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Junior Ai Agent Developer Jobs in Ridgewood, NJ (NOW HIRING)

SysMind Tech

Azure DevOps Engineer - AI Foundry

Manhattan, NY · On-site

$58 - $79.50/hr

Monitor, debug, and optimize AI agent performance, reliability, and cost * Ensure security ... Experience with Azure DevOps (Repos, Pipelines, Boards, CI/CD) * Intermediate experience in Python ...

Hello Patient

AI Agent Product Manager

New York, NY · On-site

$160K - $200K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

Hello Patient

AI Agent Product Manager

New York, NY · On-site

$110K - $160K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

Amigo AI

AI Deployment Strategist [NYC or SF]

New York, NY · On-site

$150K - $200K/yr

Work closely with Agent Engineers and Solutions Architects to translate customer requirements into ... In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere ...

ImmunityBio

Software Engineer, AI

New York, NY

The Software Engineer - AI will contribute to AI agent development and collaborate with cross-functional teams on the implementation of production-grade AI systems. This role supports Engineering ...

TWG Global AI

Senior Engineer, AI Engineering

Manhattan, NY · On-site

$190K - $200K/yr

Mentor junior engineers and support peer learning Requirements Qualifications: * 4+ years experience developing and deploying AI-powered systems, including agent-based workflows, tool orchestration ...

Regal

AI Product Specialist

New York, NY · On-site

Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal ...

Applied Labs

AI Agent Product Manager

New York, NY · On-site

$150K - $200K/yr

Build AI products from 0 → 1 As an AI Agent Product Manager at Applied Labs, you will work directly with engineers and customers to define, build, and launch AI-powered products that transform how ...

Regal

AI Product Specialist

New York, NY

$90K - $120K/yr

Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal ...

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All JobsAi Agent Developer JobsJunior Ai Agent Developer JobsJunior Ai Agent Developer Jobs in Ridgewood, NJ

Junior Ai Agent Developer information

See Ridgewood, NJ salary details

$24.3K

$90K

$139.1K

How much do junior ai agent developer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior ai agent developer in Ridgewood, NJ is $90,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $88,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI agent developer?

To thrive as a Junior AI Agent Developer, you need a solid background in programming (especially Python), foundational knowledge of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, experience using version control systems (e.g., Git), and understanding APIs are commonly required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and learn rapidly in a dynamic field. These skills ensure you can contribute to developing, testing, and refining AI agents that perform reliably and efficiently.

What does a junior AI agent developer do?

A Junior AI Agent Developer assists in designing, developing, and testing intelligent software agents that can perform tasks autonomously or interact with users. They typically work under the supervision of senior developers, contributing to coding, debugging, and integrating AI algorithms into applications. Their responsibilities may also include data preprocessing, model training, and monitoring agent performance. Junior developers often collaborate with team members to learn best practices and improve their technical skills in AI development.

What is the difference between Junior Ai Agent Developer vs AI Software Engineer?

AspectJunior Ai Agent DeveloperAI Software Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, AI, or related; advanced certifications
Work EnvironmentStart-up, tech companies, AI labs; collaborative teamsTech firms, research institutions; more complex projects
Employer & Industry UsageAI startups, tech companies, industries adopting AILarge tech firms, R&D departments, AI-focused companies
Common Search & ComparisonYesNo

The Junior Ai Agent Developer typically focuses on developing and implementing AI agents under supervision, while an AI Software Engineer handles more complex AI system design, optimization, and integration. The roles differ mainly in experience level and project complexity, with the AI Software Engineer requiring more advanced skills and experience.

What are some typical challenges faced by junior AI agent developers when working on real-world projects?

Junior AI Agent Developers often encounter challenges such as adapting to rapidly evolving AI frameworks, integrating agent models with existing software systems, and debugging complex machine learning pipelines. Additionally, collaborating effectively with data scientists, backend engineers, and product managers requires strong communication skills and a willingness to learn from more experienced colleagues. Overcoming these challenges provides valuable learning experiences and helps build a solid foundation for career advancement in AI development.

What are popular job titles related to Junior Ai Agent Developer jobs in Ridgewood, NJ?

For Junior Ai Agent Developer jobs in Ridgewood, NJ, the most frequently searched job titles are:

What cities near Ridgewood, NJ are hiring for Junior Ai Agent Developer jobs?

Cities near Ridgewood, NJ with the most Junior Ai Agent Developer job openings:

Junior Ai Agent Developer jobs near you
Infographic showing various Junior Ai Agent Developer job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 69% Full Time, 24% Part Time, and 7% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $90,024 per year, or $43.3 per hour.

