ai product engineer

McKesson

<div>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.
McKesson's Group Purchasing Organization (GPO) team delivers innovative sourcing, contracting, analytics, and operational solutions that help healthcare organizations improve efficiency, reduce costs, and make informed business decisions. By combining industry expertise with data-driven insights and technology-enabled solutions, the GPO organization supports critical business functions across McKesson and its customers.
As aSenior AI Product Engineer, you will design, build, and own AI-powered products that support complex business workflows and decision-making processes. This role combines product ownership, software engineering, and AI solution development to deliver scalable tools that create measurable business value. You will work closely with business stakeholders, data teams, and technology partners to transform business challenges into AI-driven products that improve efficiency, automation, and insight generation.
This position is remote and candidates must reside within commuting distance of eitherThe Woodlands, TXorIrving/Las Colinas, TXand be available to attend onsite meetings as needed.
Key Responsibilities
<ul><li>Partner with business subject matter experts to understand workflows and translate requirements into scalable product solutions.</li>
<li>Collaborate with cross-functional teams to identify opportunities for automation and process optimization.</li>
<li>Design, develop, and deploy AI-powered applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), intelligent workflows, and related technologies.</li>
<li>Build and maintain data pipelines and integrations required to support AI-powered solutions.</li>
<li>Integrate internal and external data sources to create scalable, reliable, and actionable intelligence solutions.</li>
<li>Implement controls that improve solution quality, including source attribution, confidence scoring, auditability, and human review processes where appropriate.</li>
<li>Develop user-focused products and experiences that drive adoption and measurable business impact.</li>
<li>Define, monitor, and report key success metrics including user adoption, productivity gains, operational efficiencies, and business outcomes.</li>
<li>Support production AI applications through monitoring, troubleshooting, and continuous improvement efforts.</li>
<li>Document technical designs, data flows, governance considerations, and operational procedures.</li>
<li>Partner with data engineering, analytics, and operations teams to leverage enterprise data assets and shared technology platforms.</li>
<li>Contribute to the broader AI strategy by evaluating emerging technologies and recommending innovative solutions.</li>
</ul>Minimum Requirement
Typically requires4+ years of related experience and a bachelor's degreein computer science, engineering, information systems, data science, or a related field, or equivalent experience.
Education
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field, or equivalent professional experience.
Critical Skills
<ul><li>4+ years of software engineering experience with proficiency in Python and SQL.</li>
<li>Experience designing and implementing data pipelines, integrations, and cloud-based applications.</li>
<li>Experience building AI, machine learning, generative AI, intelligent workflows or LLM-powered solutions.</li>
<li>Knowledge of modern cloud platforms such as Azure, AWS, or Google Cloud Platform.</li>
<li>Experience integrating third-party data sources and APIs.</li>
<li>Full-stack development experience, including front-end application development and data visualization.</li>
<li>Ability to translate business requirements into technical solutions and product capabilities.</li>
<li>Strong analytical, problem-solving, and critical-thinking skills.</li>
<li>Strong verbal and written communication skills with the ability to collaborate across technical and business teams.</li>
</ul>Additional Skills
<ul><li>Experience delivering solutions independently in dynamic and evolving environments.</li>
<li>Experience developing products from concept through deployment and user adoption.</li>
<li>Familiarity with AI governance, model evaluation, prompt engineering, and solution monitoring.</li>
<li>Ability to influence stakeholders and drive alignment without formal authority.</li>
<li>Demonstrated curiosity, innovation, and continuous learning in emerging AI technologies.</li>
</ul>Physical Requirements
<ul><li>General office environment.</li>
<li>Significant computer and keyboard usage required.</li>
<li>Ability to attend onsite meetings as needed.</li>
</ul>Travel
<ul><li>Up to 10% travel.</li>
</ul>McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration-related employment benefit for this role.
Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration-related employment authorization (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, etc.) now or in the future.
If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson,
Our Base Pay Range for this position
$108,700 - $181,100
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
 
 
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. 
 
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
Join us at McKesson!</div>

AI Product Engineer

SpaceX

<div><div>SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.</div>
APPLICATION SOFTWARE ENGINEER, APPLIED AI

The application software team is the central nervous system of SpaceX &ndash; we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.

