software engineer

electrical engineer

mechanical engineer

project engineer

civil engineer

ai engineer

HubSpot

<div>POS-29405

We are currently hiring for two similar positions on this team: this AI Engineer role and a Senior AI Engineer role (POS-27519) which is a separate job posting. Please review the requirements for each role and submit your application for only one&mdash;the one that best matches your experience and skills. This will help us ensure a smooth and thoughtful application process for everyone. 

<ul><li>Please note: the application deadline is Monday, August 25th at 5pm ET</li></ul>

Our Mission &amp; Team

HubSpot's mission is to help millions of organizations grow better. Our AI engineering team plays a critical role in accomplishing this mission by helping attract, engage and delight our customers at every step of their journey.

We believe that AI will play a critical role in helping us accomplish our mission. In particular, we believe:
<ul>
<li>AI benefits SMBs more than Enterprises</li>
<li>AI drives effectiveness more than efficiency</li>
<li>AI helps buyers more than sellers</li>
</ul>
About AIMS Martek

Our AIMS (AI Marketing Solutions) team within the Marketing Technology group impacts HubSpot's growth by developing cutting-edge AI solutions that drive marketing effectiveness. As a highly visible team, we develop both customer-facing and internal HubSpot solutions while working closely with partners across the marketing organization.

Engineers on this team help shape our AI strategy and showcase the potential for AI through early-stage development and iteration. This presents an excellent opportunity to take advantage of emerging trends and technologies while having a tangible impact with a great organization.

About the Role

As an AI Engineer on the AIMS (AI in Marketing Solutions) team, you'll be at the forefront of applying artificial intelligence to solve real marketing challenges at HubSpot. This role combines hands-on software engineering with practical AI implementation to create tools and systems that enhance our marketing capabilities.

You'll develop and implement AI-powered solutions that help our marketing teams work more effectively, from automating repetitive tasks to generating insights from marketing data. Working collaboratively with the broader AIMS team, you'll build applications that leverage modern AI technologies like large language models, vector databases, and machine learning.

The ideal candidate has strong software engineering skills, an interest in AI/ML technologies, and the ability to communicate technical concepts clearly to non-technical teammates. You'll collaborate with marketing stakeholders, product teams, and other engineering groups to understand requirements and deliver solutions that address business needs.

This role offers significant growth opportunities as you develop expertise in both AI technologies and marketing applications. You'll have the chance to contribute to HubSpot's evolving AI strategy while gaining practical experience building systems that impact our business. Your work will directly support HubSpot's mission to help millions of organizations grow better through the innovative application of AI in marketing.

Key Responsibilities:
<ul>
<li>Develop high-quality software solutions and implement cloud-based infrastructure for AI applications</li>
<li>Contribute to R&amp;D efforts by researching and testing new AI technologies and approaches</li>
<li>Assist with functional design, prototyping, testing, and documentation of AI solutions</li>
<li>Help evaluate and prioritize AI project ideas based on technical feasibility and potential impact</li>
<li>Collaborate with stakeholders to gather requirements and translate them into technical specifications</li>
<li>Work effectively with cross-functional teams to implement AI solutions that meet business needs</li>
<li>Communicate progress updates and technical concepts to both technical and non-technical audiences</li>
<li>Create clear documentation for AI systems and processes to ensure maintainability</li>
<li>Share knowledge and best practices with team members around AI technologies and implementation</li>
<li>Stay current with emerging AI technologies and contribute ideas for potential applications in marketing</li>
</ul>
Skills and Requirements:
<ul>
<li>[REQUIRED] 2+ years of software development or equivalent technical experience</li>
<li>[REQUIRED] Experience with or strong interest in applying Generative AI to marketing technology solutions</li>
<li>[REQUIRED] Familiarity with marketing technology tools (e.g., workflow automation tools, CDPs, CRMs, Data Warehouses)</li>
<li>[REQUIRED] Working knowledge of web services APIs and cloud services (AWS, GCP or Azure)</li>
<li>[REQUIRED] Experience developing REST APIs and working with databases</li>
<li>[REQUIRED] Proficiency with version control systems (GIT)</li>
<li>Understanding of software testing principles and practices</li>
<li>Familiarity with AI technologies such as LLMs, Python, NLP, and OpenAI's tools</li>
<li>Familiarity with vector databases, transformers, and AI data models</li>
<li>[REQUIRED] Excellent communication skills with ability to explain technical concepts to non-technical audiences</li>
<li>Enthusiasm for learning new technologies and staying current with AI developments</li>
<li>Problem-solving mindset with attention to detail</li>
<li>Ability to work collaboratively with stakeholders across different departments</li>
</ul>
Nice to Haves:
<ul>
<li>Experience working in or supporting a marketing function</li>
<li>Experience working with the HubSpot platform</li></ul><div> 

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply &mdash; we'd love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At HubSpot, we value both flexibility and connection. Whether you're a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events such as your Product Group Summit and other gatherings to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.