Staff Machine Learning Engineer, AI Agent Platform

GEICO

New York, NY • On-site

Full-time

Re-posted 6 days ago

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

163rd of 307 rated insurance

Job description

Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Staff Machine Learning Engineer, AI Agent Platform
The GEICO AI Agent Platform team is seeking an exceptional Staff ML Engineer to build the next generation enterprise AI Agent OS and SDKs. You will design, implement, and maintain scalable backend systems that enable business, product, and engineering teams to build, test, and deploy their own AI agents & workflows. In 2026, the agentic AI landscape is maturing rapidly - with standardized protocols (MCP, A2A), AI agent skill ecosystems, harness engineering, context engineering, and governance-first design becoming table stakes. You will help GEICO stay at the forefront. The candidate must have excellent communication skills and a proven track record of delivering business value via technical excellence.
Key Responsibilities
Platform Engineering
  • Architect scalable multi-tenant backend systems for AI agent workflows - including AI agent configuration, evaluation, synthetic data generation, workflow simulation & evaluation, MCP server registry, A2A communication infrastructure, and guardrail enforcement layers using AKS, FastAPI, etc.
  • Build an enterprise AI agent skill ecosystem - a platform for authoring, publishing, discovering, versioning, and governing reusable skill packages that encode domain expertise into portable modules. Implement an internal skill marketplace with search/discovery, quality scoring, security vetting pipelines, approval workflows, and progressive disclosure loading.
  • Implement production-grade AI agent harnesses - the non-model infrastructure (tool dispatch, context management, error recovery/self-healing, session state, sub-agent coordination) that makes AI agents reliable for long-running tasks. Design feedforward guides (linters, type checkers, architecture constraints) and feedback sensors (test execution, LLM-as-judge, semantic analysis) mixing computational and inferential controls.
  • Build and optimize context engineering systems - memory hierarchies (short-term, working, long-term), RAG pipelines, scratchpads, context compaction/summarization, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time while minimizing token waste.
  • Develop observability frameworks (OpenTelemetry, distributed tracing) with LLM-specific telemetry: token usage, latency profiling, hallucination detection, AI agent behavior auditing, and skill execution monitoring.

AI Safety, Governance & Guardrails
  • Design layered guardrail architectures (input validation, prompt injection defense, PII detection, output verification) with parallelized enforcement for minimal latency impact.
  • Implement skill-level governance: security vetting for hidden payloads, credential theft, and data exfiltration risks; authoring standards; conflict resolution; version management; and deprecation workflows.

Technical Leadership
  • Act as tech lead for a sub-team, setting direction and ensuring consistency in design principles. Provide hands-on mentorship during design reviews, code assessments, and performance tuning.
  • Establish engineering standards for ML infrastructure, harness engineering patterns, skill authoring, and deployment practices. Create documentation, runbooks, and training on platform capabilities.
  • Collaborate cross-functionally with data scientists, engineers, and product teams. Translate complex technical concepts for diverse stakeholders.

Qualifications
Technical Skills
  • Bachelor's in CS, Engineering, or related field; advanced degree highly desirable.
  • 6+ years designing, implementing, and maintaining multi-tenant AI/ML systems in production.
  • 6+ years with cloud platforms (Azure, AWS) and backend systems (Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4j). Deep understanding of Docker, Prometheus, and OpenTelemetry.
  • Deep proficiency in Python, Java, or Go. Extra credit for effectively leveraging AI coding tools (Cursor, Claude Code, GitHub Copilot).
  • Proficiency in AI/ML and agentic frameworks (TensorFlow, PyTorch, LangGraph, CrewAI, AutoGen).

Leadership Skills
  • Demonstrated track record mentoring engineers and leading technical initiatives.
  • Excellent communication across diverse seniority levels and professional backgrounds.

Preferred Specialized Skills
  • Experience with harness engineering concepts and practices such as tool dispatch, error recovery, session state, permissions, sub-agent coordination, planning & reasoning w. feedback loops, etc..
  • Experience designing AI agent skill systems - reusable capability packages, skill registries/marketplaces with discovery, versioning, security vetting, and governance controls.
  • Hands-on experience with MCP (server development, registries) and A2A (AI agent card discovery, task delegation).
  • Experience with LLM observability (LangSmith, Langfuse, Arize Phoenix) and guardrail systems (prompt injection defense, PII scanning, skill-level security auditing).
  • Experience with multi-agent orchestration, both open-source (Llama, Qwen, Mistral) and proprietary (GPT, Claude) LLMs, and no-code/low-code AI agent development environments.

If you are passionate about pushing the boundaries of generative AI platforms, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply.
Annual Salary
$115,000.00 - $260,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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