Software Engineer – AI/ML/LLM/Data Science

Company Overview:
BSI Financial Services (India) is a FinTech company specialized in technology based financial solutions and services for the mortgage Industry. We are a people-focused, growth-oriented, innovative company and we're looking for people like you to make a positive change and join our team today!

We are looking for an innovative Software Engineer – AI/ML/LLM/Data Science to design, develop, and deploy AI-driven solutions using Machine Learning, NLP, and Large Language Models (LLMs). The ideal candidate will work with Python to build and optimize retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies. You will develop scalable AI pipelines, ensuring high performance and seamless integration with cloud and on-prem environments. This role involves MLOps best practices, AI model optimization, and deployment of intelligent applications.

What You will do:

• Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases.
• Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases (e.g., ChromaDB, Pinecone, FAISS).
• Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance.
• Develop end-to-end AI solutions with APIs using FastAPI, Flask, or similar frameworks.
• Build and maintain scalable data pipelines for training and inferencing AI models.
• Deploy and manage models using MLOps best practices on AWS or Azure.
• Optimize AI model performance for low-latency inference and scalability.
• Collaborate with cross-functional teams (Product, Engineering, Data Science) to integrate AI capabilities into applications.

What we are Looking for:
Must Have:

Proficiency in Python – Strong hands-on experience in AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI APIs.

Good to Have:

• Experience with LLM fine-tuning, embeddings, and transformers.
• Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus).
• Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask.
• Familiarity with MLOps tools (Docker, Kubernetes, CI/CD for AI models).
• Hands-on experience in cloud-based AI deployment (AWS Lambda, SageMaker, GCP Vertex AI, Azure ML).
• Knowledge of prompt engineering, GPT models, or knowledge graphs.

What's in it for you:

• Competitive Salary & Full Benefits Package
• PTOs / Medical Insurance
• Exposure to cutting-edge AI/LLM projects in an innovative environment
• Career Growth Opportunities in AI/ML leadership
• Collaborative & AI-driven work culture

EEO Statement

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.