Senior Go Engineer (GenAI)

We are looking for a Senior Go Engineer to design and build the backend systems that power AI-native platform workflows at enterprise scale. You will transform complex engineering challenges into secure, robust, production-grade Go services — integrating LLMs, automating quality pipelines, and enabling event-driven architectures used by global organizations. This role exists for engineers who want to own hard problems end-to-end and build at the intersection of Go backend engineering and production AI.

Functional Responsibilities:

• Architect, design, and implement production-grade backend services in Go that integrate with LLMs, ensuring systems are scalable, secure, and reliable.
• Build AI-augmented CI/CD pipelines and automated quality gates, including integration tests, contract tests (OpenAPI and Avro compliance), and pre-merge validation.
• Implement agentic architectures for complex multi-step workflows, tool use, planner/executor patterns, and AI-assisted automation pipelines.
• Design and build event-driven services using Kafka for cross-service data propagation and real-time workflow orchestration.
• Build and maintain contract-first, spec-driven development workflows: schema validation, code scaffold generation, and contract compliance in CI.
• Design knowledge infrastructure for AI tools: structuring organizational context, conventions, and rules so AI systems produce consistent, high-quality, system-specific output.
• Define and enforce quality standards for AI-generated artifacts, ensuring outputs verify real behavior and meet production reliability requirements.
• Monitor system and AI pipeline health using observability tools , logging, metrics, LLM performance tracking , and proactively resolve issues.
• Maintain high engineering standards: modular code, automated testing, thorough documentation, and pragmatic decision-making in greenfield problem spaces.
• Partner with platform and product teams in a collaborative, high-ownership environment, driving architecture decisions and implementations end-to-end.

Qualifications:

• 5–7 years of professional experience as a Software Engineer, with strong Go (Golang) proficiency as the primary language.
• Hands-on production experience with AI/LLM integration, shipped systems with real usage, not experimentation or POCs; daily use of AI coding assistants (Copilot, Cursor, Claude Code, or equivalent).
• Experience building or working with contract-first development workflows (OpenAPI, Avro, or schema-driven); Experience with AI-augmented CI/CD pipelines, automated quality gates is a plus.
• Experience with event-driven architectures and Kafka for cross-service data propagation; familiarity with Avro schemas and message contract design.
• Practical experience with AWS, including EKS and container-based deployments (ECS, Lambda, or equivalent cloud-native infrastructure).
• Experience designing systems for multi-tenant or hierarchically structured data models, and working with PostgreSQL in production environments.
• Strong system design and problem-solving skills, including scoping ambiguous problems, evaluating LLM vs. deterministic approaches, and knowing when not to use AI.
• Experience with structured data extraction from unstructured inputs using LLMs, or knowledge engineering for AI tools (structuring context and instructions for consistent AI output) is a plus.
• A pragmatic mindset: you value pragmatic delivery over over-engineered solutions and bring measurable outcomes to back your decisions.
• Excellent English communication skills, both written and spoken, with the ability to collaborate across distributed teams and articulate complex technical decisions clearly.
• Familiarity with workflow orchestration tools such as Temporal or Airflow; experience with Kubernetes (EKS) deployment and operations is a plus.
• Exposure to knowledge graphs, ontologies, or graph-based data modeling; experience with SCIM, SAML, or enterprise identity provisioning patterns is a plus.