Assistant Manager

Job Title: Senior AI & Full Stack Engineer

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Experience Level:

Employment Type:

Job Summary

Senior AI & Full Stack Engineer

designing, building, and delivering

Key Responsibilities

• Design, build, fine-tune, and deploy Large Language Model (LLM)-based applications to solve business challenges.
• Implement advanced Retrieval-Augmented Generation (RAG) pipelines with vector databases and embedding models.
• Apply deep learning techniques (e.g., Transformers, CNNs, RNNs) to build and optimize intelligent systems.
• Develop full-stack solutions using JavaScript (React/Angular) for frontend and Python/Node.js for backend services.
• Integrate ML/AI capabilities into user-facing applications seamlessly.
• Architect and deploy applications on cloud platforms like AWS, GCP, or Azure, ensuring high availability, scalability, and security.
• Collaborate with business stakeholders to gather requirements and translate them into technical designs and deliverables.
  

Required Qualifications

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related discipline.
• Strong hands-on experience working with multimodal like GPT, Llama, Gemini, Claude, or similar.
• Experience building RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and embedding models (e.g., OpenAI, Hugging Face, Cohere)
• Proven experience with ML/DL frameworks like PyTorch or TensorFlow. Strong understanding of supervised/unsupervised learning, neural networks, and NLP along with Familiarity to MLOps and CI/CD pipelines for ML models.
• Proficient in JavaScript/TypeScript using frameworks like React, Angular, or Vue, and experienced with backend development using Python (FastAPI, Flask, Django) or Node.js.
• Hands-on deployment experience on AWS, GCP, or Azure. Familiar with services like Lambda, S3, EC2, GKE, IAM, experienced in containerization using Docker and orchestration with Kubernetes.
• SQL and Database Experience: Working knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, etc.)
• Strong problem-solving abilities, business acumen, and ownership mindset.
• Excellent communication skills and experience collaborating in agile, cross-functional teams.
  

Why Join Us?

• Work on cutting-edge AI/ML projects with real business impact.
• Be part of a forward-thinking, innovation-driven team.
• Opportunity to grow and shape the future of AI-driven products.
• Flexible work culture and room for continuous learning.