AINative Software Developer Profile (GenAI & Agentic AI, FullStack) We seek developers with an AIfirst 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. 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 realworld systems. Agentic AI experience: building autonomous/semiautonomous agents with clear goals, constraints, orchestration patterns, toolcalling, state/memory handling, guardrails, and behavioral observability. Fullstack capabilities: Backend API design (REST/GraphQL), secure services, data modeling, async workflows, external integrations. Frontend — up-to-date frameworks (e.g.,



React), AInative UX (streaming responses, explainability), state management, humanAI interaction patterns. Cloudnative experience in containerized/microservice environments, CI/CD for AI components, secure secrets handling, costaware 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, crossfunctional teamwork, documentation, and critical output review. High learning agility and craftsmanship: staying current with evolving AI tools, delivering productionquality systems.

📌 AI Developer (Chennai)
🏢 Tranzeal
📍 Chennai