About the job:

AI Engineer - RAG & Agentic AI Location: Hyderabad Experience: 6+ Years Role: AI Engineering / Generative AI / Agentic AI

Job Overview:

We are looking for an experienced AI Engineer with 6+ years of software engineering experience and strong hands-on expertise in Generative AI, RAG pipelines, prompt engineering, and agentic AI development. The ideal candidate should have experience building production-grade AI solutions using models such as GPT-4, Claude, and other modern LLM platforms. The candidate will work across AI engineering and application development, integrating LLM capabilities with enterprise applications, APIs, databases, and modern web technologies.

Key Responsibilities:

- Design, develop, and deploy scalable Generative AI and LLM-powered applications.

- Build end-to-end Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, preprocessing, chunking, embedding, retrieval, context management, and response generation.

- Develop and optimize prompt engineering strategies for accuracy, relevance, reliability, and consistent model behavior.

- Design and implement agentic AI solutions capable of reasoning, tool calling, task orchestration, and multi-step workflows.

- Work with LLMs such as GPT-4, Claude, and other foundation models to develop enterprise AI capabilities.

- Integrate LLMs with enterprise APIs, databases, business applications, and external services.

- Develop AI services and supporting backend components using Python, Java, or Node.js.

- Build APIs and application integrations using JSON, REST, and other modern integration technologies.

- Develop scalable frontend experiences using React and JavaScript for AI-powered applications where required.

- Work with SQL databases to retrieve, analyze, and integrate structured enterprise data into AI workflows.

- Design reusable AI components, frameworks, and services that can be leveraged across multiple use cases.

- Implement appropriate evaluation, testing, monitoring, and optimization mechanisms for AI applications.

- Collaborate with architects, software engineers, data engineers, product teams, and business stakeholders to deliver production-ready solutions.

- Participate in technical design, code reviews, documentation, testing, deployment, and production support.

Required Skills & Experience:

- 6+ years of software engineering and application development experience.

- Strong hands-on experience in AI Engineering / Generative AI / LLM application development.

- Proven experience building RAG pipelines and LLM-powered applications.

- Strong knowledge of Prompt Engineering and LLM optimization techniques.

- Hands-on experience with Agentic AI development, AI agents, tool calling, workflow orchestration, or multi-step reasoning.

- Experience working with GPT-4, Claude, or comparable LLM platforms.

- Strong programming experience in Python and at least one enterprise programming language such as Java, C#, or Node.js.

- Good experience with JavaScript and React.

- Strong understanding of REST APIs, JSON, SQL, and enterprise integrations.

- Ability to design scalable, maintainable, and secure AI-enabled applications.

- Strong problem-solving, analytical, communication, and collaboration skills.

Technology Stack:

- AI/GenAI: RAG, Prompt Engineering, Agentic AI, GPT-4, Claude, LLMs

- Languages: Python, Java, JavaScript, C, Swift, .NET, Node.js

- Frontend: React

- Data & Integration: SQL, JSON, REST APIs

- Application Development: Enterprise APIs, AI-powered applications, workflow orchestration

Good to Have:

- Experience with vector databases and embedding technologies.

- Knowledge of RAG evaluation, LLM observability, and AI application testing.

- Experience with LangChain, LangGraph, Semantic Kernel, or similar AI frameworks.

- Exposure to cloud platforms such as AWS, Azure, or GCP.

- Experience with Docker, Kubernetes, and CI/CD.

- Understanding of AI security, responsible AI, data privacy, and enterprise governance.

Education:

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.