Advanced Intelligent System Developer

1 day ago

Mangalore, Karnataka, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Overview:

We are seeking a highly skilled Artificial Intelligence Engineer to join our team. As an AI Engineer, you will be responsible for designing and implementing machine learning (ML) pipelines for automating loan origination, underwriting, and document intelligence processes.

Key Responsibilities:
  • Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes.
  • Develop and deploy large language model (LLM)-based solutions using tools like Ollama, 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 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 (Azure ML, Functions, Blob Storage, App Services).
  • Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
  • Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows.
Requirements:
  • 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.
  • Nice to Have
  • Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.).
  • Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract).
  • Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining.
  • Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments.

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