AI Engineer

16 days ago

Jersey City, NJ, USA or Houston, TX, USASenior

Base Salary

$122k - $148k/yr

Responsibilities

Design, develop, fine-tune, and deploy machine learning and AI models for business use cases.
Design reasoning chains, tool use, agent architectures, prompts, personas, tool descriptions, and reasoning scaffolds.
Define agent capabilities and autonomous decision-making boundaries while managing stakeholder expectations around reliability.
Develop and orchestrate multi-step AI agents and agentic workflows using foundation models for task automation and decision support.
Test AI agents against enterprise systems, APIs, tools, and data platforms.
Design benchmarks and automated evaluations to measure agent reliability, accuracy, and safety.
Work with structured and unstructured data for predictive and generative AI solutions.
Manage and mentor a team of Data Scientists, setting expectations for model quality, documentation, and production readiness.
Collaborate with Data Scientists, BI teams, and business stakeholders to translate requirements into AI-driven solutions.
Optimize model and agent performance, scalability, and cost efficiency.
Monitor deployed models and agents and implement feedback loops and retraining strategies.
Document technical designs, agent workflows, and system architecture.

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
5+ years of experience designing and building AI solutions, with qualifications also listing 4+ years in AI/ML, data science, or applied AI engineering.
Strong programming skills in Python.
Understanding of machine learning fundamentals and evaluation techniques.
Familiarity with prompt engineering and large language models.
Experience with Retrieval-Augmented Generation architectures.
Experience working with APIs and integrating AI into applications.
Familiarity with orchestration frameworks such as LangChain or Semantic Kernel.
Preferred hands-on experience with Amazon SageMaker and Amazon Bedrock.
Preferred familiarity with Bedrock Amazon Guardrails and Knowledge Bases.
Preferred hands-on experience with Amazon AgentCore for running agentic AI applications.
Preferred experience designing multi-agent systems, tool-using agents, and autonomous workflows.
Preferred experience with Amazon Web Services and MLOps practices including Docker, CI/CD, and model monitoring.

Hybrid work policy with office and remote work; the position is based in Woodland Hills, CA, Jersey City, NJ, or Houston, TX.
Estimated travel may be up to 25%.
Medical, dental, and vision insurance, mental health support, and wellness initiatives.
401(k) plan with dollar-for-dollar company matching contributions up to 6% of eligible pay and a company contribution equal to 3% of eligible pay, subject to plan terms and limits.
Employee Assistance Program with confidential counseling services and resources.
Matching charitable donations at a 1:1 rate up to $5,000.
Up to 16 hours of Volunteer Time Off annually.
At least 24 Paid Time Off days for eligible employees.

5,001-10,000 employees