Unit Manager - AI Unit/Senior Unit Manager - AI Unit

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)

• 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.