AI Engineer
On-siteMadhapur, State of Telangāna, Republic of India
Job Summary
Design, develop, and deploy artificial intelligence, machine learning, and full-stack solutions that solve real business challenges. Build and optimize machine learning pipelines for training, testing, deployment, and monitoring while fine-tuning, evaluating, and monitoring AI models to ensure accuracy, reliability, and cost efficiency. Implement Retrieval-Augmented Generation, prompt engineering, embeddings, and vector database solutions to develop and integrate AI-powered copilots and intelligent assistants. Develop responsive front-end applications using React.js and scalable backend services with Node.js, NestJS, or Express, integrating them with databases like MongoDB and SQL. Deploy containerized applications using Docker and Kubernetes on cloud platforms such as Microsoft Azure, AWS, or Google Cloud, maintaining CI/CD pipelines and MLOps practices. Collaborate with cross-functional teams to identify AI use cases, prepare technical designs, and ensure solutions comply with security, privacy, and responsible AI standards.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
- 1+ years of experience in AI/ML development, software engineering, Generative AI, or a related field
- Strong programming skills in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Strong knowledge of Generative AI technologies, LLMs, prompt engineering, RAG architectures, embeddings, and vector search
- Good programming experience in JavaScript/TypeScript
- Hands-on experience with React.js for developing modern web applications
- Hands-on experience with Node.js and backend frameworks such as Express.js or NestJS
- Experience working with APIs, databases, and cloud platforms
- Experience with MongoDB and/or SQL-based databases
- Understanding of MLOps practices, model deployment, monitoring, and CI/CD
- Understanding of Docker and containerized application deployment
- Strong analytical, problem-solving, debugging, and communication skills
- Ability to work collaboratively with product, business, engineering, and DevOps teams
Desired Qualifications
- Experience with Azure AI Services, Azure OpenAI Service, Microsoft Copilot Studio, or Microsoft Fabric
- Hands-on expertise with vector databases such as Pinecone, Weaviate, Azure AI Search, or similar technologies
- Experience with LangChain, AI Agents, and Agentic AI architectures
- Experience building enterprise AI copilots, intelligent assistants, recommendation systems, or automation solutions
- Strong experience with React.js, Node.js, NestJS, Express.js, and MongoDB
- Familiarity with containerization technologies such as Docker and Kubernetes
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud
- Experience implementing enterprise AI governance and responsible AI practices
- Experience with CI/CD pipelines and cloud-native application development
- AI/ML or cloud certifications are a plus
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