Gen AI Engineer

Tata Consultancy Services; Jersey City (NJ); On-site; USD 70,000 - 80,000; Full time

Job summary

Tata Consultancy Services is looking for a skilled Python Developer in Jersey City, New Jersey. This role requires expertise in developing object-oriented applications and working with advanced AI solutions. The ideal candidate will manage GenAI projects and collaborate with cross-functional teams.

Applicants should have experience in Python, Vector Databases, and API-driven applications. The position offers a yearly salary between $70,000 and $80,000 with opportunities for professional growth in a dynamic environment.

Qualifications

• Experience with GenAI lifecycle management and RAG pipelines.
• Expertise in prompt engineering and AI safety techniques.
• Hands-on experience with API integrations.

Responsibilities

• Develop object-oriented applications using Python.
• Work with Vector Databases for optimization.
• Collaborate with DevOps teams using enterprise tools.

Skills

Python

Vector DB

Django

Flask

FastAPI

Kafka

Containerization

Education

Bachelor of Computer Science

Tools

Docker

Kubernetes

OpenShift

Job description

• Develop object-oriented applications using Python with expert-level software engineering practices.
• Work with Vector Databases for embedding storage and retrieval optimization.
• Design and implement GenAI lifecycle management and RAG pipelines (chunking, embedding, retrieval, re-ranking, summarization) for banking use cases.
• Evaluate and test embedding models and frameworks for performance, latency, memory, and cost optimization.
• Apply prompt engineering, hallucination mitigation, and grounding techniques for AI solutions.
• Build API-driven applications using FastAPI, API Gateway, and integrate with MongoDB, Redis, and front-end frameworks (Angular/React).
• Develop utilities, automation frameworks, and data pipelines to support AI/ML and GenAI initiatives.
• Create monitoring dashboards and automation scripts for system health and performance.
• Collaborate with DevOps teams using enterprise tools (Git/Bitbucket, Jenkins, SonarQube, Artifactory, Ansible).
• Work with large cross-functional teams to deliver secure, compliant, and scalable solutions.
• Explore Agentic architectures for orchestration and multi-step reasoning in AI workflows.
  
  

Job Description

Key Responsibilities

• Develop object-oriented applications using Python with expert-level software engineering practices.
• Work with Vector Databases for embedding storage and retrieval optimization.
• Design and implement GenAI lifecycle management and RAG pipelines (chunking, embedding, retrieval, re-ranking, summarization) for banking use cases.
• Evaluate and test embedding models and frameworks for performance, latency, memory, and cost optimization.
• Apply prompt engineering, hallucination mitigation, and grounding techniques for AI solutions.
• Build API-driven applications using FastAPI, API Gateway, and integrate with MongoDB, Redis, and front-end frameworks (Angular/React).
• Develop utilities, automation frameworks, and data pipelines to support AI/ML and GenAI initiatives.
• Create monitoring dashboards and automation scripts for system health and performance.
• Collaborate with DevOps teams using enterprise tools (Git/Bitbucket, Jenkins, SonarQube, Artifactory, Ansible).
• Work with large cross-functional teams to deliver secure, compliant, and scalable solutions.
• Explore Agentic architectures for orchestration and multi-step reasoning in AI workflows.
  
  

________________________________________

Required Skills & Experience

• Primary Skill: Python
• Secondary Skills: Vector DB, Django, Flask, FastAPI, KAFKA, Containerization (OpenShift, Docker etc.)
• Knowledge in GenAI lifecycle management and RAG pipelines.
• Expertise in prompt engineering and AI safety techniques.
• Hands-on experience with FastAPI, containerization (Docker/Kubernetes), and API integrations.
• Understanding of DevOps practices and enterprise tooling.
• Understanding of Kafka queue integration and configurations.
• Ability to deploy python code on to containers using OpenShift and docker etc.
• Ability to work effectively with large cross-functional teams in a regulated environment.
  
  

Salary Range: $70,000 to $80,000 per year

Qualifications: BACHELOR OF COMPUTER SCIENCE