We are looking for a Mid-Level AI/ML Engineer to design, develop, and deploy machine learning and Generative AI solutions. The role focuses on building LLM-powered applications, RAG pipelines, and AI services while working closely with product, backend, and data teams. Key Responsibilities: • AI / ML & Generative AI Develop and implement machine learning and NLP models for real-world applications. Build Generative AI applications using LLMs such as OpenAI, Llama, and Mistral. Design and optimize Retrieval-Augmented Generation (RAG) pipelines. Work with embedding models, prompt engineering, and model fine-tuning. Apply ML techniques like classification, regression, clustering, and dimensionality reduction. Develop LLM workflows using LangChain and LangGraph. Work on agent-based and multi-agent systems, including basic A2A communication. Experiment with CrewAI and agent orchestration frameworks. • Backend & API Development Build and maintain AI-backed APIs using FastAPI, Flask, or Django. Integrate ML models into applications with scalable REST services. • Data & Databases Work with data using Python, SQL, PostgreSQL, and ArangoDB. Perform data processing and analysis using Pandas and NumPy. Use vector databases such as FAISS, Milvus, or Chroma. • Deployment & MLOps Containerize and deploy AI services using Docker. Use Git and Linux for version control and development workflows. Support on‑premise deployments and basic model monitoring. • Security & Access Control Implement RBAC, authentication, and authorization using JWT and SSO. Follow secure coding and data‑protection best practices. Required Skills: • Programming: Python, SQL • ML & AI: Scikit-learn, PyTorch or TensorFlow • Generative AI: LLMs, RAG pipelines, prompt engineering • Frameworks: LangChain, LangGraph, HuggingFace • Backend: FastAPI / Flask / Django • Databases: PostgreSQL, ArangoDB, Vector DBs • Tools: Docker, Git, Linux • Data & Visualization: Pandas, NumPy, Matplotlib, Power BI Education: • Bachelor’s degree in Computer Science, AI, Data Science, or related field • 5–8 years of experience in AI/ML or Data Science roles