
Smart AI Workflow Engineer
2 days ago
As a skilled expert, you will play a pivotal role in designing and implementing intelligent solutions to streamline US mortgage loan processing workflows.
Key Responsibilities:
- 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 OpenAI, 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 models 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 (Azure ML, Functions, Blob Storage, App Services).
- Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
Required Skills & Qualifications:
- 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems.
- Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) 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, Weaviate).
- Experience deploying models into production-scale environments.
Benefits:
- Opportunity to work on complex AI projects.
- Collaborative environment with experienced professionals.
- Professional growth and development opportunities.
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