Gen AI Engineer

Designation: Gen AI Engineer Experience: 3 - 5 Years Location: Ahmedabad Priority: Immediate joiners preferred Job Summary: We are seeking an Gen AI Engineer with 3+ years of experience in building and deploying intelligent systems. The role focuses on developing scalable ML solutions, optimizing models, and solving real-world business problems. Key Responsibilities: Design, develop, train, evaluate, and deploy ML/DL models Work on classification, regression, clustering, NLP, and recommendation systems Perform data preprocessing, feature engineering, hyperparameter tuning, and model optimization Hands-on experience with AI tools and developer productivity tools such as n8n, Cursor, Claude, ChatGPT, GitHub Copilot, and similar AI-assisted automation/coding platforms Experience using AI tools effectively for automation, development workflows, debugging, code generation, and productivity enhancement Build and fine-tune Generative AI models (LLMs, VAEs, diffusion models) using Hugging Face, LangChain, OpenAI, LlamaIndex Develop RAG pipelines, prompt engineering workflows, and embedding-based search systems Build Multi-Agent Systems and agent workflows using CrewAI, LangGraph, AutoGen, etc.

Integrate AI solutions into scalable production systems Monitor model performance, accuracy, latency, and reliability Collaborate with cross-functional teams and stay updated with latest AI/ML advancements Requirements: Strong Python programming skills Strong understanding of ML concepts: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or Keras Practical experience in: Model training & fine-tuning LLMs & Generative AI RAG architecture Prompt Engineering Embeddings & Vector Search Experience with vector DBs: Pinecone, Weaviate, Chroma, FAISS Experience with LangChain, LlamaIndex, OpenAI APIs Knowledge of Multi-Agent/Agentic AI systems Experience with FastAPI/Flask model deployment Familiarity with AWS/GCP/Azure Knowledge of Git and MLOps tools (MLflow, Airflow, Kubeflow) Basic understanding of Spark/Hadoop and ETL pipelines What we offer: 5-day work week & Flexible work hours Growth-focused journey with regular rewards and recognition Focus on learning & development Competitive, goal-driven culture . Skillset Required: Building and deploying intelligent systems, Developing scalable ML solutions, Optimizing models, Solving real-world business problems, Design ML/DL models, Train ML/DL models, Evaluate ML/DL models, Deploy ML/DL models, Classification, Regression, Clustering, NLP, Recommendation systems, Data preprocessing, Feature engineering, Hyperparameter tuning, Model optimization, AI tools, Developer productivity tools, n8n, Cursor, Claude, ChatGPT, GitHub Copilot, AI-assisted automation, AI-assisted coding, Automation, Development workflows, Debugging, Code generation, Productivity enhancement, Build Generative AI models, Fine-tune Generative AI models, LLMs, VAEs, Diffusion models, Hugging Face, LangChain, OpenAI, LlamaIndex, Develop RAG pipelines, Prompt engineering workflows, Embedding-based search systems, Build Multi-Agent Systems, Agent workflows, CrewAI, LangGraph, AutoGen, Integrate AI solutions, Scalable production systems, Monitor model performance, Model accuracy, Model latency, Model reliability, Cross-functional collaboration, Python, TensorFlow, PyTorch, Scikit-learn, Keras, Model training, Fine-tuning, LLMs, Generative AI, RAG architecture, Prompt Engineering, Embeddings, Vector Search, Vector DBs, Pinecone, Weaviate, Chroma, FAISS, LangChain, LlamaIndex, OpenAI APIs, Multi-Agent AI systems, Agentic AI systems, FastAPI, Flask, Model deployment, AWS, GCP, Azure, Git, MLOps tools, MLflow, Airflow, Kubeflow, Spark, Hadoop, ETL pipelines