ai systems engineer

Didero

<div>
 At Didero, we&rsquo;re building the autonomous supply chain, starting with agentic supplier management.
 
 
 Global trade has never been more complex or more critical. Teams are underwater, reacting to a flood of challenges &mdash; from geopolitical risk to tariffs. Didero helps by automating time-intensive workflows with AI agents, deploying cutting-edge technology into one of the world&rsquo;s most vital domains.
 
 
 We&rsquo;re backed by some of the world&rsquo;s best venture funds and leading figures across AI, supply chain, and enterprise software.
 
 
 
 About The Role
 
 
 
 We're hiring an AI Applied Engineer to sit at the intersection of machine learning, agentic systems, and production software. You'll own the design and development of AI-powered workflows that automate high-stakes supply chain operations &mdash; building systems that actually think, act, and learn
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Design and ship production AI agents that automate supplier management workflows
 </li>
 <li>
 Own the full AI stack: model selection, prompt engineering, tool use, RAG pipelines, evals, and reliability.
 </li>
 <li>
 Architect agentic systems that integrate with communication platforms, ERPs, and third-party APIs.
 </li>
 <li>
 Drive quality through rapid iteration, build fast without shipping fragile systems.
 </li>
 <li>
 Collaborate with product and domain experts to translate messy real-world workflows into clean, scalable AI solutions.
 </li>
 <li>
 Shape how we approach applied AI at the company level, your opinions on architecture and methodology will matter.
 
 
 </li>
 </ul>
 
 
 You&rsquo;ll be successful in this role if you&hellip;
 
 
 
 
 <ul>
 <li>
 Have hands-on experience building and deploying LLM-based applications or AI agents in production.
 </li>
 <li>
 Think in systems; you understand how prompts, retrieval, memory, and tool calls interact at scale.
 </li>
 <li>
 Care about outcomes, not just outputs, you build evals and measure what matters.
 </li>
 <li>
 Are comfortable in ambiguous, fast-moving environments with short feedback loops.
 </li>
 <li>
 Write clean, maintainable code across the backend and can collaborate on frontend integrations.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 8+ years as an autonomous, resourceful engineer building and scaling real-world applications.
 </li>
 <li>
 Proven experience with LLMs, agentic frameworks (Pydantic, LangChain, LlamaIndex, custom), and AI workflow tooling.
 </li>
 <li>
 Strong Python (Django or FastAPI) and familiarity with TypeScript / React for integration work.
 </li>
 <li>
 Deep understanding of modern AI primitives: function calling, RAG, embeddings, structured outputs, evals.
 </li>
 <li>
 Strong communication skills, able to bridge technical and non-technical stakeholders effectively.
 
 
 </li>
 </ul>
 
 Bonus Points For:
 
 
 
 <ul>
 <li>
 Startup experience; founding engineer or early team member at a high-growth company.
 </li>
 <li>
 Experience with B2B SaaS workflow automation and complex enterprise integrations.
 </li>
 <li>
 Background in supply chain, procurement, or logistics tech.
 </li>
 <li>
 Designing highly scalable and distributed AI systems.
 </li>
 <li>
 Experience with a strongly typed language like C++, Java, Rust, Go
 </li>
 <li>
 Has a strong understanding of system design, object oriented programming and good programming fundamentals.
 
 
 </li>
 </ul>
 
 
 Tech Stack
 
 
 
 
 Django
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 React
 </li>
 <li>
 TypeScript
 
 
 </li>
 </ul>
 
 
 What We Value
 
 
 
 
 <ul>
 <li>
 We make the world feel smaller - We support each other and break down boundaries, both internally and for our customers
 </li>
 <li>
 We build supply chain magic - We push the boundaries of what technology can do and go above and beyond for our users
 </li>
 <li>
 We are lifelong learners - We move fast, embrace failure, and give feedback generously
 </li>
 <li>
 We show up - We&rsquo;re scrappy entrepreneurs, no job is beneath us
 </li>
 <li>
 We BELIEVE! - We&rsquo;re building a great, enduring company and we have fun doing it.
 
