Lead AI Engineer (Agentic AI) - NC, TX

Apex Systems

Charlotte (NC)

Presencial

USD 120.000 - 160.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Medical
Dental
Vision
Life insurance
Disability insurance
Employee stock purchase program
401k program
Health savings account
Employee assistance program
Corporate discount savings program
Training program
Certification prep
Career coaching

Descripción de la vacante

Apex Systems is seeking a software engineer to design and develop generative AI applications and agent-based solutions using LangChain and related tools. You will collaborate with architects to implement RAG pipelines, MLOps practices, and ensure scalability and security of AI-enabled applications.

Ideal candidates have 5–10 years of software engineering experience with Python and hands-on experience with generative AI frameworks, SDLC, and cloud-native development.

Formación

  • Requires 5-10 years of software engineering experience with at least 2 years of strong Python development.
  • Candidates must have hands-on experience with generative AI frameworks and a solid understanding of SDLC and cloud-native development.

Responsabilidades

  • Design and develop generative AI applications and agent-based solutions using frameworks like LangChain and ADK.
  • Collaborate with architects to implement RAG pipelines, MLOps practices, and ensure the scalability and security of AI-enabled applications.

Conocimientos

Python
Generative AI
LangChain
Agent development kit
Agent-based architectures
SDLC
MLOps
LLMOps
Azure
GCP
OpenShift
DevOps
CI/CD
Infrastructure as code
Retrieval-augmented generation
Agile

Descripción del empleo

Design and develop generative AI applications and agent-based solutions using frameworks like LangChain and ADK. Collaborate with architects to implement RAG pipelines, MLOps practices, and ensure the scalability and security of AI-enabled applications.

Requirements

Requires 5-10 years of software engineering experience with at least 2 years of strong Python development. Candidates must have hands-on experience with generative AI frameworks and a solid understanding of SDLC and cloud-native development.

Key Skills
  • Python
  • Generative AI
  • LangChain
  • Agent development kit
  • Agent-based architectures
  • SDLC
  • MLOps
  • LLMOps
  • Azure
  • GCP
  • OpenShift
  • DevOps
  • CI/CD
  • Infrastructure as code
  • Retrieval-augmented generation
  • Agile
Benefits
  • Medical
  • Dental
  • Vision
  • Life insurance
  • Disability insurance
  • Employee stock purchase program
  • 401k program
  • Health savings account
  • Employee assistance program
  • Corporate discount savings program
  • Training program
  • Certification prep
  • Career coaching
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