Lead AI Engineer: Agentic AI & Generative Systems

Apex Systems; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

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

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

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

Job description

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.