LLM Engineer: End-to-End AI Apps & RAG

Job Responsibilities & Qualifications Strong Python expertise with experience building and deploying production‑grade backend systems. Hands‑on experience developing applications using LLMs, including prompt engineering and orchestration. Proven experience with RAG architectures, embeddings, and vector databases. Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen). Strong system design skills with experience building and scaling cloud‑based applications. Architect and deliver end‑to‑end LLM‑powered applications and agentic workflows using Python. Design and implement RAG pipelines over enterprise data using embeddings and vector databases. Build multi‑step, tool‑using agents (planning, execution, memory) using frameworks such as LangChain. Integrate AI systems with APIs, backend services, and cloud platforms. Establish evaluation, reliability, and performance strategies (accuracy, latency, cost). Salary and Benefits Salary Range: $95,000-$165,000 a year 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. Location Mason, OH #J-18808-Ljbffr Tata Consultancy Services Limited