AI Engineering Specialist

1 week ago

Bellary, Karnataka, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,10,00,000

Job Title: AI Engineering Specialist

About the Role:

We are seeking an experienced AI engineering specialist with a deep understanding of machine learning, natural language processing and large language models to join our technology team focused on automating mortgage loan processing workflows.

This role involves designing intelligent solutions using cloud-native MLOps tools and advanced AI orchestration platforms on Azure.

Key Responsibilities:

  • Design and implement ML/NLP pipelines for automating loan origination, underwriting and document intelligence processes.
  • Develop and deploy LLM-based solutions using tools like Ollama, OpenAI and integrate via LangChain or similar frameworks.
  • Build and orchestrate Agentic AI systems 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 and vector stores for contextual mortgage document workflows.

Required Skills & Qualifications:

  • 5+ years of experience in Machine Learning, NLP or LLM-based systems.
  • Proven expertise with LLMs 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.
  • 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 in AI deployments.

What We Offer:

  • 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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