Im Shikha Dixit Lead Recruiter at Siri Info Solutions. Ive been reviewing your background in AI React AWS GCP 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 Id 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 youll 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. Youll 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 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.
Required Qualifications
7 years of professional software engineering experience.
Hands-on experience building production applications with TypeScript JavaScript 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.
Siri InfoSolutions Inc 3 Ethel Rd Suite # 302 Edison NJ 08817.
Hello I hope you are doing well Im Shikha Dixit Lead Recruiter at Siri Info Solutions. Ive been reviewing your background in AI React AWS GCP 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-prior...
Hello I hope you are doing well
Im Shikha Dixit Lead Recruiter at Siri Info Solutions. Ive been reviewing your background in AI React AWS GCP 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 Id 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 youll 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. Youll 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 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.
Required Qualifications
7 years of professional software engineering experience.
Hands-on experience building production applications with TypeScript JavaScript 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.