Senior AI Engineer

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 frameworksDuties 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 contributorKey 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 monitoringMajor 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.

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