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
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