AI Engineer

Coforge Limited; New Jersey; On-site; USD 110,000 - 170,000; Full time

Job summary

Coforge Limited in New Jersey seeks an AI Engineer to design, develop, and deploy AI-powered applications and agentic workflows into production environments.

The role combines AI engineering, Java backend, frontend, and QA with Playwright, focusing on LLMs, RAG pipelines, prompt engineering, and integration with enterprise systems.

Qualifications

• Experience designing, developing, and deploying AI-powered applications in production environments.
• Hands-on expertise with LLMs, RAG, prompt engineering, and AI orchestration frameworks.
• Ability to integrate AI capabilities into enterprise systems and ensure reliability.

Responsibilities

• Design, develop, and deploy AI-powered applications using modern LLM technologies.
• Build agentic workflows leveraging AI agents, orchestration frameworks, and automation platforms.
• Develop RAG pipelines using vector databases and enterprise knowledge sources.
• Perform prompt engineering, optimization, and model evaluation to improve accuracy and reliability.
• Fine-tune foundation models to meet business requirements and integrate AI into existing apps.
• Monitor, optimize, and maintain AI systems in production.

Skills

Prompt Engineering

Agentic AI Frameworks

Retrieval-Augmented Generation

Vector Databases

Model Evaluation

AI Application Development

Java

Spring Boot

API Integration

Frontend Development

Tools

Playwright

API Testing

Docker

Kubernetes

Job description

AI Engineer - Practitioners who build and deploy AI models and agentic workflows in production, including prompt engineering, fine-tuning, RAG pipelines, and AI-infused application development. These individuals design, develop, customize, and implement AI solutions for others to use. Technology - Java, Frontend and QE (Playwright).

We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications and agentic workflows into production environments. The ideal candidate will have hands-on expertise in building AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and modern application development practices.

This role requires a combination of AI engineering, Java development, Frontend development, and Quality Engineering (Playwright) to deliver scalable, reliable, and enterprise-grade AI solutions.

Key Responsibilities

AI Solution Development

• Design, develop, and deploy AI-powered applications using modern LLM technologies.
• Build and implement agentic workflows leveraging AI agents, orchestration frameworks, and automation platforms.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Perform prompt engineering, prompt optimization, and model evaluation to improve AI solution accuracy and reliability.
• Fine-tune foundation models where applicable to meet business-specific requirements.
• Integrate AI capabilities into existing enterprise applications and platforms.
• Monitor, optimize, and maintain AI systems in production environments.

Application Development

• Develop backend services and APIs using Java-based frameworks.
• Build responsive and scalable frontend applications to deliver AI-driven user experiences.
• Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions.
• Implement integrations with internal and external systems through APIs and microservices.

Quality Engineering & Testing

• Develop automated test strategies for AI-enabled applications.
• Design and execute UI and API automation using Playwright.
• Validate AI outputs through functional, regression, and performance testing.
• Establish test frameworks and quality gates for AI solutions deployed in production.
• Ensure security, performance, and reliability standards are met.
• Work closely with AI Architects, Data Scientists, Product Teams, and Business SMEs.
• Stay current with emerging AI technologies, frameworks, and industry best practices.
• Contribute to AI governance, responsible AI practices, and solution documentation.

Required Skills

AI & GenAI

• Prompt Engineering
• Agentic AI Frameworks
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Model Evaluation and Optimization
• AI Application Development
• Spring Boot
• API Integration

Frontend Development

Quality Engineering

• Playwright Automation
• API Testing
• Test Automation Framework Design
• Functional & Regression Testing
• CI/CD Testing Practices

Skills Required

AIOps

Location

New Jersey