
Intelligent Systems Engineer
14 hours ago
Transform Legacy Loan Operations with AI
Job Description- Design and implement machine learning pipelines for automating loan origination, underwriting, and document intelligence processes.
- Develop and deploy large language model-based solutions using tools like HuggingFace and integrate via LangChain or similar frameworks.
- Build and orchestrate agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents.
- Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering.
- Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
- Deploy AI models and microservices using Azure.
- Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
- 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems.
- Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4) and LangChain / AutoGen / Agentic AI design.
- Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers.
- Strong knowledge of Azure Cloud – including Azure ML, Azure Functions, Azure DevOps.
- Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow.
- Familiarity with vector databases (e.g., FAISS, Pinecone).
- Experience deploying models into production-scale environments.
- Nice to Have
- Understanding of US mortgage or lending workflows.
- Experience with OCR, document intelligence tools (Azure Form Recognizer).
- Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining.
- Knowledge of privacy and compliance frameworks in AI deployments.
- Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation.
- Access to top-tier tools, frameworks, and cloud platforms.
- Remote flexibility and career growth in an innovation-first team.
- Impactful work transforming legacy loan operations through AI.
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