Role & responsibilities

JD for this requirement:

Responsibilities

- Architect and build enterprise-grade Generative AI applications combining LLMs, retrieval, structured data, orchestration, and workflow automation.

- Design agentic systems and multi-step reasoning workflows using LangGraph or equivalent with transparent control over state, memory, tool invocation, and human-in-the-loop checkpoints.

- Build fault-tolerant orchestration for long-running AI workflows using Temporal or similar platforms.

- Drive reference architectures for model routing, prompt versioning, observability, experimentation, and safe production rollout.

- Establish LLM/agent evaluation frameworks — offline evals, regression suites, trace diagnostics, and quality metrics tied to business outcomes.

- Own full feature development across design, implementation, testing, shipping, and servicing.

- Write and review clean, high-quality code with a focus on performance, scalability, and maintainability.

- Set best practices for AI tooling, service observability, alerting, and incident response.

- Mentor engineers across the team and foster a culture of technical excellence and continuous learning.

- Use AI tools in your daily workflow and advocate evolving best practices to the broader team.

Required Qualifications

- 15+ years of experience building large-scale distributed systems, platforms, or enterprise applications.

- Proven track record shipping production AI/LLM-powered applications — agentic workflows, RAG systems, or intelligent automation.





- Deep expertise in Generative AI: LLMs (OpenAI), Prompt Engineering, RAG, vector search, and AI agent orchestration.

- Hands-on experience with agent frameworks: LangChain, LangGraph, AutoGen, or equivalent.

- Frontend and backend background to integrate AI solutions end-to-end into existing applications.

- Strong software engineering fundamentals: system design, algorithms, testing, debugging, and code review.

- Demonstrated ability to lead technical direction and mentor engineers.

- Comfort in ambiguous, fast-moving problem spaces where best practices are still emerging.

- Bachelor/Masters in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

- Experience with additional AI frameworks: Semantic Kernel, LlamaIndex, or similar.

- Hands-on experience with AI developer tooling: GitHub Copilot, Claude Code, OpenAI Codex, or Cursor.

- Familiarity with agentic patterns — multi-step reasoning, tool/function calling, RAG, and human-in-the-loop workflows.

- Background in developer tooling, build systems, CI/CD pipelines, or engineering systems at scale.

- Experience with workflow orchestration platforms such as Temporal.

Preferred location – Chennai / Bangalore

Note

- 12–15 years of IT experience, with end-to-end implementation expertise in Agentic AI

- Internal and client interview rounds are mandatory

- Must adhere to the mandated RTO (hybrid model, 3 days a week in office - Mandatory)

- Keen to learn and committed to the role

📌 Generative AI -12+Years of exp (Bengaluru)
🏢 Cloudxtreme
📍 Bengaluru