AI Deployment Engineer: LLM & Enterprise Integration

Tata Consultancy Services; Abel (AL); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical Coverage

401K Plan

Certification & Training Reimbursement

Job summary

Tata Consultancy Services is seeking a skilled AI and full-stack developer to convert client business problems into AI use cases and deliver end-to-end solutions. The role involves building LLM, RAG, automation, and API-based deployments in client environments.

You will integrate AI with enterprise systems, data platforms, security controls, and cloud services, supporting testing, documentation, and user enablement to drive adoption.

Qualifications

• Must have strong programming and full-stack development skills in Python and SQL.
• Experience with Java/.NET/Angular stack.
• Experience with REST APIs, GraphQL, OAuth, JWT, microservices and middleware.
• Familiarity with AI/ML, GenAI tools and LLM deployment.

Responsibilities

• Convert client business problems into clear AI use cases, technical designs, and delivery plans.
• Build and deploy LLM, RAG, automation, and API-based solutions in client environments.
• Integrate AI solutions with enterprise systems, data platforms, security controls, and cloud services.
• Drive adoption through testing, documentation, user enablement, and continuous improvement.

Skills

Python

SQL

Java/.NET/Angular

REST APIs

GraphQL

OAuth

JWT

Microservices

Middleware

OpenAI

Anthropic

Vertex AI

RAG

Prompt Engineering

Pinecone

Weaviate

Chroma

LangChain

LlamaIndex

CI/CD

Prometheus

Grafana

Logging

Performance tuning

Education

Bachelor of Computer Science

Job description

Tata Consultancy Services is seeking a skilled AI and full-stack developer to convert client business problems into AI use cases and deliver end-to-end solutions. The role involves building LLM, RAG, automation, and API-based deployments in client environments.

You will integrate AI with enterprise systems, data platforms, security controls, and cloud services, supporting testing, documentation, and user enablement to drive adoption.