30 Jul
|
Techify Solutions
|
India
30 Jul
Techify Solutions
India
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: Robust Python programming skills Robust 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 & Adaptable work hours Growth-focused journey with regular rewards and recognition Focus on learning & development Competitive, goal-driven culture
📌 Gen Ai Engineer Ahmedabad (India)
🏢 Techify Solutions
📍 India