 
 </li>
 </ul>
 
 
 What we offer:
 
 
 
 
 <ul>
 <li>
 Competitive compensation and equity
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 Unlimited PTO &mdash; we trust you to take the time you need
 </li>
 <li>
 Monthly wellness stipend via ClassPass
 </li>
 <li>
 Tech equipment for your setup
 </li>
 <li>
 Catered lunches (for those in the office)
 
 
 </li>
 </ul>
 Compensation Range: $200K - $300K
 
 
</div>

Applied AI Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Advertising sits at the intersection of e-commerce and advertising, helping brands reach customers across owned surfaces, the open web, and streaming media. We build with the advertiser as the starting point and work backwards from what they need to run effective, measurable campaigns at scale. 
 
We're looking for a Sr. Software Development Engineer to join the Personalization &amp; Guidance team &mdash; a high-growth team building AI-native systems that make advertising more intelligent, transparent, and effective for the advertisers who rely on them every day. 
 
Advertising personalization is a well-studied domain. What makes this team's work different is the explainability constraint &mdash; we're building systems where the why behind a recommendation is a first-class product concern, not an afterthought. That drives real architectural decisions: how you store and version the inputs to a decision, how you surface confidence, how you maintain auditability across distributed agent systems, and how you enforce content quality standards at render time rather than at authoring time. 
 
Key job responsibilities 
You'll work on systems that sit at the core of how advertisers understand and act on their advertising performance. The problems are technically hard: 
<ul><li>Personalization at scale &mdash; building and maintaining structured models of advertiser behavior, goals, and preferences that update continuously across millions of accounts and inform real-time decisions</li><li>Real-time ML inference &mdash; systems that evaluate and rank recommendations, guidance, and actions at high volume with tight latency constraints across distributed infrastructure</li><li>Explainable AI systems &mdash; infrastructure that makes automated decisions auditable and legible to end users, not just to engineers. This includes stable data models for tracking decision inputs, surfacing confidence signals, and rendering explanations that advertisers can inspect and act on</li><li>Multi-agent coordination &mdash; APIs and contracts that allow multiple specialized AI agents to contribute outputs into a unified experience, with quality enforcement at the delivery layer</li><li>Event-driven data pipelines &mdash; high-volume ingestion, processing, and serving of advertising signals that feed both the ML models and the real-time recommendation systems</li></ul> 
A day in the life 
You'll work in a space where ML infrastructure, distributed systems, and product-quality UX concerns intersect daily. 
 
Technology You'll Work With: 
<ul><li>Large-scale distributed systems built on cloud infrastructure (microservices, event streaming, real-time serving)</li><li>Machine learning infrastructure &mdash; model serving, feature stores, A/B testing frameworks, online evaluation</li><li>Large language models and agentic AI systems &mdash; integrating LLM-powered agents into production advertising workflows, with the reliability and observability requirements that entails</li><li>High-volume data pipelines processing advertising signals across formats and surfaces</li><li>API design for multi-team and multi-agent consumption patterns</li></ul> 
About the team 
What We're Looking For: 
<ul><li>Strong distributed systems fundamentals &mdash; you've built services that have to be both fast and correct under real traffic</li><li>Experience with ML infrastructure or production ML-adjacent systems; you understand what it takes to build reliable systems around probabilistic models</li><li>Product instincts &mdash; you care that the output is useful and legible to the person using it, not just that the pipeline ran successfully</li><li>Comfort with ambiguity &mdash; the team is working in a fast-moving space where some of the right architectural decisions are still being established</li><li>Strong written communication &mdash; our most consequential technical decisions live in design documents, and engineers are expected to author them</li></ul> 
If you want to work on systems that are technically sophisticated, have real daily impact on advertisers around the world, and are building into a space &mdash; AI-driven advertising &mdash; that is genuinely changing how the industry works, this team is worth a conversation.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually</div>

