Gen AI Developer

We are seeking Generative AI Developers with strong Python programming and AI/ML expertise to build, deploy, and optimize LLM-powered applications. The role involves developing RAG solutions, AI agents, and enterprise GenAI applications while collaborating with cross-functional teams.Key ResponsibilitiesDevelop and enhance Generative AI applications using LLMs and AI frameworks.Build and optimize RAG pipelines, vector search, and AI-powered workflows.Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.Develop REST APIs and integrate AI capabilities into enterprise applications.Deploy, monitor, and maintain AI solutions in cloud and containerized environments.Ensure code quality through testing, debugging, documentation, and code reviews.Follow Responsible AI, security, and data governance practices.Required Technical SkillsStrong proficiency in Python, OOP, APIs, debugging, and software development best practices.Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.Experience with PyTorch, TensorFlow, or Keras.Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).Understanding of AI governance, data privacy, and Responsible AI principles.Preferred SkillsExperience with Agentic AI frameworks (CrewAI, AutoGen, Semantic Kernel).Exposure to Azure AI Foundry, Databricks, or enterprise AI platforms.Knowledge of multimodal AI applications.QualificationsBachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.5 years of software development experience, including AI/ML or Generative AI projects.Experience building and deploying production-grade AI solutions. Assessment Focus AreasCandidates will be evaluated on:Python coding and problem-solvingData Structures & AlgorithmsLLMs, RAG, and Agentic AI conceptsAPI development and system designCloud deployment and AI solution architecture