Job
Description
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 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)QualificationsGraduation in computers / electronics or Post Graduation in Computer Scienceb)Work ExperienceExperience 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 PerformanceDatabase Design, Connection Pooling, Caching Strategies, Error Handling
Postgresql, MongoDB
Redis, Kafka - Caching strategies and async operations
Soft CommunicationTechnical 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.
