Generative AI Engineer

What you'll work on

• Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs)
• Build AI-powered applications such as chatbots, copilots, summarization tools, and intelligent automation systems
• Integrate Generative AI models with Java or .NET–based backend systems
• Work with APIs and SDKs from LLM providers (OpenAI, Azure OpenAI, Anthropic, etc.)
• Implement prompt engineering , fine-tuning, and RAG (Retrieval-Augmented Generation) pipelines
• Collaborate with product, data, and cloud teams to deliver scalable AI solutions
• Ensure performance, security, and scalability of AI-driven applications
• Stay updated with emerging trends in Generative AI and apply best practices

Required Skills & Qualifications:

• Strong experience as a Java Developer or .NET Developer (minimum 3–5 years)
• 2–3 years of hands-on experience in Generative AI development
• Proficiency with LLMs , prompt engineering, and AI workflows
• Experience with Python for AI/ML development
• Hands-on experience with frameworks like LangChain, LlamaIndex, Semantic Kernel , or similar
• Knowledge of REST APIs , microservices, and cloud-based architectures
• Familiarity with vector databases (Pinecone, FAISS, Chroma, Azure AI Search, etc.)
• Experience working on Azure, AWS, or GCP environments
• Strong problem-solving and communication skills

Good to Have:

• Experience with MLOps / AIOps practices
• Knowledge of AI model fine-tuning and evaluation techniques
• Exposure to CI/CD pipelines and containerization (Docker, Kubernetes)
• Understanding of data privacy, security, and AI governance