Job Opportunity: Python Developer - San Antonio, TX/ Dallas, TX - 12 months + (High potential for extension)

[Venu Goud]

Job Opportunity: Python Developer

Location: San Antonio, TX/ Dallas, TX

Duration: 12 months + (High potential for extension)

Send me the resumes to Ve...@techrakers.com, Strictly H1B's. Locals required.

                                                                                                                                                                                                                                          

Job Description:

Software Engineer (Python/FastAPI) — AI Applications

Role: Build, operate, and scale Python APIs and backend services that integrate AI capabilities (e.g., Google Gemini via Vertex AI) to power internal and external applications. You will not build models; you’ll productionize integrations, orchestrations, and data flows around them.

 

What You’ll Do:

Design, implement, and document FastAPI services and SDKs for AI features.

Integrate third-party AI providers (Gemini, Bedrock, OpenAI) with secure, observable patterns.

Build event-driven and synchronous backends (REST/webhooks/queues) with robust error handling.

Optimize latency, throughput, and cost; add caching, rate limiting, and retries/circuit breakers.

Ship high-quality code with tests, CI/CD.

Instrument services (structured logs, metrics, traces) and own production readiness/runbooks.

Collaborate with product, data, and ML teams to translate requirements into APIs and workflows.

Uphold security, privacy, and compliance (secrets, OAuth/OIDC, PII handling).

 

Required Qualifications:

4–8+ years software engineering (mid–senior); strong Python 3.x.

Production FastAPI (or Flask) delivering secure, versioned APIs.

Cloud experience on GCP or AWS (e.g., Cloud Run/GKE/Pub/Sub or Lambda/EKS/API Gateway/SQS).

Datastores: Postgres/MySQL and one of Redis/ElastiCache/Memorystore; migrations and schema design.

CI/CD (GitHub Actions/Cloud Build), containerization (Docker), IaC familiarity (Terraform helpful).

Testing culture (unit/integration/contract), API specs (OpenAPI), and observability.

Strong grasp of resiliency patterns and performance tuning in distributed systems.

 

Preferred Qualifications:

Experience integrating AI services (Vertex AI/Gemini, AWS Bedrock, OpenAI) and prompt/response handling.

Intermediate data engineering skills with Python/SQL

Security: OAuth/OIDC, JWT, service-to-service auth, KMS/Secrets Manager.

Data pipelines basics (e.g., batch to feature/API), and schema evolution practices.

Front end experience with React is a big plus (this would ultimately mean a full stack candidate).