Lead AI Engineer - Agentic AI (Java/Python)

ARCHER; Jersey City (NJ); Presencial; USD 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Resumo da oferta

ARCHER is seeking a seasoned leader to guide a local software and AI/ML team, delivering AI-driven solutions in collaboration with product and business units. You will shape technical direction, own design and deployment of scalable AI systems, and promote responsible AI practices across the engineering stack.

You will drive production-grade architectures, mentor engineers, and optimize CI/CD and cloud workflows to ensure reliability and security in meeting business goals.

Qualificações

• Requires 5+ years of applied software engineering experience.
• Advanced proficiency in Java or Python.
• Familiarity with agentic AI frameworks and LLM integration into production systems.
• Experience leading teams and implementing CI/CD in cloud-native environments.

Responsabilidades

• Lead and mentor a local team of software engineers and AI/ML practitioners.
• Partner with product and business teams to define technical direction.
• Design, build, and operate secure, scalable software and AI systems.
• Promote responsible use of AI tools and automate reliability improvements.

Conhecimentos

Java

Python

Agentic AI

LangChain

LangGraph

Auto-GPT

Large Language Models

Generative AI

Natural Language Processing

Retrieval-Augmented Generation

AI Evaluation

Machine Learning

TensorFlow

PyTorch

Scikit-Learn

AWS

Ferramentas

LangChain

LangGraph

Auto-GPT

TensorFlow

PyTorch

Scikit-Learn

AWS

Descrição da oferta de emprego

ARCHER is seeking a seasoned leader to guide a local software and AI/ML team, delivering AI-driven solutions in collaboration with product and business units. You will shape technical direction, own design and deployment of scalable AI systems, and promote responsible AI practices across the engineering stack.

You will drive production-grade architectures, mentor engineers, and optimize CI/CD and cloud workflows to ensure reliability and security in meeting business goals.