Description

• Core GenAI & LLM expertise includes 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 behavioural observability.
• Full stack capabilities:
  • Backend — API design (REST/GraphQL), secure services, data modelling, 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 in 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 behaviour, cross functional teamwork, documentation, and critical output review. High learning agility and craftsmanship: staying current with evolving AI tools, delivering production quality systems

Key Skills

Education

Bachelor's degree