Sr. Software Development Engineer, Guidance & Personalization

Traversal

<div><h3 class="jobSectionHeader">About Traversal</h3>
Traversal is the AI Site Reliability Engineer (SRE) for the enterprise&mdash;already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.
Our roots remain deeply embedded in AI research, and we&rsquo;re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we&rsquo;re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.<h3 class="jobSectionHeader">
The Role</h3>
As a Product Engineer at Traversal, you&rsquo;ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you&rsquo;ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.<h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
Product Impact: Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load.</li><li>
User Experience: Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability.</li><li>
Agent Development: Build AI agents with a mind for user-experience and capabilities like long-horizon work, proactiveness, readability, and evidence citation.</li><li>
API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.</li><li>
Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.</li><li>
AI Integration: Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.</li><li>
Data Visualization: Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
4+ years of software engineering experience, with a strong focus on full-stack systems.</li><li>
Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.</li><li>
Strong experience with Python and web frameworks such as FastAPI.</li><li>
Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends.</li><li>
Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.</li><li>
Note: You don&rsquo;t need to meet every single requirement. If you have deep experience in a subset of these areas, we encourage you to apply.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Familiarity with Python-based ecosystems is a plus.</li><li>
Experience working with Agentic AI systems or in the observability domain.</li><li>
Background in large-scale, complex, data-driven applications.</li><li>
Familiarity with building AI or LLM-powered products.</li></ul><h3 class="jobSectionHeader">
Compensation</h3>
We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000&ndash;$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.<h3 class="jobSectionHeader">
Why You Should Join Us</h3>
We&rsquo;ll make sure you&rsquo;re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.
Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.
Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.</div>

Product Engineer

Tavily

<div><div>About Tavily 
 
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

Role:
</div>
We are looking for a Senior Business Systems Engineer to own our GTM Operations systems and strategy. You will have an integral role in architecting the engine that powers Tavily's growth. You will be our first hire to this team, building a seamless, scalable GTM stack and ensuring our data architecture supports world-class execution across Sales, Marketing, and Finance.
<ul>
<li>Own the end-to-end technical architecture of the GTM tech stack, ensuring seamless data flow across the entire customer lifecycle&mdash;from initial marketing lead to sales conversion and customer success renewal. We will be implementing a fresh SFDC instance which you will help create from the ground up.</li>
</ul><ul><li>Serve as the primary technical liaison for Sales, Finance, and Marketing leadership, translating complex departmental requirements into a multi-quarter technical roadmap for the Force.com platform and integrated ecosystem.</li>
</ul><ul><li>Establish and enforce rigorous engineering standards, including automated testing and security protocols to ensure the reliability and integrity of internal GTM applications.</li>
</ul>
What We're Looking For (Must Have):
<ul>
<li>6+ years of Force.com development experience with a deep understanding of Apex, LWC, and platform limits.</li>
</ul><ul><li>Proven track record of designing complex enterprise integrations and managing high-volume data pipelines.</li>
</ul><ul><li>BS/MS in Computer Science, Computer Engineering, or a related technical field.</li>
</ul><ul><li>Ability to navigate complex relational databases and leverage data for strategic decision-making.</li>
</ul><ul><li>Experience with Agile methodologies and managing a prioritized backlog in Jira or similar tools.</li>
</ul>
Nice to have:
<ul>
<li>Salesforce Certified Application or System Architect.</li>
</ul><ul><li>Deep experience with CPQ and Billing, Stripe, or Netsuite integrations.</li>
</ul><ul><li>Advanced expertise in Integration Platforms like Workato, Zapier or Mulesoft.</li></ul></div>

Senior Business Systems Engineer (Agentic Search)

Nebius

<div><div>About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&amp;D.</div><div>

