Agentic AI Engineer / Developer

Tata Consultancy Services Limited
Charlotte, NC, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$110,000.0 - $125,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Databases Continuous Integration Software Deployment Tokenization Large Language Models Multi-Agent Systems Kubernetes Information Technology Virtual Agents

Job description

  • 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 o Knowledge of:

o Embeddings o Tokenization o Context windows

  • Evaluation techniques for agent performance

  • Understanding of AI safety, hallucination mitigation, and guardrails

Generic Managerial Skills, If any

  • Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.

Requirements

Do you have experience in Continuous integration?, Do you have a Bachelor’s degree?, Agentic AI workflows using LLMs, tools, memory, and orchestration frameworks, Agile concepts, CI/CD 10+ years’ experience Roles & 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., * Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly., Qualifications : BACHELOR OF COMPUTER SCIENCE

Benefits & conditions

Pulled from the full job description

  • Pet insurance
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Commuter assistance, Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $110,000-$125,000 a year

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