Role & responsibilities
Architect and develop agentic workflows enabling multi-agent orchestration across GenAI applications.
Robust hands-on experience with Python (3.83.12), backend development, REST APIs, and Microservices.
Experience integrating and evaluating LLMs such as GPT-4, GPT-5, Claude, and Llama using frameworks like OpenAI Responses API and LangChain.
Expertise in Prompt Engineering, LLM optimization, analytics feedback systems, and AI-powered application development.
Solid experience with AWS, Docker, Kubernetes, CI/CD pipelines, infrastructure as code, observability, and security best practices.
Experience with fraud detection, intelligent automation, and conversational AI platforms.
Exposure to multi-agent frameworks and parallel model onboarding.
Experience with Confluence, release planning, and PR tracking systems.
Knowledge of RBAC, audit logging, and governance controls for AI/ML systems.
Experience with automated testing frameworks, code reviews, and beta client deployments.





Preferred candidate profile
Design and architect agentic workflows supporting multi-agent orchestration across Experian Assistant features.
Design, optimize, and evaluate prompts for LLM-powered solutions and analytics feedback systems.
Integrate and evaluate LLMs including GPT-4, GPT-5, Claude, and Llama for enterprise AI use cases.
Collaborate with engineering teams to deliver latency-optimized solutions and support parallel model onboarding.
Ensure code quality through automated testing, peer code reviews, and CI/CD practices.
Maintain deployment pipelines and support beta client testing, glossary expansion, and sandbox integrations.
Contribute to deployment documentation, release planning, and knowledge management using Confluence and internal tools.
Implement security, RBAC, audit logging, observability, and version control best practices for AI/ML solutions.

📌 Machine Learning Software Engineer Genai Applications Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad