Job Description, Responsibilities & Requirements
About the Position
We are looking for a Senior Go Developer with Generative AI to design and build scalable, production-ready backend systems for a Go-based platform that routes, secures, and governs LLM inference across multiple model providers.
This role involves owning critical backend services, integrating with external LLM providers, and ensuring reliability, performance, and security at scale.
Responsibilities
- Design and implement production-grade backend features using Go in a microservices-style architecture
- Build and maintain provider integration frameworks for external LLM vendors such as OpenAI and Anthropic, as well as cloud AI services
- Own backend service quality through robust unit and integration testing, and continuously improve CI/CD quality gates
- Improve data access reliability and performance across PostgreSQL and Redis
- Collaborate cross-functionally on architecture, scalability, security, and operational excellence
- Lead technical design discussions and deliver solutions independently in ambiguous problem spaces
- Work with other product teams on their specific API requirements, troubleshoot issues, and identify new requirements
Requirements
- 3+ years of professional software engineering experience with strong backend ownership
- Deep expertise in Go, including idiomatic design, interfaces, concurrency, context management, and error handling
- Hands-on experience building HTTP APIs, middleware, and service-oriented architectures
- Strong experience with PostgreSQL, including schema design, query optimization, and database migration workflows
- Practical experience with Redis (caching strategies, counters, and distributed rate-limiting patterns)
- Experience designing or working with authorization and policy systems (RBAC/ABAC concepts)
- Strong testing discipline in Go (table-driven tests, mocks, integration tests, and test containers)
- Experience operating production systems with observability tooling (OpenTelemetry metrics and tracing, dashboards, and alerting)
- Solid experience with Kubernetes and Helm deployments
- Strong CI/CD experience (GitHub Actions or equivalent)
- Demonstrated ability to lead technical design and execute independently, end-to-end
- Familiarity with GenAI concepts and OpenAI APIs, with a drive for self-learning
- Familiarity with AI-centric development while maintaining strong controls on quality and architecture patterns
- Good communication and collaboration skills
- English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to Have
- Experience building LLM gateways, API gateways, or multi-provider AI/ML integration platforms
- Experience with gRPC, cloud SDKs, or service integrations on AWS, Azure, or GCP
- Familiarity with API platform security controls, including API keys, OIDC, secrets management, and abuse prevention
- Exposure to cost and performance optimization for high-volume inference or request-processing workloads