In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems&mdash;including large language models and agentic systems&mdash;that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.

Aerospace experience is not required &ndash; rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.

RESPONSIBILITIES:
<ul>
<li>Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations</li>
<li>Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities</li>
<li>Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production</li>
<li>Deep dive into users' problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions</li>
<li>Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment</li>
<li>Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost</li>
<li>Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs</li>
</ul>
BASIC QUALIFICATIONS:
<ul>
<li>Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree</li>
<li>1+ years of experience in full stack development</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE:
<ul>
<li>Hands-on experience evaluating, deploying, and integrating AI models into production systems</li>
<li>Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features</li>
<li>Proven track record of shipping real-world AI products from prototype through production deployment and iteration</li>
<li>Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs</li>
<li>Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)</li>
<li>Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment</li>
<li>Previous experience in AI product design, development, integration, testing, and productionization</li>
<li>Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code</li>
<li>Programming experience in Python, C#.NET, Go, Scala, Java, or similar</li>
<li>Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)</li>
<li>Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)</li>
<li>Demonstrated ability to stay current with rapidly evolving AI technologies and best practices</li>
<li>Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment</li>
</ul>
ADDITIONAL REQUIREMENTS:
<ul>
<li>You may be asked to work extended hours/weekends dependent on launch cadence</li>
<li>This role requires you to be onsite. Remote and/or hybrid work will not be considered</li>
<li>Ability to pass Air Force background check for Cape Canaveral</li>
</ul><div>
ITAR REQUIREMENTS:
<ul>
<li>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. &sect; 1157, or (iv) Asylee under 8 U.S.C. &sect; 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.</li>
</ul>
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.</div></div>

Application Software Engineer, Applied AI

banking.TOP

<div>
 Who We Are
 
 
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 
 
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 
 
 
 About The Role
 
 
 
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 
 
 We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 
 
 
 Role
 
 
 
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 
 
 <ul>
 <li>
 AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
 </li>
 <li>
 Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
 </li>
 <li>
 Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
 
 
 </li>
 </ul>
 What You&rsquo;ll Achieve
 
 
 <ul>
 <li>
 Partner with your team to prototype and ship an AI-powered product improvement
 </li>
 <li>
 Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
 </li>
 <li>
 Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
 </li>
 <li>
 Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
 </li>
 <li>
 Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
 </li>
 <li>
 Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
 
 
 </li>
 </ul>
 Nice to Haves
 
 
 <ul>
 <li>
 You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
 </li>
 <li>
 You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
 A Note on AI
 
 
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 
 
 Equal Opportunity &amp; Accommodations
 
 
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
</div>

Software Engineer, Early Career (AI)

