AI Software developer III

We are seeking for a Full-Stack Engineer who can be solid individual contributor and can design and implement user interfaces, backend services, and integrations end-to-end. They deliver features with high code quality, collaborate closely with seniors/leads, and demonstrate ownership of modules and tasks within a sprint.

Having a good Networking knowledge

- Build responsive, accessible front-end UI components and pages. - Develop backend REST/gRPC APIs, business logic, and data models. - Ensure clear contracts between front-end and backend.

- Implement CRUD flows, pagination, and state management. - Integrate with authentication/authorization, telemetry/analytics, and storage systems. - Consume external services: LLM endpoints, agent orchestration APIs, or RAG services (where applicable).

- Write unit/integration/e2e tests for UI and backend. - Add input validation, error handling, and observability hooks (logs/metrics/traces). - Maintain type safety, and documentation for features.

- Optimize rendering, bundle size, and API latency; add caching and retries. - Address N+1 queries, DB indexes, and query efficiency. - Participate in on-call rotations or incident triage with guidance.

- Contribute to build pipelines, environment configs, and deployment manifests. - Containerize services (Docker) and follow branching/versioning best practices. - Manage feature flags, configuration, and secrets safely.

- Work with designers, product, QA/ and senior engineers. - Provide clear status updates, capture decisions in ADR/design notes. - Review peer PRs; accept feedback and iterate quickly.

- Bachelor's degree in computer science, engineering, data science, or closely related quantitative discipline. Master's degree is desirable. - Typically, 4-7 years' experience.

- Frameworks: React (preferred) / Angular ; modern hooks/patterns. - UI/UX: HTML5, CSS3/Sass, Tailwind/Material; accessibility (a11y), responsive design. - Languages/Frameworks : Python (FastAPI/Flask) or Node.js (Express/NestJS); - APIs: REST/gRPC; pagination, filtering, versioning, OpenAPI/Swagger. - Data: SQL (Postgres/MySQL) and NoSQL (Mongo/Redis); ORMs (SQLAlchemy/Prisma). - Testing: pytest/Jest; integration and contract tests. - Containers: Docker basics; compose; image optimization. - CI/CD: GitHub Actions/Azure DevOps; pipelines, artifacts, environments. - Cloud: Familiarity with cloud services (AWS/Azure/GCP) and environments. - Observability: Logs/metrics/traces; dashboarding; alerting fundamentals - AI-Integration (Nice-to-Have for AI Apps) - Consume LLM/agent APIs; handle token/latency/cost controls. - Work with RAG services (vector search endpoints); understand request/response patterns. - Implement prompt/response logging and guardrails integration (basic filters).