Key Responsibilities
Agentic System Development: Design and implement intelligent agent architectures capable of autonomous reasoning, task planning, and execution.
Computer Vision Integration: Leverage cutting-edge models (e.g., YOLO, Vision Transformers) to enable AI agents to interpret, analyze, and process visual data effectively.
Knowledge Retrieval Optimization: Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines, ensuring seamless integration of multi-modal data for context-aware responses.
Workflow Orchestration: Utilize industry-standard frameworks, including LangChain and LangGraph, to build modular, resilient, and scalable AI service chains.
Cloud Deployment & Scalability: Manage the end-to-end lifecycle of AI solutions, including deployment, monitoring, and performance optimization on cloud infrastructure (AWS, Azure, or GCP).
Cross-Functional Collaboration: Collaborate with product and engineering teams to translate abstract business objectives into actionable technical prototypes and production-ready systems.





Technical Requirements
Experience: 23 years of qualified experience in software development with a dedicated focus on AI/ML lifecycle management.
Programming: Mastery of Python for robust, production-quality code.
AI/ML Foundational Knowledge: Proven expertise in LLMs, RAG, and Computer Vision architectures.
Frameworks & Tooling:
Orchestration: Hands-on experience with LangChain or LangGraph.
Vision Libraries: Proficiency in OpenCV, PyTorch, YOLO, Detectron2, SAM, or ViT.
Database Management: Experience with vector databases such as Chroma, Pinecone, or FAISS.
Cloud Infrastructure: Demonstrated experience with major cloud platforms (AWS, Azure, or GCP).
Problem-Solving: Proven ability to decompose complex technical requirements into scalable, iterative development milestones.

Preferred Qualifications

Candidates possessing the following attributes will be given priority:
Production Li

📌 Ai/ml Engineer Kolkata
🏢 Sentientgeeks Software And Consultancy
📍 Kolkata