About Tavily 
 
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

Role:
</div>
We are looking for a Senior Business Systems Engineer to own our GTM Operations systems and strategy. You will have an integral role in architecting the engine that powers Tavily's growth. You will be our first hire to this team, building a seamless, scalable GTM stack and ensuring our data architecture supports world-class execution across Sales, Marketing, and Finance.
<ul>
<li>Own the end-to-end technical architecture of the GTM tech stack, ensuring seamless data flow across the entire customer lifecycle&mdash;from initial marketing lead to sales conversion and customer success renewal. We will be implementing a fresh SFDC instance which you will help create from the ground up.</li>
</ul><ul><li>Serve as the primary technical liaison for Sales, Finance, and Marketing leadership, translating complex departmental requirements into a multi-quarter technical roadmap for the Force.com platform and integrated ecosystem.</li>
</ul><ul><li>Establish and enforce rigorous engineering standards, including automated testing and security protocols to ensure the reliability and integrity of internal GTM applications.</li>
</ul>
What We're Looking For (Must Have):
<ul>
<li>6+ years of Force.com development experience with a deep understanding of Apex, LWC, and platform limits.</li>
</ul><ul><li>Proven track record of designing complex enterprise integrations and managing high-volume data pipelines.</li>
</ul><ul><li>BS/MS in Computer Science, Computer Engineering, or a related technical field.</li>
</ul><ul><li>Ability to navigate complex relational databases and leverage data for strategic decision-making.</li>
</ul><ul><li>Experience with Agile methodologies and managing a prioritized backlog in Jira or similar tools.</li>
</ul>
Nice to have:
<ul>
<li>Salesforce Certified Application or System Architect.</li>
</ul><ul><li>Deep experience with CPQ and Billing, Stripe, or Netsuite integrations.</li>
</ul><ul><li>Advanced expertise in Integration Platforms like Workato, Zapier or Mulesoft.</li>
</ul><div>
Benefits &amp; Perks:
<ul>
<li>Competitive compensation</li>
<li>Career growth and learning opportunities</li>
<li>Flexibility and ownership</li>
<li>Collaborative and innovative culture</li>
<li>Opportunity to work on impactful AI projects</li>
<li>International environment and talented teams</li>
</ul>
What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.</div></div>

Senior Business Systems Engineer (Agentic Search) - Tavily

Formation Bio

<div>
 
 About Formation Bio
 
 
 
 
 
 Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.
 
 
 
 
 Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.
 
 
 
 You Can Read More At The Following Links
 
 
 
 <ul>
 <li>
 Our Vision for AI in Pharma
 </li>
 <li>
 Our Current Drug Portfolio
 </li>
 <li>
 Our Technology &amp; Platform
 
 
 </li>
 </ul>
 At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.
 
 
 
 About The Position
 
 
 
 We're hiring Software Engineers to help implement what engineering looks like at an AI-native pharma company. This is not a traditional SWE role and it's not an ML research role - it's for someone who builds production software in a world where AI has fundamentally changed what one engineer can do.
 
 
 At Formation, the lines between engineering, product management, and data science are converging. Engineers talk directly to users, PMs write code, and domain experts across the company build and deploy real tools. We need engineers who thrive in that environment: people who move fast, care about the problem they're solving (not just the code), and see AI tools as a permanent force multiplier rather than a novelty.
 
 
 You'll work across the drug development lifecycle - building systems that accelerate how we find, evaluate, develop, and deliver new medicines. You'll collaborate with clinical, regulatory, BD, and operations teams, not from behind a ticket queue, but embedded in the work. Some of what you build will be net-new products. Some will be infrastructure that enables non-engineers to build safely alongside you. All of it matters.
 
 
 If you're energized by opportunity, and motivated by the idea that your work directly helps get medicines to patients faster, this is the role.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and ship production software that accelerates drug development - from internal tools to user-facing products to platform capabilities.
 </li>
 <li>
 Use AI tools (LLMs, agentic coding systems, retrieval-augmented pipelines) as a core part of how you work, not as an experiment on the side.
 </li>
 <li>
 Get close to the business. Understand the clinical, regulatory, or operational problem you're solving well enough to make good product decisions without waiting for a spec.
 </li>
 <li>
 Build for composability. Clean APIs, structured schemas, machine-readable documentation - what you build needs to be discoverable and extensible by people and agents who aren't engineers.
 </li>
 <li>
 Review and enable contributions from non-engineers. PMs, designers, and domain experts across the company are shipping code. You help ensure quality, security, and maintainability.
 </li>
 <li>
 Build the guardrails that lift technical quality. Proactively create automated tools - security scanners, skill files for end users, agents that clean up and standardize non-engineer code - that raise the floor of quality across the entire organization without slowing anyone down.
 </li>
 <li>
 Prototype rapidly. Many ideas should be live and testable within days, not weeks. Build the tool, get feedback, iterate.
 </li>
 <li>
 Collaborate across engineering, data science, product, and domain teams - the boundaries between these functions are fluid here, and we expect you to operate across them.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 A track record of shipping production systems in ambiguous, fast-moving environments.
 </li>
 <li>
 You build with AI tools daily. Claude Code, Copilot, agentic workflows - whatever the best current tools are, you're already using them and have opinions about what works.
 </li>
 <li>
 Strong fundamentals: you write clean, maintainable code, you understand distributed systems and cloud infrastructure (AWS, GCP, or Azure), and you can debug hard problems.
 </li>
 <li>
 You're drawn to the problem space, not just the stack. You'd rather understand why a clinical operations team needs a tool than debate framework choices in isolation.
 </li>
 <li>
 Comfortable with ambiguity. You've worked in 0-to-1 settings or early-stage environments where the playbook didn't exist. That energizes you.
 </li>
 <li>
 Excellent communicator. You can explain technical trade-offs to non-technical stakeholders and align a room around a decision.
 </li>
 <li>
 Experience in pharma, biotech, or life sciences. Genuine curiosity about the domain.
 </li>
 <li>
 You want to operate at a higher tempo and a higher standard than you have before, and you want to be surrounded by people who hold themselves to the same bar.
 
