Job highlights

- 8+ years in software engineering with expertise in Agentic AI frameworks (Langchain, Langgraph, MS Agentic AI Framework), building RAG systems, OCR & Text Extraction, and AI-driven observability tools

- Lead design and development of AI-native agentic workflows, architect AI agents for observability and automated diagnostics, build scalable APIs, and drive AI-first development practices across engineering teams

Job Summary

Lead Analyst - Agentic AI Engineer.

Experience: 8 to 10 Years.

Category: Software Development/ Engineering.

Shift: 11:00 AM to 8:00 PM IST.

Location: Hyderabad, Telangana, India.

Employment Type: Full Time.

Responsibilities

- Lead the design and development of AI-native agentic workflows that enhance engineering productivity, observability intelligence, and end-to-end operational excellence across Client's AI Platform.

- This is a Senior Individual Contributor role focused on building and deploying intelligent agents-not just integrating automation tools, but architecting AI-driven systems that reason, analyze, and act across telemetry, applications, and workflows.

- Set technical direction for our document content extraction and transformation team, establishing patterns for scalable, secure, and performant systems on AWS/Azure.

- Guide the evolution of our content extraction and transformation technology stack as the business and customer needs mature and scale.

- Design and implement scalable APIs (REST, GraphQL) that power our front-end and enable third-party integrations.

- Architect and build AI agents for observability, automated root cause analysis, anomaly detection, and engineering productivity optimization.

- Design agentic workflows that integrate across telemetry pipelines, application stacks, and cloud infrastructure.





- Develop AI-driven tooling to accelerate development velocity, reduce operational toil, and improve MTTR.

- Apply LLMs, reasoning frameworks, and advanced AI patterns to automate complex debugging and system diagnostics.

- Drive AI-native development practices across apps, tooling, and platform engineering.

- Partner across engineering teams to embed intelligent automation into CI/CD, DevOps, and support workflows.

- Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce.

- Your work will directly shape how client builds, monitors, and operates its AI-powered platform.

- Build the AI Platform tooling, automation, and agentic frameworks that power next-generation applications and operational intelligence at Client.

- The team drives AI-first application development, intelligent DevOps tooling, and agent-based productivity systems.

- We enable engineering teams across the company to leverage AI responsibly and effectively.

- We partner with AI research, platform engineering, cloud operations, and product teams to integrate observability and automation into the core platform.

- We collaborate with colleagues who share a commitment to leveraging AI responsibly, ensuring our people and customers benefit from the opportunities AI creates.

- This team plays a foundational role in advancing Client's AI-first strategy by transforming how software is built and operated.





Required Qualifications

- 8+ years of experience in software engineering with deep exposure to AI/ML systems in production environments.

- Proven experience building RAG based systems, AI agents, LLM-driven systems, or autonomous workflows-not just consuming AI APIs.

- Proven experience in using Agentic AI frameworks like Langchain, Langgraph, MS Agentic AI Framework, Crew AI, Google ADK (expertise in at least one).

- Robust programming expertise in Python (required) and at least one of Java or React.

- Experience building with OCR & Text Extraction technologies.

- Experience building document management or enterprise content management.

- Experience building agentic systems for observability, automated remediation, or intelligent diagnostics (ideal background from AI-native or data observability or product organizations).

- Knowledge of OpenTelemetry, LiteLLM, ARIZE, distributed tracing systems, or similar observability stacks.

- Experience working with distributed systems, telemetry data, and observability architectures.

- Foundational AI skills, including prompt engineering, model evaluation, agent orchestration, reasoning frameworks, and the ability to apply AI to improve engineering and operational outcomes.

- Hands-on experience integrating LLMs into production workflows with proper guardrails and evaluation mechanisms.

- Strong understanding of AI-assisted development tooling and productivity optimization.

- Experience designing multi-step reasoning workflows and autonomous decision agents.

- A systems-thinking mindset that connects AI models, data pipelines, and operational workflows end-to-end.

Skills

- Agentic AI

- Full Stack Development

- Java

- Python (Anaconda) AI/ML

- React JavaScript

📌 Lead Analyst - Agentic AI Engineer (Hyderabad)
🏢 CGI
📍 Hyderabad