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 experiencedAI 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 ofAI 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.
Collaboration Innovation
- 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
- 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.)
Backend Development
- Java 8+/11+/17+
- Spring Boot
- REST APIs Microservices Architecture
- API Integration
Frontend Development
- React.js / Angular / Modern JavaScript Frameworks
- HTML5, CSS3, JavaScript, TypeScript
Quality Engineering
- Playwright Automation
- API Testing
- Test Automation Framework Design
- Functional Regression Testing
- CI/CD Testing Practices
Cloud DevOps
- Azure / AWS / GCP
- Docker Kubernetes
- CI/CD Pipelines
- Git, GitHub, Azure DevOps