Software Engineer, AI Platform (W2) || 6 Months || Irving, TX 75063 (5-day onsite)

Hello,
I hope you are doing well,

I’m Shikha Dixit, Lead Recruiter at Siri Info Solutions. I’ve been reviewing your background in [AI, Node.js, React, AWS, Google Cloud Platform, Azure, Python], and your profile stands out as an excellent match for a “Software Engineer, AI Platform” opening I have in Irving, TX 75063. This is a high-priority, 5-day, onsite role with one of our key clients. Given your experience, I’d love to discuss the details and see if this aligns with your career goals. Are you open to a quick 5-minute chat?

Role: Software Engineer, AI Platform (W2)

Duration: 6 months

Location: Irving, TX 75063 (5-day onsite)

Job Description:

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.

Best Regards,

Shikha Dixit| Email: or | LinkedIn:

Lead Recruiter

Siri InfoSolutions Inc, 3 Ethel Rd, Suite # 302, Edison NJ 08817.