Manager
- Gurgaon, Haryana
- Permanent
- Full-time
Experience Level: 3–5 Years
Employment Type: Full-TimeJob SummaryWe are seeking a highly skilled and innovative Senior AI & Full Stack Engineer to join our Capability Team. This role is ideal for someone who thrives on solving real business problems using cutting-edge technologies, from LLMs and RAG-based AI systems to scalable full stack development and cloud deployment.You’ll play a pivotal role in designing, building, and delivering intelligent solutions that combine the latest in AI/ML, deep learning, and modern application development—all the way from concept to deployment.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.
- 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.
- 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.