India Applicants: link to HubSpot India's equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt &amp; Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We're building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:
<ul>
<li>HubSpot Careers</li>
<li>Life at HubSpot on Instagram</li>
</ul>
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.</div></div> <div id='job-id'>Job Id: O8v+kXUYC5xBfX3d5IRpVgFV5VTin0y06L6hZ7qC+ltbQYt+ddZFGlBPYhlw9xFdhWHUW6gx3w==</div>

AI Engineer

Vagaro

<div>Why Vagaro? At Vagaro, we believe in fostering a collaborative and inclusive work environment where every team member can thrive. Our culture is built on innovation, continuous learning, and a passion for making a positive impact. We support our employees' growth and vision for themselves, offering opportunities for professional development and career advancement. Join us and be part of a team that values creativity, teamwork, and a commitment to excellence. Plus, we know how to have fun while getting the job done!
About the Role: Vagaro is seeking an experienced and innovative AI Engineer to join our dynamic team. The ideal candidate will have a strong background in generative AI, machine learning, data science, and software engineering. You will be responsible for designing, developing, and deploying AI models and systems that will drive our business solutions tailored to meet the evolving needs of the health, beauty, and wellness industry.
*This position is onsite in Pleasanton, CA.* 
How you will contribute:
<ul><li>Conduct research, design, and develop generative AI-driven features and experiences customized to the unique preferences and behaviors of our users.</li><li>
Utilize cutting-edge technologies such as machine learning, natural language processing (NLP), computer vision, and other AI methodologies to improve product functionality</li><li>
Collaborate effectively with cross-functional teams to seamlessly integrate AI capabilities into existing products and pioneer the development of new AI-powered solutions.</li><li>
Work closely with product designers to define requirements, prioritize features, and craft intuitive user interfaces for AI-powered features.</li><li>
Implement, test, and deploy scalable machine learning solutions in production.</li><li>
Stay current with the latest advancements in machine learning and artificial intelligence.</li></ul>
*We will consider candidates who graduated in 2022 or earlier and have 2 to 4+ years of professional experience, and we will not consider 2023 or later graduates or applicants who do not meet these criteria.*
Who we are looking for:
<ul><li>4+ years experience in Machine Learning</li><li>
Minimum of 2 years of hands-on experience in developing Agentic, LLM and NLP based applications</li><li>
Proficient in machine learning, deep learning, and generative AI techniques</li><li>
Experience with data preprocessing, feature engineering, and model evaluation techniques.</li><li>
Proficiency in Python and SQL</li><li>
Strong understanding of software development methodologies, including agile development practices, version control systems, and CI/CD pipelines for ML</li><li>
Experience in applying supervised, unsupervised or reinforcement learning paradigms to business problems</li><li>
Proven track record of deploying AI models in production.</li><li>
Experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies (Docker, Kubernetes).</li><li>
Strong problem-solving skills to devise innovative and creative AI solutions.</li><li>
Excellent communication and collaboration skills in a fast-paced environment.</li></ul>
Why You'll Love Working Here:
<ul><li>Attractive Compensation &amp; Performance Bonuses: Enjoy a competitive salary paired with performance-based bonuses</li><li>
Generous PTO: 15 accrued days, plus 10 company holidays annually.</li><li>
Health &amp; Wellness: Comprehensive healthcare, dental, and vision plans for you and your family.
</li><li>Exclusive Perks: Discounts on attractions, theme parks, shows, sports events, movies, hotels, and more through TicketsAtWork.
</li><li>Beauty Perks: $30/month reimbursement for any Vagaro service, including health, beauty, or wellness treatments.
</li><li>Food Perks: $50 monthly stipend for our onsite microkitchen and a complimentary DoorDash DashPass subscription.
</li><li>Growth Opportunities: College Assistance Reimbursement, access to EAP &amp; Work/Life Programs, and a LinkedIn Learning account.
</li><li>Financial Security: 401k program with 4% matching and optional life/supplemental insurance.
</li><li>Stay Active: Access to our on-site gym, flavored water dispenser, and basketball court to keep you fit and energized!
</li></ul>Compensation:
Base Salary Range DOE: $180,000 - $200,000 
Equal Opportunity Employer: 
Vagaro is proud to be an Equal Employment Opportunity and affirmative action employer. We foster an inclusive environment where individuals are evaluated without discrimination based on gender, race, ethnicity, age, disability, religion, sexual orientation, gender identity, veteran status, or any other characteristics protected by law.
Privacy Policy: 
Your privacy matters! At Vagaro, we are committed to protecting your personal information. Before proceeding with your application, please review our Employee and Applicant Privacy Notice here (https://www.vagaro.com/pro/vagaro-employee-and-applicant-privacy-notice). By submitting your application, you acknowledge that you have read and understood our Privacy Notice, which outlines how we collect, use, disclose, and protect your information during the recruitment and employment process.
Vagaro is an E-Verify employer. Learn more at www.e-verify.gov (https://www.e-verify.gov/)
Learn More About Vagaro: 
Visit us at vagaro.com/pro (https://www.vagaro.com/pro) and vagaro.com (https://www.vagaro.com/) to learn more.</div> <div id='job-id'>Job Id: 3PIo8hmXuwC0JUMXqdAZxcHeYg49mQ5WX0pnzv4HM8dKcW6VXsA0r474jabn+yYyEFleBBH7pwJbRCZxkljPfsPodRZpfx0xlQBMcQVnLoya7YGzWVrj9hyInlzx</div>

