Senior AI Engineer

Location Name:

Job Purpose

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

•  Qualifications
  

•  Work Experience
  

•  Mandatory Skills (tasks may differ basis the below mentioned skill sets)
  

Must Have

•  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 Design, Connection Pooling, Caching Strategies, Error Handling
•  Postgresql, MongoDB
•  Redis, Kafka - Caching strategies and async operations
  

•  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.