AI Engineer

Overview

AI Engineer

BSI Financial Services Inc is a FinTech leader delivering technology-driven financial solutions for the mortgage industry. We are a people-focused, growth-oriented, and innovation-driven organization. We're looking for passionate builders like you who want to make a meaningful impact and help shape the future of AI-powered financial services.

About The Role

We are seeking an experienced AI Engineer with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and end-to-end AI system development. You will design, build, and deploy AI-driven applications, leveraging state-of-the-art machine learning techniques and modern cloud technologies.

The ideal candidate is analytical, detail-oriented, and skilled in building scalable AI systems—from data ingestion and model orchestration to deployment, monitoring, and optimization.

What You Will Do

• Work closely with product, engineering, and business teams to understand requirements and translate them into AI-driven solutions.
• Architect, develop, and deploy robust LLM-based applications, including custom pipelines, prompt engineering, and fine-tuning when needed.
• Build RAG systems using embedding models, vector search, and optimized retrieval pipelines.
• Design and manage Vector Databases (e.g., Pinecone, Chroma, Weaviate, Qdrant) to support scalable semantic search and knowledge retrieval.
• Develop high-quality Python applications, APIs, and automation workflows that integrate AI models into production systems.
• Implement data pipelines for ingestion, preprocessing, metadata enrichment, and evaluation.
• Optimize LLM performance, latency, cost, and accuracy through model selection, quantization, caching, and other engineering strategies.
• Deploy AI workloads to cloud platforms (AWS/Azure), including serverless and container-based environments.
• Conduct comprehensive testing, debugging, and performance tuning for AI services.
• Maintain documentation across the AI development lifecycle—design, experiments, deployment, and monitoring.
• Stay current with emerging AI research and tooling and apply best practices to enhance internal AI capabilities.
  
  

What we’re looking for

Required Qualifications

• BE/BTech degree in Computer Science, AI/ML, Information Technology, or related field.
• 4+ years of professional experience in software engineering, ML engineering, or AI application development.
• Strong hands-on experience with Python, FastAPI/Flask, and microservices.
• Expertise in LLMs (GPT, Llama, Mistral, etc.) and modern AI frameworks.
• Experience building RAG pipelines, including embeddings, retrievers, chunking strategies, and context optimization.
• Proficiency with Vector Databases such as Pinecone, Chroma, Weaviate, Qdrant, FAISS, etc.
• Strong understanding of prompt engineering, model orchestration, and evaluation techniques.
• Solid experience with REST APIs, asynchronous processing, and cloud-native architecture.
• Knowledge of SQL and NoSQL databases and data modeling.
• Familiarity with CI/CD pipelines, Git, and automated testing.
• Understanding of MLOps principles, feature stores, and model deployment workflows.
• Strong debugging skills, analytical thinking, and attention to detail.
• Excellent communication and collaboration abilities.
  
  

• Experience fine-tuning or training custom LLMs.
• Knowledge of LangChain, LlamaIndex, or similar orchestration frameworks.
• Understanding of AWS/Azure AI services, serverless architecture, and containerization (Docker/Kubernetes).
• Familiarity with data engineering pipelines, ETL processes, and streaming frameworks.
• Experience with Generative AI for text, speech, or multimodal applications.
• Background in NLP, information retrieval, or knowledge graphs.
  
  

• Competitive salary
• Full benefits package
• Paid time off (PTO)
• Holiday pay
• Career growth and learning opportunities in advanced AI technologies
• Opportunity to shape the future of AI in the mortgage and financial services domain
  
  

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.