GenAI Engineer, Software Specialist Engineer

GenAI Engineer Software Specialist Engineer II

Experience: 5.5-8.5 Years
Location: Hyderabad / Bengaluru

Job Description:

We are looking for a GenAI Engineer with strong software engineering experience to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate should have hands-on experience in Generative AI, AI/ML, LLMs, Python, Cloud, and modern software development practices.

Skills Required:

• 5.5+ years of Software Engineering/AI experience with minimum 2 years in GenAI.
• Strong in Python, OOPs, Data Structures & Algorithms.
• Hands-on experience with OpenAI, Claude, Gemini, LangChain, AI Agents, RAG, Prompt Engineering, Fine-tuning, Vector Databases.
• Experience in TensorFlow, PyTorch, Keras, NLP, Machine Learning.
• Knowledge of React, Angular, Node.js, Java, C#, .NET Core, Golang.
• Experience with SQL/NoSQL, REST APIs, Microservices.
• Cloud experience on Azure, AWS, or GCP.
• Good understanding of Agile, DevSecOps, CI/CD, GitHub, Azure DevOps, SonarQube, SRE.
• Experience in designing, developing, testing, deploying, and supporting scalable AI applications.
• Strong communication, collaboration, and problem-solving skills.

Key Responsibilities

• Design, develop, test, deploy, and maintain enterprise-grade GenAI applications.
• Build intelligent AI Agents, Agentic AI workflows, and Retrieval-Augmented Generation (RAG) solutions.
• Develop scalable backend services and APIs using Python and modern programming languages.
• Work extensively with OpenAI, Azure OpenAI, Claude, Gemini, and open-source LLMs.
• Implement Prompt Engineering, Fine-Tuning, Embeddings, Vector Search, and LLM Optimization techniques.
• Build applications using LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, AutoGen, or similar AI frameworks.
• Design and integrate Vector Databases such as Pinecone, ChromaDB, FAISS, Milvus, Weaviate, or Azure AI Search.
• Develop NLP, Machine Learning, and Deep Learning models where required.
• Translate business requirements into scalable technical solutions.
• Create technical specifications and deliver high-quality, maintainable, reusable, and scalable code.
• Perform code reviews, unit testing, debugging, integration testing, and production support.
• Ensure software quality, performance, security, and maintainability throughout the SDLC.
• Build cloud-native applications using Microservices, Containers, APIs, and Event-driven architectures.
• Collaborate with Product Managers, Architects, UX Designers, DevOps Engineers, QA, and Business Teams.
• Follow Agile, Scrum, Lean, XP, SAFe, DevSecOps, CI/CD, and SRE methodologies.
• Work with GitHub, Azure DevOps, SonarQube, Jenkins, Git, and automated deployment pipelines.
• Participate in continuous learning and adopt emerging AI/ML technologies.
• Drive engineering excellence, innovation, technical quality, and customer-centric product delivery.