CGEMJP00361729 - Gen AI Developer

Alpha-Net Consulting

  • North Carolina, NC
  • 7 days ago

    Highlights

    JOB DESCRIPTION: We are seeking highly skilled Agentic AI Senior Developers to design, build, and deploy intelligent autonomous systems that leverage large language models (LLMs), tools, and orchestration frameworks. Good understanding of prompt engineering, agent tools, agent skills, agent workflows, schematic search, vector embeddings and mcp tools concepts.

    Numbers & Facts

    LocationNorth Carolina, NC

    Description

    Role: Gen AI Developer

    Location: Charlotte

    JOB DESCRIPTION:

    We are seeking highly skilled Agentic AI Senior Developers to design, build, and deploy intelligent autonomous systems that leverage large language models (LLMs), tools, and orchestration frameworks. The ideal candidate will have strong experience in AI/ML engineering and hands-on expertise in building multi-step AI agents that can reason, plan, and execute tasks.

    Key Responsibilities

    Design and develop agentic AI systems using LLMs (AWS Bedrock, Anthropic API, etc.)

    Build multi-agent workflows with planning, memory, and tool usage capabilities

    Integrate APIs, enterprise systems, and knowledge sources into agent workflows

    Develop prompt engineering strategies and optimize model performance

    Implement RAG (Retrieval Augmented Generation) pipelines

    Ensure scalability, performance, and security of AI systems

    Collaborate with business teams to translate use cases into AI solutions

    Monitor agent behavior and continuously improve accuracy and reliability

    Required Skills & Experience

    10+ years of hands-on development experience in software engineering / AI development

    Strong programming skills in Python (mandatory)

    Experience with LLM frameworks: LangChain, LangGraph is mandatory.

    Knowledge of vector databases (FAISS, Pinecone, PgVector, etc.)

    Must have development experience with REST APIs and microservices architecture

    Must have development experience with AWS / Anthropic AI services

    Good understanding of prompt engineering, agent tools, agent skills, agent workflows, schematic search, vector embeddings and mcp tools concepts

    AI and Agents Evals implementation

    AI and Agents Observability and Control plane integration

    Good to Have

    Experience with multi-agent orchestration

    Knowledge of GenAI governance and responsible AI

    Frontend exposure (React, chat interfaces)

    Model evaluation, Fine tuning (optional).

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