Ai Engineer Developer Salary Jobs (NOW HIRING)

Job Summary:
Tata Consultancy Services is looking for an Agentic AI Engineer / Developer to design and implement advanced AI workflows leveraging LLMs and orchestration frameworks. The role involves creating scalable solutions, integrating agents with enterprise systems, and optimizing performance while ensuring safety controls and observability.
Responsibilities:
• 10+ years hands-on experience with LLMs, multi-agent orchestration, and AI frameworks to create scalable, reliable agentic solutions.
• Design and implement agentic AI workflows using LLMs, tools, memory, and orchestration frameworks.
• Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies.
• Integrate agents with enterprise systems (APIs, databases, ticketing, knowledge bases, and messaging tools).
• Develop prompt templates, tool schemas, and context management patterns for reliable task execution.
• Establish observability for agent runs: traces, latency, token usage, cost, and failure analytics.
• Implement safety controls including policy checks, output validation, and human-in-the-loop approvals.
• Optimize agent performance through eval sets, benchmark scenarios, and continuous tuning.
• Build modular components for planner-executor patterns, retrieval, and decision routing.
• Harden production deployments with authentication, authorization, and secure secret handling.
• Troubleshoot hallucinations, tool misuse, and context-window issues using systematic diagnostics.
• Collaborate with product and operations teams to convert business workflows into automatable agent tasks.
• Maintain developer documentation and best practices for scalable, maintainable agent systems.
Qualifications:
Required:
• Agentic AI workflows using LLMs, tools, memory, and orchestration frameworks, Agile concepts, CI/CD
• 10+ years’ experience
• 10+ years hands-on experience with LLMs, multi-agent orchestration, and AI frameworks to create scalable, reliable agentic solutions.
• Design and implement agentic AI workflows using LLMs, tools, memory, and orchestration frameworks.
• Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies.
• Integrate agents with enterprise systems (APIs, databases, ticketing, knowledge bases, and messaging tools).
• Develop prompt templates, tool schemas, and context management patterns for reliable task execution.
• Establish observability for agent runs: traces, latency, token usage, cost, and failure analytics.
• Implement safety controls including policy checks, output validation, and human-in-the-loop approvals.
• Optimize agent performance through eval sets, benchmark scenarios, and continuous tuning.
• Build modular components for planner-executor patterns, retrieval, and decision routing.
• Harden production deployments with authentication, authorization, and secure secret handling.
• Troubleshoot hallucinations, tool misuse, and context-window issues using systematic diagnostics.
• Collaborate with product and operations teams to convert business workflows into automatable agent tasks.
• Maintain developer documentation and best practices for scalable, maintainable agent systems.
• Experience with LLMs and fine-tuning concepts
• Knowledge of: Embeddings
• Knowledge of: Tokenization
• Knowledge of: Context windows
• Knowledge of: Evaluation techniques for agent performance
• Understanding of AI safety, hallucination mitigation, and guardrails
• Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
• Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly.
• BACHELOR OF COMPUTER SCIENCE
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.