Senior AI Engineer
Bajaj Finance Limited
Full-time
On-site
Pune, Maharashtra, India
| Job Purpose | Will be a technical IC who is expert in application development and support using Python, NLP, AI ,Langchain, Langgraph, MCP, Kubernetes, DevOps, Azure open AI frameworks |
| Duties and Responsibilities | • Design and develop intelligent AI Based application using advanced NLP and LLM techniques to solve real-world business challenges in financial services. • Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured financial data. • Integrate and orchestrate LLMs/SLMs for question-answering, summarization, semantic search, and document understanding. • Develop and maintain RESTful APIs (sync and async) to serve NLP models and chatbot interfaces using frameworks like FastAPI, Flask etc. • Should have knowledge of advance prompting techniques • Implement semantic search and text retrieval systems using Elasticsearch and vector databases (e.g., FAISS, Pinecone, Weaviate). • Perform NLP tasks such as entity recognition, text classification, intent detection, embedding generation, and sentiment analysis where required. • Monitor and fine-tune LLM/SLM performance with real-world user data to improve relevance, latency, and accuracy. • Exposure to LLMOps tools for monitoring, evaluation, and versioning of AI models in production • Build, train, and evaluate deep learning models for NLP tasks including classification, NER, summarization, and embedding generation etc. • Develop traditional machine learning models (e.g., regression, decision trees, clustering) for structured data analysis and prediction tasks. • Interact with cross teams to understand system issue and follow-up with respective team to get is fixed asap. • Understand and identify areas of improvement across businesses and participate in solution identification and implementation • Should be able to work as an individual contributor role on new & existing projects • Positive and problem-solving attitude, must work as independent contributor |
| Key Decisions / Dimensions | • Finalizing the Solution design and technical Architecture • Approach for technologies and tools to be used for application development • Preparing application solution design with technical specification • Creation of code, implementation plan and planning deployment • Development Planning and resource planning • Conduct Code Review / Testing • KPI monitoring |
| Major Challenges | • Keeping up to date with the latest technology • Keep optimizing the application code for optimal usages of resources and scalability. • Handling Production issues and responsible to communicate to business teams • Conduct systematic Root Cause Analysis • Maintaining the system uptime to 100% |
| Required Qualifications and Experience | a) Qualifications Graduation in computers / electronics or Post Graduation in Computer Science b) Work Experience Experience of 3 – 8 years • Mandatory Skills (tasks may differ basis the below mentioned skill sets) Must have: Core Technical Skills (Mandatory) • Python & API development & maintenance using python- Advanced proficiency with async/await patterns. Production experience with backend. • Experience with deep learning frameworks such as PyTorch or TensorFlow/Keras for building NLP and classification models. • Experience with LLMs and SLMs (e.g., GPT, Mistral, Phi, LLaMA) and applying them in RAG, prompt engineering, and fine-tuning workflows. • Prompt Engineering, Azure Open API, Langchain, Langgraph, AI Agents - Using AI in business application. Knowledge of developing Agents & tools, using LLM logging frameworks • Experience working with embedding models and semantic vector search. • Comfortable with Docker, Git, and working in a CI/CD-enabled development environment. • Exposure to LLMOps tools for monitoring, evaluation, and versioning of AI models in production Good To have: • Machine Learning • Exposure to cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI, or Bedrock). Database & Performance • Database Design, Connection Pooling, Caching Strategies, Error Handling • Postgresql, MongoDB • Redis, Kafka - Caching strategies and async operations Soft Communication • Technical Communication - Ability to explain complex technical concepts • Problem-Solving - Debugging complex distributed systems • Code Review - Constructive feedback and knowledge sharing • Mentoring - Ability to guide junior developers • Strong bias for action & driving results in a high-performance environment. • Exceptionally high motivational levels and needs to be a self-starter. |