AIML Engineer

Tata Consultancy Services; Milford (OH); On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage: Health

Dental & Vision

Disability Planning & Insurance

Commuter Benefits

Certification & Training Reimbursement

Vacation & Holidays

Job summary

Tata Consultancy Services (TCS) is seeking an engineering leader to build and deploy production-grade backend systems in Python and craft LLM-powered applications. You will architect RAG pipelines and agentic workflows, leveraging embeddings and vector databases to deliver scalable AI solutions.

You will design multi-step, tool-using agents, integrate AI with APIs and cloud platforms, and establish robust evaluation and performance strategies across latency, accuracy, and cost concerns.

Qualifications

• Strong Python expertise for production backend systems.
• Hands-on experience building applications with LLMs, including prompt engineering.
• Proven experience with RAG architectures, embeddings, and vector databases.
• Experience with agentic frameworks like LangChain, LangGraph, AutoGen.
• Strong system design skills for cloud-based applications.

Responsibilities

• Architect and deliver end-to-end LLM-powered applications and agentic workflows.
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi-step, tool-using agents with planning, execution, memory.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost).

Skills

Python backend development

LLM application development

RAG architectures and vector databases

Agentic frameworks (LangChain; LangGen

Education

Bachelor of Computer Science or related field

Tools

LangChain

LangGraph

AutoGen

Job description

Job Description

Build and deploy production‑grade backend systems in Python, create LLM‑powered applications, and architect RAG pipelines and agentic workflows. This role focuses on developing cutting‑edge AI solutions.

Responsibilities

• 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, LangGraph, AutoGen
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

Required Skills & 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
• Bachelor of Computer Science or related field

Salary Range

$140,000–$165,000 a year

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