We seek developers with an AI first engineering mindset, able to choose between deterministic code, LLMs, and agents, and to design for probabilistic outputs with robust fallback strategies while balancing cost, latency, and reliability.

Role & Responsibilities:

Core GenAI & LLM Expertise :

- Integrating LLMs into production, prompt engineering, structured outputs, RAG pipelines, effective context management, and quality/hallucination evaluation.

Rapid Solution Development Skills :

- Proficiency with modern AI development platforms, APIs, and tooling to quickly prototype, iterate, and deploy functional AI capabilities into real world systems.

Agentic AI Experience :

- Building autonomous/semi autonomous agents with clear goals, constraints, orchestration patterns, tool calling, state/memory handling, guardrails, and behavioral observability.

Full Stack Capabilities :

- Backend : API design (REST/GraphQL), secure services, data modeling, async workflows, external integrations.

- Frontend : modern frameworks (e.g., React), AI native UX (streaming responses, explainability), state management, human AI interaction patterns.

Cloud Native Experience :

- Containerized/microservice environments, CI/CD for AI components, secure secrets handling, cost aware designs, and performance optimization.

Data & Knowledge Engineering :

- Handling structured/unstructured data, building pipelines, preprocessing, embeddings, ranking, and versioning AI artifacts.

Focus on Reliability, Security, and Responsible AI :

- Safeguard sensitive data, mitigate leakage/bias/safety risks, ensure auditability, and support graceful degradation.

Excellent Collaboration and Communication :

- Clear explanation of AI behavior, cross functional teamwork, documentation, and critical output review.

High Learning Agility and Craftsmanship :

- Staying current with evolving AI tools, delivering production quality systems.