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.
- Strong 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