Trupti Solutions

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.Job Type : Hybrid, Full-Time.Primary Work Location : Pune.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.Qualifications : - 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.- Strong 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, Na- ve Bayes).- Excellent problem-solving, communication, and team collaboration skills.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. (ref:hirist.tech)