Job Summary We are seeking an experienced Generative Agentic AI Developer with 7 years of IT experience including strong expertise in Large Language Models LLMs Retrieval-Augmented Generation RAG and agent-based AI systems This role focuses on developing and deploying advanced GenAI applications and autonomous Agentic AI workflows that enable intelligent automation reasoning and decision-making The ideal candidate will have hands-on proficiency with Python AI ML frameworks multi-agent orchestration platforms prompt engineering and cloud-native environments to ensure scalable secure and production-ready solutions In this Role Your Responsibilities Will Be Design fine-tune and deploy advanced GenAI models LLMs Diffusion GANs VAEs Transformers GNNs for multimodal NLP and autonomous agentic applications Engineer end-to-end RAG pipelines and multi-agent workflows using LangChain AutoGen Copilot MCP Integrate vector DBs PostreSQL Pinecone Weaviate Chroma FAISS Redis and graph DBs Neo4j Postgres pgvector for semantic retrieval and contextual reasoning Optimize foundation models GPT-4 LLaMA Mistral Falcon via prompt engineering RLHF LoRA quantization and hyperparameter tuning Build scalable AI solutions using Azure AI ML preferred with containerized deployments Docker Kubernetes Apply MLOps best practices CI CD model versioning drift detection observability and lifecycle management with MLflow Kubeflow Airflow and monitoring tools Develop secure AI pipelines and APIs with Python FastAPI Flask RBAC OAuth2 JWT and encryption standards Conduct model optimization prompt engineering hyperparameter tuning cross-validation and performance monitoring Use tools like Azure Machine Learning OpenAI API HuggingFace or custom PyTorch TensorFlow-based models Implement AI safety bias mitigation interpretability SHAP LIME and compliance guardrails GDPR HIPAA ISO Collaborate with cross-functional teams to deliver enterprise-grade copilots assistants and reusable AI components Document AI design model workflows and deployment pipelines for audit readiness and knowledge sharing Build scalable AI applications using MLOps CICD containerization Docker Kubernetes and deploy on Azure AI Infrastructure preferred or AWS if needed Bachelor s or Master s degree in Computer Science Data Science Statistics Mathematics or a related field over 7 years Proven experience as a Gen AI Developer or in a similar role and proficiency in Python Strong Experience with Agentic Solution Development RAG Deep Learning Prompt Engineering Natural Language Processing NLP computer vision optimization while maintaining performance techniques Robust understanding and practical knowledge of LLMs embeddings RAG and Vector Search Proficient in prompt engineering and conversational AI solution design Experience with AI on Azure must including Azure OpenAI Azure ML and related services Deep hands-on experience in Python CUDA SQL proficient with TensorFlow PyTorch Keras Familiarity with security bias mitigation and responsible AI frameworks Experience with MLOps practices and tools for deploying tracking and updating models Knowledge of ML algorithms e g CNNs RNNs SVMs Random Forests k-NN Naive Bayes Excellent problem-solving communication and team collaboration skills Qualifications Preferred Qualifications Certifications in AI ML from Microsoft AWS or Coursera edX Exposure to enterprise use cases in industries such as manufacturing finance and other Experience with AutoML LLMOps and performance benchmarking tools Understanding of semantic search knowledge graphs and contextual recommendation engines Hands on MLOps experience with an appreciation of the end-to-end CI CD process Certified in Azure AI Fundamentals AI-900 Azure AI Engineer Associate AI-102 Azure Developer Associate Experience with big data technologies

📌 Sr. Gen Ai Developer (Maharashtra)
🏢 Emerson
📍 Maharashtra