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

Kentan Staffing Solutions

<div><div><h1 class="jobSectionHeader">Founding Software Engineer
</h1>Location: New York, NY (Onsite)
Employment Type: Full-Time | Direct Hire
Compensation: $200,000&ndash;$220,000 Base Salary + Equity (Competitive Benefits)
Interview Process: 3 Interviews
<h2 class="jobSectionHeader">Position Overview
</h2>Our client, a rapidly growing AI startup revolutionizing the insurance industry, is seeking a Founding Software Engineer to join its core Engineering team. This is a unique opportunity to become an early engineering hire, helping build the platform that powers enterprise AI agents used by some of the world's largest insurance carriers.
This role is ideal for an experienced software engineer who thrives in early-stage startup environments and enjoys solving complex distributed systems challenges. You'll play a foundational role in designing scalable infrastructure, developing AI-powered platforms, and building the engineering systems that enable rapid product innovation.
The ideal candidate is highly autonomous, technically exceptional, and excited by the opportunity to own critical systems from architecture through production. Culture fit is extremely important&mdash;the team values individuals who are personable, collaborative, scrappy, and capable of moving quickly with minimal direction.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Design, build, and maintain the core platform powering AI agents across the organization.
</li><li>Develop highly scalable backend services and infrastructure using TypeScript, SQL, and modern cloud technologies.
</li><li>Build and optimize agent orchestration, execution platforms, and developer tooling.
</li><li>Design resilient distributed systems with fault tolerance, observability, retries, and graceful degradation.
</li><li>Develop internal platforms that improve engineering productivity, CI/CD pipelines, and automation workflows.
</li><li>Partner closely with Forward Deployed Engineers to rapidly transform customer feedback into production-ready features.
</li><li>Write technical specifications, review architecture, and deliver high-quality production code.
</li><li>Improve platform reliability, performance, security, and scalability while supporting rapid company growth.
</li><li>Contribute to engineering best practices, code reviews, and long-term platform strategy.
</li></ul><h2 class="jobSectionHeader">Required Qualifications
</h2><ul><li>4+ years of experience building production software in a Software Engineer, Backend Engineer, or Platform Engineer role.
</li><li>Strong programming experience with TypeScript and SQL .
</li><li>Experience designing and building scalable backend systems and distributed applications.
</li><li>Strong understanding of system architecture, APIs, databases, and cloud infrastructure.
</li><li>Experience building highly reliable systems with monitoring, observability, retries, circuit breakers, and fault tolerance.
</li><li>Experience working in regulated or security-conscious environments with strong auditing and compliance requirements.
</li><li>Self-starter with exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.
</li><li>Must be located in or willing to relocate to New York City.
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications
</h2><ul><li>Experience building AI, LLM, or agent-based platforms.
</li><li>Experience with developer platforms, CI/CD automation, and internal engineering tooling.
</li><li>Background building high-performance distributed systems or infrastructure platforms.
</li><li>Experience working in high-growth startups or founding engineering teams.
</li><li>Familiarity with cloud-native architecture, containerization, and modern DevOps practices.
</li></ul><h2 class="jobSectionHeader">What We're Looking For
</h2><ul><li>Highly autonomous engineer who takes full ownership from concept to production.
</li><li>Scrappy, resourceful, and thrives in ambiguous, fast-moving environments.
</li><li>Strong technical leader with a builder's mindset and passion for creating scalable systems.
</li><li>Collaborative team player who enjoys working closely with product, engineering, and customer-facing teams.
</li><li>Passionate about leveraging AI to solve complex, real-world business challenges.
</li></ul>This is an exceptional opportunity to join a venture-backed AI startup at an early stage, working alongside an elite engineering team to build the next generation of autonomous AI systems while making a significant impact on both the product and the future direction of the company.</div></div>

Founding Software Engineer

KeyBank

<div>Location:
4910 Tiedeman Road, Brooklyn Ohio
Department: Contact Center Technology 
Experience: 4+ years<h3 class="jobSectionHeader">
About the Role</h3>
KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.
Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.
The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.</li><li>
Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.</li><li>
Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.</li><li>
Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.</li><li>
Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.</li><li>
Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.</li><li>
Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.</li><li>
Provide technical mentorship and code review support while contributing directly to development efforts.</li><li>
Establish engineering best practices for AI solution development, testing, deployment, and observability.</li><li>
Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.</li><li>
Ensure solutions comply with security and regulatory requirements (PII / PCI).</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role.</li><li>
Strong hands-on experience building and deploying AI-powered applications and services.</li><li>
Strong, hands-on experience with Node.js / TypeScript.</li><li>
Proven experience designing and delivering cloud-native solutions on GCP.</li><li>
Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.</li><li>
Solid understanding of microservices architecture, APIs, and distributed systems.</li><li>
Hands-on Kubernetes experience, including GKE cluster setup and platform operations.</li><li>
Experience with IVR, voice bots, conversational AI, or contact center technologies.</li><li>
Strong collaboration skills across engineering, product, and operations teams.</li><li>
Excellent technical judgment, communication, and problem-solving skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).</li><li>
Experience developing AI agents, orchestration workflows, and multi-agent solutions.</li><li>
Knowledge of voice flows, call routing, containment, and agent escalation.</li><li>
Experience working in regulated or financial services environments.</li><li>
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.</li><li>
Experience working in Agile delivery models at enterprise scale.</li><li>
Demonstrated experience with Agentic &quot;Vibe Coding&quot; &mdash; rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.</li></ul>
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 09/11/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. 

#LI-Remote</div>

Lead AI Engineer

Ejam, Inc.