 
 </li>
 </ul>
 
 Total Compensation Range:
 
 
 $204,500 - $267,000
 
 
 
 
 Compensation
 
 Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks.
 
 If the posted range doesn't match your expectations, we still encourage you to apply!
 
 
 
 
 Where We Hire
 
 Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.
 
 Please apply only if you reside in these locations or are willing to relocate
 
 
 
 .
 
 
 
 
 
 Equal Opportunity
 
 
 Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.
 
</div>

Software Engineer (Open Level)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join the team building the AI brain behind Amazon Ads &mdash; the SPB Agent platform powers agentic experiences that autonomously guide millions of advertisers, sellers, and sales teams with personalized, data-backed intelligence across the Ads Console, Seller Central, and Next Gen Selling. 
 
As an SDE on this team, you'll architect and ship generative AI systems that reason over campaign performance, make autonomous decisions on behalf of sellers, and deliver hyper-personalized advertising guidance at massive scale. This is a rare opportunity to work at the intersection of large language models, distributed systems, and advertising &mdash; shaping how businesses connect with customers through AI. 
 
Why this role: 
<ul><li>Own the platform that integrates and powers reasoning behind multiple agentic AI products</li><li>Ship to millions of merchants and brands worldwide</li><li>Collaborate with world-class AI researchers and engineers</li><li>Work at the forefront of generative AI technologies and agent-based architectures</li></ul>
Experiences powered by the SPB Agent include: 
<ul><li>AI Campaign Overview &ndash; A dynamic widget on an advertiser's Campaign Detail page that adapts its narrative in real time based on performance and campaign data</li><li>AI Companion for Selling Partners &ndash; A personalized assistant in Seller Central that provides data-backed guidance, makes autonomous decisions, and executes actions on behalf of sellers</li><li>AI for Sales Teams &ndash; An intelligent copilot grounded in each advertiser's objectives, focus areas, and guardrails captured through sales interactions</li></ul> 
Key job responsibilities 
<ul><li>Design and develop the SPB Agent platform using generative AI/ML technologies, delivering consistent, well-reasoned advertiser guidance through a secure, reusable, low-latency architecture</li><li>Optimize operational costs at scale through efficient resource utilization, token consumption management, and memory footprint reduction</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across the advertising ecosystem</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising contexts</li><li>Build scalable systems that process millions of data points to deliver hyper-personalized advertising experiences</li></ul> 
A day in the life 
As a Software Development Engineer on the SPB Agent team, you will architect and build next-generation AI features that power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. 
 
You are: 
<ul><li>Highly analytical &ndash; You solve problems with verifiable data and drive processes, tools, and methods that support rational decision-making.</li><li>Team-obsessed &ndash; You help the team achieve exceptional results, fostering a creative atmosphere where engineers innovate while remaining accountable for smart decisions and delivery.</li><li>Humbitious &ndash; You're ambitious yet humble, recognizing there's always room for improvement and using introspection and peer feedback to raise the bar.</li><li>Energized by ambiguity &ndash; You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them.</li><li>Passionate about AI &ndash; You stay current with the latest developments in AI technologies and apply those insights to real-world product challenges.</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div>

Software Development Engineer, Sponsored Products and Brands

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