AI Engineer

An AI Engineer focuses on integrating existing large language models (LLMs), computer vision, and machine learning tools into production-ready software systems rather than training foundational models from scratch.

Core Responsibilities

• Application Integration: Connect foundational models (like GPT, Claude, and Gemini) into software products via APIs and microservices.
• Pipeline Development: Build Retrieval-Augmented Generation (RAG) systems, vector databases, and semantic search tools.
• Deployment & MLOps: Manage model monitoring, containerization (Docker, Kubernetes), and scaling on cloud environments (AWS, GCP, Azure).
• Optimization: Implement prompt engineering, context management, and fine-tuning to improve response accuracy and lower latency.
• Collaboration: Work alongside data scientists, product managers, and software engineers to ship reliable AI features.

Interested candidates can fill the google form : https://forms.gle/K9kVooNBrUjwhfyh7

Key Skills & Qualifications

• Programming: Strong proficiency in Python and SQL.
• AI/ML Tooling: Experience with frameworks like PyTorch or TensorFlow, and orchestration libraries like LangChain or LlamaIndex.
• Data Handling: Familiarity with vector databases (Pinecone, Chroma, Milvus) and embedding models.
• Software Fundamentals: Working knowledge of REST APIs, Git/GitHub, and cloud platforms.
• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or equivalent practical experience

Pay: ₹483,000.00 - ₹1,780,000.00 per year

Work Location: In person