<div>Location: Santa Ana, California &mdash; on-site 
Employment type: Full-time 
Salary: $120,000 &ndash; $155,000
About us
Created.ai is an AI-powered creative platform combining text, image and video generation into production tools for commercial creative work. The platform is operated by eJam, a multi-brand consumer products and technology company.
We are expanding our engineering team with two appointments covering our AI platform infrastructure and our product engineering surface. Both roles carry substantial technical ownership and report directly into engineering leadership.
This position is AI-native by design. Our engineers work with agentic coding tools as a primary part of their daily workflow, which allows a small team to operate at a scope that would conventionally require a much larger one. We are looking for engineers whose judgement, architectural thinking and review discipline scale that leverage rather than being replaced by it.
Role summary
We are seeking a Mid-Level Engineer to build and ship features across the created.ai product experience &mdash; from the browser client through our NestJS API to the Python AI services that power generation, and back out to how results are presented in the interface.
You will work within an established architecture rather than defining it. A staff engineer sets the platform patterns and a senior engineer reviews your design decisions; your job is to take a well-specified problem, build it properly across the stack, and ship it to production. Over time we expect you to take on progressively larger and less-specified pieces of work.
This suits an engineer with two to four years of production experience who is stronger than their years suggest, wants to work on generative creative tooling, and would rather ship user-facing product than maintain someone else's backlog.
Key responsibilities<ul><li>
Build and ship end-to-end product features across the request path, working from specifications you help refine</li><li>
Implement asynchronous user experiences &mdash; progress states, partial failures and recovery paths &mdash; using the patterns our platform already establishes</li><li>
Consume and extend typed API contracts between the web client, NestJS services and Python AI services</li><li>
Build interface components that are consistent with our existing design and component system</li><li>
Write and maintain automated tests for the code you ship, at unit and integration level</li><li>
Take part in code review, both giving and receiving it, and act on the feedback</li><li>
Work with product colleagues to turn creative-tooling ideas into shippable scope</li></ul> 

Requirements 
<ul><li>
Two to four years of professional software engineering experience shipping to production</li><li>
Strong React and TypeScript &mdash; you have built and maintained real components in a real codebase, and you understand the type system rather than fighting it</li><li>
Comfortable in a modern React toolchain (Next.js, Vite or comparable)</li><li>
Working knowledge of a Node.js backend framework and a relational database &mdash; you can add an endpoint, write a query and reason about the data model</li><li>
Experience with asynchronous UI: loading and error states, polling or streaming, and what to show a user when something takes thirty seconds or fails halfway</li><li>
Automated testing as a normal part of your work, in any mainstream framework</li><li>
Fluency with agentic coding tools (Claude Code, Codex, Cursor or comparable) &mdash; specifically, the judgement to review generated code critically rather than shipping it unread, and the honesty to say when you do not understand what it produced</li><li>
Able to read code confidently in a language you do not primarily write in</li></ul>
Nice to have
None of the following are required. Tell us if you have any of them.<ul><li>
Mantine or another component library at production scale</li><li>
TanStack Query or comparable client-state tooling</li><li>
NestJS specifically</li><li>
SSE or WebSockets, including reconnection and partial-failure handling</li><li>
Playwright or another end-to-end testing framework</li><li>
File upload handling, or image and video asset pipelines</li><li>
Any Python at all &mdash; enough to read a FastAPI service and make a small change is genuinely useful here</li><li>
Canvas, timeline or media-editor work: Pixi, Fabric, Remotion, WebGL or comparable</li><li>
Exposure to MCP, tool calling or agent-driven interfaces</li></ul>
How you will grow here
You will be the most junior engineer on a small, senior team, which is the fastest way to get better and also occasionally uncomfortable. You will get substantive code review from people with more experience than you, direct exposure to architectural decisions before they are made, and a defined path toward owning full vertical slices of the product. We will tell you plainly where you stand and what would move you to the next level. 
Benefits 
<ul><li>
Health, Dental, Vision</li><li>
401k Plan</li><li>
PTO Plan</li><li>
14 observed local holidays</li><li>
Stock options</li><li>
Amazing, pet-friendly office environment</li><li>
Equipment budget and learning allowance</li><li>
Real technical ownership within a small engineering team, and visible impact on a commercially active AI product with real users and real scale constraints</li><li>
Direct involvement in product decisions &mdash; the team is small enough that there is nowhere to hide, in both directions</li></ul></div>

Mid-Level AI Product / Creative-Tools Engineer

Search 5965+ Ai product engineer jobs near you this August. New roles added regularly across leading industries. Apply today.