FDE with Google Cloud Platform (LLM applications, AI agents, RAG, Java/Python/Go, API Services) :Banking and Payments domain : Local to Dallas Texas

Position     : FDE with Google Cloud Platform (LLM applications, AI agents, RAG, Java/Python/Go, API Services, Google Cloud Platform, observability, Kubernetes.) :Banking and Payments domain : Local to Dallas Texas preferred:  Only USA
Location     : Dallas Texas (4 days Onsite & Local )
Type of Job     : Contract : 12 Months
Experience     : 10+ Years

## Must Have

- 5+ years of software engineering experience building distributed services or platforms.
- Hands-on experience with LLM applications, AI agents, RAG, or tool-calling workflows.
- Strong programming skills in Java, Python, TypeScript, or Go.
- Experience with APIs, service integration, asynchronous processing, and distributed systems.
- Practical knowledge of authentication, authorization, secrets management, and secure service communication.
- Experience with observability, including structured logging, metrics, tracing, and operational dashboards.
- Experience with cloud and containerized deployments, such as Kubernetes.
- Strong communication and collaboration skills, with the ability to turn ambiguous ideas into working POCs.

## Nice to Have

- Experience with Model Context Protocol, MCP gateways, MCP servers, or similar agent integration frameworks.
- Experience building orchestration or workflow platforms with durable execution, queues, event streams, or human-in-the-loop controls.
- Experience with Redis or other distributed caching technologies.
- Experience with Open Telemetry and AI observability or evaluation platforms.
- Knowledge of OAuth 2.0, OpenID Connect, workload identity, token exchange, delegated authorization, or policy engines such as OPA.
- Experience in financial services, retail investing, brokerage, or another regulated industry.
- Familiarity with responsible AI, data privacy, model governance, vector databases, embeddings, and retrieval systems.
- Experience with CI/CD, infrastructure as code, automated testing, and performance testing.

## Expected Outcomes

- Working POCs for an MCP gateway, retail MCP server, and orchestration layer.
- Reusable patterns for secure agent access, caching, and AI telemetry.
- A practical roadmap for hardening foundational capabilities for production adoption.