Python / AI Developer

Job Title : Python / AI Developer

Location: San Antonio, TX Hybrid

Duration: Long term

Job Type : Contract (We can consider - W2)

Best profiles to target:

12+ Years Experience | Python | FastAPI | AWS/Google Cloud Platform | AI/LLM Integration | Gemini/Vertex AI/Bedrock/OpenAI | PostgreSQL | Redis | Docker | CI/CD | Terraform | Distributed Systems

Candidate Profile We Want Our ideal candidate would be:

Senior Python Developer + AI Integration Experience + Strong Cloud + Excellent Communication

Responsibilities:

Technical Requirements

Must Have:

• 4 8+ years of software engineering experience; strong Python 3.x
• Strong production experience with FastAPI or Flask
• Experience building secure, versioned APIs
• Cloud experience with Google Cloud Platform or AWS
• Google Cloud Platform: Cloud Run, GKE, Pub/Sub
• AWS: Lambda, EKS, API Gateway, SQS
• Databases:
• PostgreSQL or MySQL
• Redis / ElastiCache / Memorystore
• Database migrations and schema design
• CI/CD experience
• GitHub Actions
• Cloud Build
• Docker/containerization
• Infrastructure as Code; Terraform is helpful
• Unit, integration and/or contract testing
• OpenAPI/API specifications
• Observability
• Strong understanding of distributed systems
• Resiliency patterns and performance tuning

Role Responsibilities

The engineer will build, operate and scale Python APIs and backend services that integrate AI capabilities to support internal and external applications.

Key responsibilities include:

• Design, implement and document FastAPI services and SDKs for AI features
• Integrate third-party AI providers such as:
• Google Gemini / Vertex AI
• AWS Bedrock
• OpenAI
• Build secure and observable AI integrations
• Develop event-driven and synchronous backends
• Work with REST APIs, webhooks and queues
• Implement robust error handling
• Optimize latency, throughput and cost
• Implement caching, rate limiting, retries and circuit breakers
• Write high-quality, production-ready code
• Develop and maintain automated tests
• Support CI/CD pipelines
• Implement structured logging, metrics and tracing
• Own production readiness and runbooks
• Collaborate with Product, Data and ML teams
• Translate business requirements into APIs and workflows
• Follow security, privacy and compliance requirements
• Handle secrets, OAuth/OIDC and PII appropriately
• Preferred Qualifications
• Experience integrating AI services:
• Vertex AI / Gemini
• AWS Bedrock
• OpenAI
• Prompt/response handling
• Intermediate data engineering experience with Python and SQL
• OAuth/OIDC
• JWT
• Service-to-service authentication
• KMS / Secrets Manager
• Basic data pipeline knowledge
• Batch-to-feature/API pipelines
• Schema evolution practices
• React experience is a strong plus and could make the candidate a full-stack fit