaction systems, or enterprise integration ...
| Aspect | Contract Elixir Developer | Contract Ruby Developer |
|---|---|---|
| Required Credentials | Proficiency in Elixir, functional programming, and related frameworks | Proficiency in Ruby, object-oriented programming, and Rails |
| Work Environment | Typically startups, tech companies, or projects needing scalable, concurrent systems | Often web development, startups, and companies using Ruby on Rails |
| Employer & Industry Usage | Emerging in telecom, fintech, and scalable backend services | Widely used in web development, e-commerce, and SaaS platforms |
| Search & Comparison Intent | Often compared for backend scalability and functional programming benefits | Compared for web app development and rapid deployment |
Contract Elixir Developers focus on scalable, concurrent systems using Elixir, while Contract Ruby Developers specialize in web applications with Ruby on Rails. Both roles require strong programming skills but differ in language, frameworks, and typical industry applications.
Other
Posted 11 days ago
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 Google Cloud Platform 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.
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 Google Cloud Platform-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.
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 Google Cloud Platform 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.