Gen AI Developer

We are looking for an experienced Generative AI Developer to design, develop, and deploy AI-powered applications and solutions using Large Language Models (LLMs), Generative AI, Python, and modern AI frameworks., * Design, develop, and deploy Generative AI and LLM-based applications.

• Build AI-powered applications using Python and modern AI/ML frameworks.
• Integrate commercial and open-source LLMs such as OpenAI GPT, Azure OpenAI, Claude, and Gemini.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise data.
• Implement prompt engineering, prompt optimization, and LLM evaluation techniques.
• Work with embeddings, vector databases, semantic search, and document retrieval.
• Develop APIs and backend services to integrate GenAI capabilities into enterprise applications.
• Build conversational AI, intelligent assistants, document-processing, summarization, classification, and question-answering solutions.
• Implement LLM evaluation, monitoring, security, and performance optimization.
• Work with structured and unstructured data sources to support AI applications.
• Collaborate with data scientists, software engineers, product managers, and business stakeholders.
• Deploy and maintain AI solutions in cloud environments.
• Follow best practices for AI security, data privacy, responsible AI, and governance.

The ideal candidate will have hands-on experience building production-ready GenAI solutions, working with LLMs such as OpenAI GPT, Azure OpenAI, Claude, or Gemini, and developing applications using techniques such as RAG, prompt engineering, embeddings, and vector databases., * Strong hands-on experience with Generative AI / GenAI / LLMs.

• Strong programming experience with Python.
• Experience working with OpenAI / GPT, Azure OpenAI, Claude, or Gemini.
• Strong understanding of Large Language Models (LLMs).
• Hands-on experience with RAG (Retrieval-Augmented Generation).
• Experience with Prompt Engineering.
• Experience with Embeddings and Vector Databases.
• Knowledge of REST APIs and backend application development.
• Experience with AI/ML frameworks and libraries.
• Strong understanding of NLP and machine learning concepts.
• Experience working with cloud platforms such as AWS, Azure, or GCP.