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Executive Full Stack Machine Learning Engineer Jobs in New Jersey

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Full Stack Java Developer

Woodbridge, NJ · On-site

$53 - $68.50/hr

My name is Wasim and I am an IT Recruitment Executive at ZORTECH SOLUTIONS . We are constantly on ... Full Stack Java Developer Location: Woodbridge Township New Jersey on W2 Skills: Full Stack: same ...

Full Stack Developer, Weehawken, NJ Have 2 openings for the Full Stack Developer opening. These are ... Agile, Software Engineer, Software Developer, Programming, Programmer Analyst, New Jersey ...

Full Stack Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

What We're Looking For Cross River Bank is seeking a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire ...

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Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in New Jersey? The most popular types of Full Stack Machine Learning Engineer jobs in New Jersey are:
What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in New Jersey? For Executive Full Stack Machine Learning Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in New Jersey look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in New Jersey with the most Executive Full Stack Machine Learning Engineer job openings:

AI Engineer - Full Stack

LotSolutions, Inc.

Iselin, NJ

Full-time

Posted 24 days ago


Job description

Fortegra is seeking an Internal AI Forward Deployed Software Engineer to stay ahead of cutting-edge AI developments, rapidly prototype proofs-of-concept (POCs), and advise our organization's various technology teams on integrating the best AI solutions into their platforms and products. You'll be the go-to expert in bridging emerging AI technologies with our internal tech needs, enabling nimble adoption across teams and deploying AI apps in production.

Roles and Responsibilities

  • Monitor and stay current with the AI technology landscape, including new models, frameworks, tools, and research across areas such as LLMs, multimodal AI, agentic systems, and orchestration platforms, to inform internal recommendations and solution design.
  • Operate with flexibility across software and data initiatives, contributing where business needs and priorities are most critical. Adapting readily to support both software engineering and data-focused projects as priorities and requirements shift will be integral to the role. Data-focused projects involve supporting our data infrastructure in terms of platform enhancements or building new data processes to support business needs.
  • Engage with internal stakeholders to identify high-value AI opportunities, define use cases, and rapidly prototype tailored solutions that integrate with our APIs, data pipelines, and internal platforms for workflows such as analytics, automation, and decision support.
  • Advise teams on the selection and implementation of AI solutions by assessing trade-offs across accuracy, latency, scalability, security, and cost, and guide the evolution of prototypes into production-ready applications.
  • Own end-to-end delivery of AI initiatives, from ideation and scoping through prototyping, testing, deployment, monitoring, and iterative optimization in internal production environments. Build a sharp eye for continuously validating AI-driven processes and evaluating their outputs for accuracy, effectiveness, and trustworthiness.
  • Identify reusable patterns, shared components, and platform enhancement opportunities emerging from AI projects, and partner with core engineering teams to improve maintainability, scalability, security, and operational resilience.
  • Conduct workshops, demos, and knowledge-sharing sessions to educate teams on AI best practices, emerging tools, and Fortegra's evolving AI capabilities, helping drive organization-wide adoption and responsible usage.
  • Operate effectively across multiple high-priority initiatives, contributing as an engineer, technical advisor, researcher, and communicator in a fast-moving and often ambiguous environment.

The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.

Required Skills and Qualifications

  • Bachelor’s degree in Computer Science or a related field required; Master’s degree in Computer Science or a related discipline with a focus on AI or machine learning is preferred.
  • 3 to 5 years of software engineering experience, including hands-on development of AI-enabled applications and solutions using modern cloud-based AI platforms such as Azure Machine Learning or Azure AI Studio. Experience with Azure is strongly preferred.
  • Proven track record of rapidly building POCs and advising on AI integration strategies, with strong knowledge of current AI trends, leading model families, evaluation approaches, and practical enterprise use cases.
  • Experience with developer tooling such as Claude Code, GitHub Copilot, and Cursor is required.
  • Strong full-stack engineering skills, including proficiency in React-based web development and the ability to review, understand, and refine AI-generated code. Experience designing or implementing agentic workflows is highly valued. Familiarity with FastAPI is preferred.
  • Experience working with frontier models from providers such as OpenAI, Anthropic, and Google within a Git-based development environment. Familiarity with GitHub-based CI/CD workflows and the use of AI tools for automated testing, including tools such as Playwright, is strongly preferred.
  • Demonstrated ability to work with speed and flexibility across multiple priorities, debug complex AI-driven systems, and deliver effective solutions under tight timelines.
  • Strong communication and stakeholder management skills, with the ability to work effectively in matrixed organizations and translate complex technical concepts for both technical and non-technical audiences.
  • Clear commitment to continuous learning, with an established habit of staying current on AI developments through research papers, newsletters, hands-on experimentation, and industry forums.

Preferred Qualifications:

  • Insurance or Financial Services domain experience
  • Experience building AI-enabled products or developer tooling
  • Familiarity with LLMs, AI agents, and prompt engineering
  • Experience with serverless and cloud-native architectures

What Makes This Role Unique:

  • Work in an AI-first engineering environment
  • Use modern AI developer tools to dramatically accelerate development
  • Join a high-impact engineering team focused on rapid innovation

Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more.

The anticipated salary for this position is $110,000 - $190,000 per year, based on qualifications and experience.

FORTEGRA IS NOT ACCEPTING UNSOLICITED RESUMES FROM SEARCH FIRMS FOR THIS POSITION.

Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins.

Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender.

Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting.

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