GenAI Engineer — Newark, DE

Job Description

Must Have Technical/Functional Skills

• Primary: Artificial intelligence, LLM

• Secondary: Retrieval-Augmented Generation (RAG), FAISS, ChromaDB, or Azure AI Search, LangChain, LangGraph, LlamaIndex, AutoGen, or Semantic Kernel

Experience: 7 to 10 yrs

Roles & Responsibilities

Job Description:

We are seeking an experienced Generative AI Engineer with proven expertise in designing, developing, deploying, and supporting AI solutions in production environments. The ideal candidate should have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, vector databases, and cloud based AI platforms. The candidate should have successfully delivered enterprise-grade GenAI applications used by business users in production.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions for enterprise business use cases.

• Build and maintain production-ready applications utilizing LLMs such as GPT, Claude, Gemini, Llama, or similar models.

• Develop RAG-based solutions using vector databases such as Pinecone, FAISS, ChromaDB, or Azure AI Search.

• Implement prompt engineering, prompt tuning, and model evaluation frameworks.

• Integrate AI applications with enterprise systems, APIs, databases, and cloud platforms.

• Monitor production AI applications for performance, accuracy, latency, and cost optimization.

• Design AI agents and workflow automation using frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or Semantic Kernel.

• Implement responsible AI controls, security, governance, and compliance requirements.

• Collaborate with business stakeholders, architects, data scientists, and engineering teams to deliver scalable AI solutions.

• Troubleshoot and resolve production issues related to AI systems.

TCS Employee Benefits Summary:

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 $90,000 - $130,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE