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within

<div>About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization.

In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases.

Your work will directly impact 200&ndash;500 employees and potentially clients, making AI a core productivity multiplier across the organization.

Responsibilities include but are not limited to:
<ul>
<li>LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs.</li>
<li>Agent &amp; Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations.</li>
<li>Context &amp; Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations.</li>
<li>Reliability &amp; Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies.</li>
<li>Evaluation &amp; Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics.</li>
<li>Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations.</li>
<li>Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals.</li>
<li>Continuous Innovation Stay current with advances in LLM systems, agent architectures, and applied AI tooling to continuously improve Rai's capabilities.</li>
</ul>
Requirements
<ul>
<li>Strong programming skills in Python with experience building production systems.</li>
<li>Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.).</li>
<li>Deep understanding of:</li>
<li><ul><li>Context windows and token limits</li>
<li>Multi-turn conversation behavior</li>
<li>Tool/function calling</li>
<li>Structured outputs (JSON schema)</li>
<li>Prompt design and failure modes</li>
</ul></li><li>Experience integrating external APIs into production systems.</li>
<li>Proficiency in SQL.</li>
<li>Experience working with cloud platforms (GCP, AWS, or Azure).</li>
<li>Strong problem-solving skills and ability to debug complex system behavior.</li>
<li>Excellent communication and cross-functional collaboration skills.</li>
</ul>
Strong Plus
<ul>
<li>Experience designing evaluation frameworks for LLM-powered systems.</li>
<li>Understanding of embeddings, vector search, and RAG architectures.</li>
<li>Experience building agent or multi-agent workflows.</li>
<li>Experience with stateful execution environments or sandboxed code execution.</li>
<li>Experience with document automation (Google Docs, Slides, PDFs).</li>
<li>Experience building internal developer tools or productivity platforms.</li>
<li>TypeScript.</li>
</ul>
Required knowledge of:
<ul>
<li>Python</li>
<li>SQL</li>
<li>Cloud Platforms (GCP, AWS, Azure)</li>
<li>LLMs / AI APIs</li>
<li>Git / GitHub</li>
</ul>
Nice to have:
<ul>
<li>Data Warehouses (BigQuery, Snowflake, Redshift)</li>
<li>Data Transformation (dbt)</li>
<li>Semantic Layers (Cube, Looker, dbt Metrics)</li>
<li>TypeScript</li>
</ul>
Our interview process includes, but is not limited to the following:
<ul>
<li>Excel and Typing Test</li>
</ul>
We offer a competitive salary and benefits based on ability level, including:
<ul>
<li>Unlimited vacation policy</li>
<li>Monthly Phone Stipend</li>
<li>Comprehensive Medical, Dental, and Vision insurance options</li>
<li>401(K) plan with matching</li>
<li>Dog friendly office</li>
<li>Hybrid work opportunity</li>
<li>Professional Development Program</li>
<li>Bonus Perk - Seamless allowance</li>
</ul>
Base salary based on education, experience, and skills level ($145,057-$296,054)
<ul>
<li>Level 1 - Possesses essential capabilities
<ul>
<li>$145,057-$175,256
</li>
</ul></li><li>Level 2 - Possesses developing capabilities
<ul>
<li>$175,256-$205,456
</li>
</ul></li><li>Level 3 - Possesses notable capabilities.
<ul>
<li>$205,456-$235,655
</li>
</ul></li><li>Level 4 - Possesses strong capabilities.
<ul>
<li>$235,655-$265,855
</li>
</ul></li><li>Level 5 - Possesses advanced capabilities.
<ul>
<li><ul><li>$265,855-$296,054</li></ul> 
</li>
</ul></li></ul><div>About WITHIN &amp; Brkfst.io

WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own.

Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems.

Check out some of our work!

Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale.

We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, &amp; more!

This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us.

We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed.
<div>
<div><div><div><div><div><div><div>Join Our Network!

Stay connected with us and be the first to know about new opportunities, industry insights, and updates.

Follow us on:
<ul>
<li>LinkedIn</li>
<li>WhatsApp Community</li>
<li>Instagram</li>
<li>Tik Tok</li>
</ul>
</div><div>Locations
<ul>
<li>New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States</li>
<li>Bogot&aacute;: WeWork Av. Carrera 19 #100-45 Usaqu&eacute;n, Piso (Floor) 10, Bogot&aacute;, Distrito Capital de Bogot&aacute; 110111, Colombia</li>
<li>Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de M&eacute;xico, CDMX 06500, M&eacute;xico</li></ul></div></div></div></div></div></div></div></div></div></div>

AI Engineer

Bustem.com

<div>
 
 
 Founding Engineer | Bustem
 
 
 
 Location: New York City (In Office)
 
 
 
 
 
 
 About:
 
 
 
 At
 
 Bustem
 
 , we&rsquo;re building AI powered brand protection for eCommerce brands. We protect brands from fake listings, impersonation, and copycats across marketplaces, social platforms, and the open web, turning what used to be a messy, manual process into something fast, systematic, and effective.
 
 
 
 
 
 In less than twelve months, we&rsquo;ve scaled to over $3M in revenue and partnered with more than 150 top e-commerce brands, including Comfrt Clothing, Plunge, Primal Queen, and Jones Road Beauty. We&rsquo;re profitable, growing quickly, and haven&rsquo;t raised a dollar.
 
 
 
 
 
 We&rsquo;re now hiring early team members to help build the next phase of Bustem. This is a rare chance to join a company that already has strong product-market fit, real traction, and momentum, while still being early enough to shape the product, the systems, and the culture. If you like ownership, speed, and building things that actually ship and matter, you&rsquo;ll feel at home here.
 
 
 
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for a Founding Engineer to help us build the technical backbone of Bustem.
 
 
 Your North Star: build scalable, reliable systems that detect and remove counterfeit activity faster and more effectively than our brand protection team.
 
 
 
 
 
 As a Founding Engineer, you&rsquo;ll be working on core infrastructure and product systems that directly power our customers&rsquo; results. You&rsquo;ll have real ownership, minimal process overhead, and the ability to design and ship end-to-end systems, not just small pieces of them.
 
 
 
 
 
 This role is for someone who likes autonomy, ambiguity, and responsibility. You&rsquo;ll be expected to think deeply about architecture, move quickly, and make good tradeoffs without needing constant direction.
 
 
 
 
 
 
 What You&rsquo;ll Work On
 
 
 
 You&rsquo;ll spend the majority of your time across two core initiatives:
 
 
 
 
 
 
 1. Real-Time Infringer Detection
 
 
 <ul>
 <li>
 Build and scale Bustem&rsquo;s AI-powered web scraping and detection systems
 </li>
 <li>
 Improve speed, reliability, and coverage across marketplaces, social platforms, and the open web
 </li>
 <li>
 Design systems that can detect new infringers as they appear, in real time
 </li>
 <li>
 Work with large volumes of data and constantly changing external environments
 </li>
 </ul>
 
 
 
 
 
 2. Autonomous Enforcement &amp; Reporting
 
 
 <ul>
 <li>
 Build and evolve Bustem&rsquo;s autonomous enforcement agents
 </li>
 <li>
 Enable automated reporting of infringers to platforms at scale
 </li>
 <li>
 Design workflows that can handle hundreds of infringers across hundreds of clients simultaneously
 </li>
 <li>
 Improve accuracy, success rates, and throughput of enforcement actions
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, build, and maintain scalable internal APIs and backend systems
 </li>
 <li>
 Own features end-to-end: from architecture to implementation to production
 </li>
 <li>
 Work primarily with Next.js, Postgres, and modern backend infrastructure
 </li>
 <li>
 Leverage LLMs and automation to move faster and reduce manual work
 </li>
 <li>
 Collaborate closely with product, ops, and customer-facing teams
 </li>
 <li>
 Make pragmatic technical decisions that balance speed, quality, and scale
 </li>
 <li>
 Continuously improve system performance, reliability, and maintainability
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 3 - 7 years of experience as a software engineer, ideally in a startup or high-growth environment.
 </li>
 <li>
 Strong experience with Next.js and Postgres
 </li>
 <li>
 Experience building scalable internal APIs and backend systems
 </li>
 <li>
 Comfort working with little supervision and a high degree of ownership
 </li>
 <li>
 Ability to take vague problems and turn them into shipped solutions
 </li>
 <li>
 Adept at using LLMs and AI tooling to move faster and build smarter systems
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience working on large-scale or high-traffic systems
 </li>
 <li>
 Background in scraping, data pipelines, automation, or distributed systems
 </li>
 <li>
 Experience in eCommerce, marketplaces, or platform integrations
 </li>
 </ul>
 
 
 
 
 We value people who can build complete systems. If you&rsquo;ve worked at big tech, that&rsquo;s great, but what matters most is your ability to design, own, and ship meaningful systems independently.
 
 
 
 
 
 
 Why Join Bustem
 
 
 <ul>
 <li>
 Build core systems that directly drive customer value and revenue
 </li>
 <li>
 Real ownership and influence over technical direction
 </li>
 <li>
 Work directly with the founding team
 </li>
 <li>
 No legacy code, no heavy process, no endless meetings
 </li>
 <li>
 A profitable company with real traction and momentum
 </li>
 </ul>
 
 
</div>

Founding Software Engineer

Waymo

<div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. 


You will:
<ul>
<li>Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo&rsquo;s systems, both onboard autonomous vehicles and offboard in simulation
</li>
<li>Drive the development or significantly contribute to end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire life-cycle from pre-training and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents
</li>
<li>Partner with cross-functional teams within the organization to land innovative tech in production
</li>
<li>Implement and extend large large scale data and evaluation pipelines.
</li>
</ul>You have:
<ul>
<li>Bachelor or Master&rsquo;s degree in Computer Science, similar technical field of study, or equivalent practical experience
</li>
<li>Experience in ML engineering and applied Deep Learning
</li>
<li>Experience with large scale distributed system
</li>
<li>Proficient programming skills (eg: Python, C/C++)
</li>
</ul>We prefer:
<ul>
<li>ML infra experience: training, evaluating and deploying ML models at scale
</li>
<li>Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning
</li>
<li>Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow) 
</li>
</ul><div><div><div>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div>

Senior Machine Learning Engineer – VLM/LLM Evaluation

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 </li>
 <li>
 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in computer science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures and algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 AI will change the future of work in profound ways, and our products&mdash; Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
 
 
 The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Full Stack, Workspace

Objective Partners

<div>
 Role: Full-Stack Software Engineer &ndash; Blockchain &amp; Data Infrastructure
 
 
 We&rsquo;re working with a cutting-edge tech firm that's seeking a nimble, high-impact engineer to join a small and elite team building systems that sit at the intersection of finance, blockchain, and data visualization. This is a rare chance to touch every layer of the stack&mdash;backend services, frontend applications, data pipelines, and internal tools&mdash;all while leveraging the latest in AI-driven development.
 
 
 
 Your Mission
 
 
 
 <ul>
 <li>
 Architect and implement systems that ingest and process large volumes of on-chain data
 </li>
 <li>
 Create intuitive dashboards and UI components used by a growing base of highly engaged users
 </li>
 <li>
 Design innovative database schemas to support tokenization of next-generation digital assets
 </li>
 <li>
 Build internal tooling and data pipelines leveraged by global institutional investors
 </li>
 <li>
 Work autonomously in a fast-moving, exploratory environment where speed and precision both matter
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 At least 2 years of hands-on experience writing production-grade code
 </li>
 <li>
 Proficiency in a modern backend language such as Python, Go, or similar
 </li>
 <li>
 Solid front-end development skills using TypeScript and React
 </li>
 <li>
 Understanding of relational database design and best practices
 </li>
 <li>
 High attention to detail, a builder&rsquo;s mindset, and a bias for shipping
 </li>
 <li>
 Ability to navigate ambiguity and operate independently with limited oversight
 
 
 </li>
 </ul>
 
 The Interview Loop
 
 
 
 <ul>
 <li>
 Chat with the CTO and co-founder about your past projects and how you think through technical challenges
 </li>
 <li>
 Choose between a live technical session or a take-home assessment
 </li>
 <li>
 Spend a half-day onsite for deeper technical and team-fit interviews
 </li>
 <li>
 Final step includes reference checks and standard background verification
 </li>
 </ul>
</div>

Software Engineer

Tagup

<div>
 Tagup is a defense technology company founded at MIT that is redefining logistics superiority with next-generation AI. We&rsquo;re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world&rsquo;s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.
 
 
 Do you love learning? Do you like understanding many parts of a system, not just one small section? Do you enjoy sharing your knowledge with others, and learning things from them in turn? If the answer is yes, we&rsquo;d love to talk!
 
 
 We&rsquo;re a team of engineers and data scientists driven by our mission: to make the machines and processes that power the world safer, more reliable, and more efficient. Tagup's AI software directly controls large-scale industrial equipment and logistics systems, ensuring our customers get the best performance they can.
 
 
 As a Software Engineer, you will help create and maintain the services that allow us to deliver value to our customers. This includes building out our API, databases, ETL processes, and more! You will have the opportunity to work on tasks ranging from writing high performance SQL queries that support our API to building high throughput data pipelines that feed our AI models.
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 You are fluent in Python and SQL
 </li>
 <li>
 You have built and deployed APIs
 </li>
 <li>
 You can clearly communicate pros and cons of design decisions
 </li>
 <li>
 You write clean code that is well tested and easy to maintain
 </li>
 <li>
 You've worked with kubernetes
 </li>
 <li>
 You proactively seek and share ways to personally improve
 
 
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with AWS and Terraform
 </li>
 <li>
 Experience with REST APIs written in python
 </li>
 <li>
 Experience with writing robust integration tests
 </li>
 <li>
 Knowledge of computer networking
 
 
 
 
 
 </li>
 </ul>
 Salary
 
 
 The estimated salary range for this position is between $85,000 and $140,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees&rsquo; experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions.
 
 
 As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company&rsquo;s 401K plan, and foster a team-oriented work environment with regular company outings!
 
 
 Why Join Us?
 
 
 At Tagup, your code powers mission-critical systems in defense and aviation. You&rsquo;ll work across the stack, tackle challenging problems, and grow quickly as part of a fast-moving, collaborative team making AI that truly matters.
 
 
 Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.
 
 
 Citizenship
 
 : Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Con Edison

<div>Overview
The Junior Network Systems &amp; Platform Engineer is responsible for supporting the operation, maintenance, and continuous improvement of the organizations IP network platforms and associated systems. This role assists in ensuring platform stability, supporting lifecycle management activities, and contributing to the accuracy of operational tools that maintain the organizations inventory and configuration source of truth. The position also participates in automation and modernization initiatives using AI assisted development and coding tools.
Responsibilities
Core Responsibilities<ul><li>
Support the monitoring, maintenance, and administration of IP network systems, platforms, and operational tools.</li><li>
Assist with software, firmware, and hardware upgrades across network and platform infrastructure.</li><li>
Contribute to maintaining high accuracy and low error rates within inventory and configuration source of truth systems.</li><li>
Perform routine system health checks, patching, configuration updates, and validation activities.</li><li>
Troubleshoot basic issues related to network platform performance, system behavior, or infrastructure components.</li><li>
Maintain accurate documentation of configurations, operational procedures, and system changes.</li><li>
Utilize AI assisted development and coding tools to support automation and workflow optimization.</li><li>
Collaborate with senior engineers to implement operational improvements and adhere to established best practices.</li></ul>
Qualifications
Required Education/Experience<ul><li>
Bachelor's Degree with a minimum of two (2) years of relevant work experience or</li><li>
Associate's Degree with a minimum of four (4) years of relevant work experience or</li><li>
High School Diploma/GED with a minimum of five (5) years of relevant work experience.</li></ul>
Preferred Education/Experience<ul><li>
Bachelor's Degree preferably in Information Technology or Engineering and a minimum of two (2) years of relevant work experience.</li><li>
Associate's Degree preferably in IT and a minimum of four (4) years of relevant work experience.</li></ul>
Relevant Work Experience<ul><li>
Exposure to scripting languages (e.g., Python, Bash, PowerShell) or network automation frameworks, required.</li><li>
Strong attention to detail, organizational skills, and willingness to learn in a technical environment, required.</li><li>
Foundational understanding of IP networking concepts, including routing, switching, VLANs, and network protocols, preferred.</li><li>
Basic knowledge of network systems, servers, virtualization, and monitoring platforms, preferred.</li><li>
Demonstrated interest in automation, AI assisted development, and modern network engineering practices, preferred.</li></ul>
Skills and Abilities<ul><li>
Demonstrated written communication skills</li><li>
Demonstrated problem solving skills</li><li>
Must be proficient in Microsoft Office including Word, Excel, Outlook and PowerPoint, etc.</li></ul>
Licenses and Certifications<ul><li>
Driver's License Required</li></ul>
Physical Demands<ul><li>
Sit or stand to answer a phone for the duration of the workday</li><li>
Sit or stand to use a keyboard, mouse, and computer for the duration of the workday</li><li>
Ability to read small print and symbols</li></ul>
Additional Physical Demands<ul><li>
The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.</li><li>
The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.</li></ul></div>

Junior Network Systems & Platform Engineer

Explore 100+ Ai engineer in New York this February. Find roles across top companies and apply now to boost your career.

100 ai engineer jobs In New York

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Senior Machine Learning Engineer – VLM/LLM Evaluation

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Junior Network Systems & Platform Engineer