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EI

AI Developer

Expert In Recruitment Solutions
๐Ÿ‡บ๐Ÿ‡ธ United States
On-site
8 months ago
  • AI
  • RAG
  • Data Modeling
  • LangChain
  • LangGraph
  • Azure
  • AWS
  • Azure OpenAI
  • App Services
  • OpenSearch
  • Azure Functions
  • AWS Lambda
  • Databricks
  • Python
  • FastAPI
  • Flask
  • CI/CD
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AI Developer
Washington, DC - Hybrid


The developer will:
  • Build and enhance AI components that incorporate reasoning, automation, search, and orchestration capabilities.
  • Design RAG and agentic AI pipelines aligned with emerging enterprise patterns.
  • Support data modeling, analytics, and scalable compute environments for model training, tuning, and evaluation.

3 Scope of Work
3.1 AI & Agentic Framework Development
  • Develop multi-agent pipelines using agentic frameworks (e.g., LangChain, LangGraph, or similar).
  • Implement tool?driven workflows for retrieval, reasoning, diagnostics, and decision-making.
  • Integrate enterprise LLM services and apply responsible AI guidelines.
3.2 Cloud Services Integration (Azure & AWS)
  • Build AI and data pipelines using Azure services such as Azure OpenAI, Cognitive Search, Functions, App Services, and ML Studio.
  • Integrate AWS search capabilities (e.g., OpenSearch) where cross-cloud indexing or semantic search is required.
  • Develop containerized or serverless compute components (Azure Functions, AWS Lambda, ACR/ECR, etc.).
3.3 Data Engineering & Modeling
  • Use Databricks for data preparation, feature engineering, large-scale processing, and RAG?ready embeddings pipelines.
  • Develop statistical models, evaluation metrics, and experiment tracking workflows.
  • Implement pipelines for model drift, retrieval accuracy, and quality monitoring.
3.4 Application Development (Python)
  • Build APIs, automation services, and backend components using Python (FastAPI, Flask, etc.).
  • Integrate AI components with enterprise systems, data platforms, or UI layers as needed.
  • Develop unit tests, CI/CD workflows, and deployment scripts.
3.5 Documentation & Governance
  • Produce technical specifications, architecture diagrams, and operational runbooks.
  • Ensure alignment with enterprise security, data governance, and audit requirements.
  • Contribute to enterprise AI patterns and reusable modules

AI Developer ยท Expert In Recruitment Solutions

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