Senior AI Engineer

Role & responsibilities

Experience Level 6 to 14 yrs
Job Location Pune/ Remote

Sr AI Engineer
Position Type Full time
Required Skills Primary- Python, Machine Learning, Deep Learning, Generative AI/LLMs, RAG (LangChain/LlamaIndex), AWS/Azure/GCP, Docker & Kubernetes.

Good to have-Insurance
Detailed Job Description Requirements
Who are we
Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.
Position Overview
We are seeking a highly skilled, hands-onSenior AI Engineerto lead the design, development, and production deployment of advanced AI solutionsspanning traditional machine learning, deep learning, and Generative AI. You will own end-to-end AI initiatives, from architecture through optimization, deployment, and monitoring, and build scalable, enterprise-grade applications such as conversational AI assistants and Retrieval-Augmented Generation (RAG) pipelines that deliver measurable business value.
Key Responsibilities

• Design, train, and evaluate ML and deep learning models (RNNs, GRUs, LSTMs, and Transformers such as BERT, T5, GPT) for classification, anomaly detection, forecasting, and NLP tasks.
• Architect and develop Generative AI and RAG solutions for document search, conversational Q&A, and summarization using frameworks like LangChain and LlamaIndex.
• Implement vector stores (e.g., FAISS, Pinecone, Azure AI Search), embeddings, and retrieval techniques for grounded, context-aware responses.
• Optionally fine-tune LLMs using SFT and PEFT methods (LoRA, QLoRA) on domain-specific datasets.
• Optimize models via quantization (dynamic/static, INT8) to improve latency and reduce compute overhead.
• Deploy models into production on cloud platforms (AWS, Azure, GCP) using containerization (Docker, Kubernetes), collaborating with DevOps on CI/CD pipelines for scalability and reliability.
• Define and track technical and business metrics; monitor model drift and performance, and retrain as needed.
• Collaborate with cross-functional teams (data engineering, backend, DevOps, product) and mentor junior engineers; write clean, reproducible, well-documented code.

Required Qualifications

• Bachelor's or Master's in Computer Science, Data Science, or a related field.
• 5+ yearsof hands-on experience in machine learning, AI engineering, or data science, with proven production deployment experience.