AI Engineer

Tech3pillars Technologies

  • NULL, AK
  • 13 days ago

    Highlights

    Build multi-agent solutions using frameworks such as LangGraph, LangChain, Semantic Kernel, or LlamaIndex. Design and implement the Generative AI applications using Azure OpenAI and Large Language Models.

    Numbers & Facts

    LocationNULL, AK

    Description

    Job Title : AI Engineer

    Location : Indianapolis, IN

    Key Responsibilities:

    AI & LLM Development

    Design and implement the Generative AI applications using Azure OpenAI and Large Language Models.
    Develop Agentic AI workflows capable of reasoning, planning, and tool execution.
    Implement prompt engineering, function calling, structured outputs, and AI orchestration patterns.
    Build multi-agent solutions using frameworks such as LangGraph, LangChain, Semantic Kernel, or LlamaIndex.
    RAG & Vector Search

    Design and implement Retrieval-Augmented Generation (RAG) architectures.
    Develop document ingestion, chunking, embedding, and indexing pipelines.
    Implement semantic search, hybrid search, vector search, and re-ranking solutions.
    Optimize retrieval quality and reduce hallucinations through grounding and citation strategies.
    Azure AI Platform

    Develop solutions using:
    Azure AI Foundry
    Azure OpenAI Service
    Azure AI Search
    Azure AI Agent Service
    Azure AI Document Intelligence
    Azure Machine Learning
    Configure and manage AI models, deployments, prompts, evaluations, and monitoring.
    Application & API Development

    Develop scalable REST APIs using Python.
    Build microservices and backend services supporting AI workloads.
    Integrate AI solutions with enterprise systems such as:
    Salesforce
    SAP
    ServiceNow
    CRM applications
    Internal business platforms
    AI Routing & Orchestration

    Design intelligent routing mechanisms that determine whether requests should be fulfilled through:
    Enterprise APIs
    Knowledge Search (RAG)
    LLM reasoning
    Agent-based workflows
    Build intent classification, context management, and decision engines.
    Cloud & DevOps

    Deploy AI solutions using:
    Azure Kubernetes Service (AKS)
    Docker
    Kubernetes
    Azure App Services
    Azure Functions
    Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
    Monitor solution performance, security, and operational health

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