View All Openings Engineering Senior AI/ML Engineer
Gurugram, Haryana
We are looking for a passionate AI/ML Engineer with hands-on experience in building, deploying, and optimizing AI/ML solutions. Apply Now About this position
The ideal candidate should have strong expertise in Python, PyTorch, LangChain, LangGraph, Vector Databases, and Hugging Face (HF) Transformers, along with a solid understanding of modern LLM workflows and end-to-end machine learning pipelines. What are you going to do?
Model Development: Design, build, and deploy AI/ML models, including deep learning and LLM-based solutions. Optimization: Develop, fine-tune, and optimize models using PyTorch and HF Transformers. Agentic AI & Workflows: Architect and build Agentic AI systems, autonomous agents, and complex RAG workflows using LangChain and LangGraph. Vector Search: Implement and manage Vector Databases (Pinecone, FAISS, Chroma, Weaviate, etc.) for embedding storage and retrieval. Data Pipelines: Work with large datasets to perform data preprocessing, feature engineering, and data pipeline design. Production Deployment: Integrate ML models into production using scalable architectures and APIs (FastAPI / Flask). Evaluation: Perform model evaluation, benchmarking, and optimization for performance and accuracy. Collaboration: Collaborate with product, data, and engineering teams to translate requirements into effective AI solutions. Continuous Learning: Stay updated with emerging AI/ML advancements, frameworks, and best practices You need to have:
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, or a related field. 3+ years of experience as an AI/ML Engineer, ML Researcher, or Deep Learning Engineer. Strong programming skills in Python and experience with ML frameworks like PyTorch. Experience working with Hugging Face Transformers for model training and fine-tuning. Strong understanding of LLM fine-tuning, RAG architectures, prompt engineering, and model evaluation. Hands-on experience with LangChain and LangGraph in building conversational AI, agents, or workflow-based solutions. Experience with MLOps tools and version control systems like MLflow, DVC, and Airflow. Good knowledge of cloud ecosystems (AWS, GCP, Azure) and containerization (Docker). Experience with API development, preferably using FastAPI or Flask. Great perks for everyone.
Here are some of the major highlights and perks of working at Squareboat. MacBooks & Monitors
Premium MacBooks with 22" LED monitors for all team members. Office Celebrations
From birthdays to milestones, we celebrate every success together. Gaming Zone
PlayStation, table tennis, and more for fun and relaxation. Hackathons
Annual 24-hour hackathons packed with innovation and prizes. Annual Trips
Once a year, we travel together and create unforgettable memories. Weekly Tech Talks
Sharing knowledge that inspires growth and innovation. Work-Life Balance
Fixed shifts and a 5-day work week for a healthy lifestyle. Cutting-Edge Projects
Work on the latest technologies with world-class clients. Health Insurance
Company-sponsored coverage for your health and peace of mind. Expert Training
Learn from top technical experts through structured coaching. Courses & Books
Free access to courses and books for continuous learning. Open Source Contributions
Collaborate on impactful open-source projects. Squareboat in action
This is how we work, play, party and enjoy to the fullest. View our work
Our work page contains detailed case studies on all the key projects we have done so far. Have a look! See Work The Team
Experience how it is like working at Squareboat along with our amazing work culture Meet our crew
