AI Engineer
Job Description
Coforge Ltd. seeks an AI Engineer to join its New Jersey onsite team, shaping the next generation of enterprise AI solutions. This role centers on designing, building, and deploying AI powered applications and agentic workflows in production, employing LLMs, retrieval augmented generation, and careful prompt engineering. You will collaborate with AI architects, software developers across Java and frontend, and QA specialists to deliver scalable, reliable AI-driven platforms.
Responsibilities
- Design, develop, and deploy AI powered applications using modern large language model technologies.
- Create and implement agentic workflows by leveraging AI agents, orchestration frameworks, and automation platforms.
- Develop Retrieval-Augmented Generation pipelines using vector databases and enterprise knowledge sources.
- Conduct prompt engineering, optimization, and model evaluation to improve 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.
- Develop backend services and APIs using Java based frameworks.
- Build responsive, 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.
- 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.
Requirements
- Prompt Engineering
- Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)
- Agentic AI Frameworks
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Model Evaluation and Optimization
- Fine-tuning Concepts
- AI Application Development
- AI Orchestration Frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, etc.)
- Java 8+/11+/17+
- Spring Boot
- REST APIs Microservices Architecture
- API Integration
- React.js / Angular / Modern JavaScript Frameworks
- HTML5, CSS3, JavaScript, TypeScript
- Playwright Automation
- API Testing
- Test Automation Framework Design
- Functional Regression Testing
- CI/CD Testing Practices
- Azure / AWS / GCP
- Docker Kubernetes
- CI/CD Pipelines
- Git, GitHub, Azure DevOps
Technologies
- Java
- Playwright
- React.js
- Angular
- HTML5
- CSS3
- JavaScript
- TypeScript
- Spring Boot
- REST APIs
- Microservices Architecture
- OpenAI
- Azure OpenAI
- Anthropic
- Gemini
- LangChain
- LangGraph
- Semantic Kernel
- CrewAI
- AutoGen
- Retrieval-Augmented Generation
- Vector Databases
- Docker
- Kubernetes
- Azure
- AWS
- GCP
- Git
- GitHub
- Azure DevOps