Overview

SentientGeeks is seeking a highly skilled and motivated AI/ML Engineer to join our engineering team.

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

Qualifications

• Programming: Mastery of Python for robust, production-quality code.
• AI/ML Foundational Knowledge: Proven expertise in LLMs, RAG, and Computer Vision architectures.
• Frameworks & Tooling:
• o Orchestration: Hands-on experience with LangChain or LangGraph.
• o Vision Libraries: Proficiency in OpenCV, PyTorch, YOLO, Detectron2, SAM, or ViT.
• o 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.
• Agentic AI : 2 years (Required)
• Computer vision: 2 years (Required)

Nice to have

• Candidates possessing the following attributes will be given priority:
• Production Lifecycle: Experience transitioning models from development environments (Jupyter/Colab) to live, high-concurrency APIs.
• Edge AI & Inference: Proficiency in model optimization techniques such as ONNX or TensorRT for low-latency inference.
• MLOps Proficiency: Experience with containerization (Docker/Kubernetes) and tracking tools (MLflow, Weights & Biases).
• Advanced Training: Proven experience with Parameter-Efficient Fine-Tuning (PEFT/LoRA) and custom training on specialized datasets.
• Multi-Modal Expertise: Practical application of up-to-date multi-modal architectures (e.g., Llama Vision, Claude 3.5 Sonnet, GPT-4o).
• Community Engagement: Evidence of active contributions to open-source AI projects or a strong portfolio of independent AI/ML developments on GitHub.
• Why Join SentientGeeks
• At SentientGeeks, you will be part of a forward-thinking culture that prioritizes technical excellence and continuous innovation. We offer a growth-oriented environment where your work directly impacts enterprise efficiency, providing you with the chance to solve real-world challenges using the latest advancements in agentic systems and multi-modal AI.
• SentientGeeks is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
• Subhadeep, would you like me to tailor this for a specific platform (like LinkedIn or a job portal), or should I draft an accompanying email template for potential candidates

Benefits

• Health insurance
• Leave encashment
• Provident Fund
• How many years of experience you have in AIML
• What's the current CTC you're getting
• What would be your expected CTC
• How many days of Notice Period you have to serve