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Senior AI​/ML Developer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Reasonn
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Senior AI/ML Developer

Houston, TX

12 months Contract

We are seeking a highly skilled Senior AI/ML Developer to design and implement next-generation AI-powered knowledge management systems . The ideal candidate will have expertise in document understanding, LLMs, multimodal AI, and agentic AI systems
.

You will lead the development of a co-pilot-style solution capable of ingesting, processing, and reasoning over large volumes of documents (PDFs, scanned images, engineering drawings, invoices, P&IDs, SOPs, etc.), and delivering accurate, context-aware answers to user queries.

This role requires deep expertise in both cloud-native (Azure) and open-source AI ecosystems , with the ability to design autonomous, agent-driven workflows that integrate multiple tools, APIs, and data sources.

Key Responsibilities

AI/ML Solution Design & Development

  • Architect and implement document understanding pipelines (structured unstructured data).
  • Build retrieval-augmented generation (RAG) systems and LLM-based copilots for enterprise knowledge management.
  • Develop agentic AI workflows (using Lang Chain Agents, Semantic Kernel, Auto Gen, etc.) for multi-step reasoning and automation.
  • Integrate OCR, computer vision, and NLP models to process scanned PDFs, engineering drawings, invoices, and P&.
  • Fine-tune and optimize LLMs (OpenAI, Azure OpenAI, Hugging Face, LLaMA, etc.) for enterprise use.

Cloud & Data Engineering

  • Build scalable AI solutions on Azure tech stack (Azure AI Search, Cognitive Services, Azure OpenAI, Azure Functions, Blob Storage, AKS).
  • Implement vector databases (e.g., Pinecone, Weaviate, Azure AI Search, FAISS) for semantic and multimodal search.
  • Design and manage efficient data pipelines using Python, SQL, and distributed processing frameworks.

Full-Stack Collaboration

  • Work with front-end developers (React) to integrate AI services into user-friendly applications.
  • Ensure smooth API design and deployment of AI services.

Performance & Governance

  • Ensure system scalability, low latency, and cost efficiency.
  • Apply best practices for responsible AI (bias mitigation, data security, compliance).
Required Skills & Qualifications

Core AI/ML Expertise

  • Strong hands-on experience in NLP, LLMs, RAG, and multimodal AI
    .
  • Proven experience building agentic AI workflows (Lang Chain Agents, Microsoft Semantic Kernel, Auto Gen, CrewAI, Haystack agents).
  • Proficiency with document AI, OCR, computer vision
    , and structured document parsing.
  • Expertise in transformer-based models (BERT, GPT, LLaMA, etc.), fine-tuning, and prompt engineering.
  • Knowledge of knowledge graphs, embeddings, and semantic search
    .
  • Programming & Tools
  • Strong skills in Python (PyTorch, Tensor Flow, Hugging Face, Lang Chain, Llama Index, OpenAI SDKs).
  • Experience with data processing & ETL pipelines (Pandas, Spark, Dask).
  • Familiarity with React, REST APIs, FastAPI/Flask/Django for service integration.
  • Strong in SQL (MS SQL), data modeling, and optimization.

Cloud & Infrastructure

  • Experience with Azure AI stack
    :
    Azure Cognitive Services, Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, AKS.
  • Hands-on with MLOps pipelines (Azure ML, MLflow, CI/CD, Kubeflow).
  • Knowledge of containerization & orchestration (Docker, Kubernetes).

Other Preferred Skills

  • Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, Azure AI Search).
  • Exposure to scanned document/image processing (Azure Form Recognizer, Layout

    LM, Detectron, Tesseract OCR).
  • Familiarity with engineering/industrial documents (P&, CAD drawings, invoices).
  • Understanding of data privacy, security, and compliance in enterprise AI.
Education & Experience
  • Bachelor s or Master s in Computer Science, Data Science, AI/ML, or related field
    .
  • 8 years of overall development experience, with at least 4 years in AI/ML-focused projects.
  • Proven track record of delivering enterprise-grade AI/ML and agentic systems
    .
  • Experience in mentoring junior developers and working in agile product teams.
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Position Requirements
10+ Years work experience
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