<div>Marketing
Cambridge, MA, USA<div>
 POS-29405

We are currently hiring for two similar positions on this team: this AI Engineer role and a Senior AI Engineer role (POS-27519) which is a separate job posting. Please review the requirements for each role and submit your application for only one&mdash;the one that best matches your experience and skills. This will help us ensure a smooth and thoughtful application process for everyone. 

<ul><li>Please note: the application deadline is Monday, August 25th at 5pm ET</li></ul>

Our Mission &amp; Team

HubSpot's mission is to help millions of organizations grow better. Our AI engineering team plays a critical role in accomplishing this mission by helping attract, engage and delight our customers at every step of their journey.

We believe that AI will play a critical role in helping us accomplish our mission. In particular, we believe:
<ul>
<li>AI benefits SMBs more than Enterprises</li>
<li>AI drives effectiveness more than efficiency</li>
<li>AI helps buyers more than sellers</li>
</ul>
About AIMS Martek

Our AIMS (AI Marketing Solutions) team within the Marketing Technology group impacts HubSpot's growth by developing cutting-edge AI solutions that drive marketing effectiveness. As a highly visible team, we develop both customer-facing and internal HubSpot solutions while working closely with partners across the marketing organization.

Engineers on this team help shape our AI strategy and showcase the potential for AI through early-stage development and iteration. This presents an excellent opportunity to take advantage of emerging trends and technologies while having a tangible impact with a great organization.

About the Role

As an AI Engineer on the AIMS (AI in Marketing Solutions) team, you'll be at the forefront of applying artificial intelligence to solve real marketing challenges at HubSpot. This role combines hands-on software engineering with practical AI implementation to create tools and systems that enhance our marketing capabilities.

You'll develop and implement AI-powered solutions that help our marketing teams work more effectively, from automating repetitive tasks to generating insights from marketing data. Working collaboratively with the broader AIMS team, you'll build applications that leverage modern AI technologies like large language models, vector databases, and machine learning.

The ideal candidate has strong software engineering skills, an interest in AI/ML technologies, and the ability to communicate technical concepts clearly to non-technical teammates. You'll collaborate with marketing stakeholders, product teams, and other engineering groups to understand requirements and deliver solutions that address business needs.

This role offers significant growth opportunities as you develop expertise in both AI technologies and marketing applications. You'll have the chance to contribute to HubSpot's evolving AI strategy while gaining practical experience building systems that impact our business. Your work will directly support HubSpot's mission to help millions of organizations grow better through the innovative application of AI in marketing.

Key Responsibilities:
<ul>
<li>Develop high-quality software solutions and implement cloud-based infrastructure for AI applications</li>
<li>Contribute to R&amp;D efforts by researching and testing new AI technologies and approaches</li>
<li>Assist with functional design, prototyping, testing, and documentation of AI solutions</li>
<li>Help evaluate and prioritize AI project ideas based on technical feasibility and potential impact</li>
<li>Collaborate with stakeholders to gather requirements and translate them into technical specifications</li>
<li>Work effectively with cross-functional teams to implement AI solutions that meet business needs</li>
<li>Communicate progress updates and technical concepts to both technical and non-technical audiences</li>
<li>Create clear documentation for AI systems and processes to ensure maintainability</li>
<li>Share knowledge and best practices with team members around AI technologies and implementation</li>
<li>Stay current with emerging AI technologies and contribute ideas for potential applications in marketing</li>
</ul>
Skills and Requirements:
<ul>
<li>[REQUIRED] 2+ years of software development or equivalent technical experience</li>
<li>[REQUIRED] Experience with or strong interest in applying Generative AI to marketing technology solutions</li>
<li>[REQUIRED] Familiarity with marketing technology tools (e.g., workflow automation tools, CDPs, CRMs, Data Warehouses)</li>
<li>[REQUIRED] Working knowledge of web services APIs and cloud services (AWS, GCP or Azure)</li>
<li>[REQUIRED] Experience developing REST APIs and working with databases</li>
<li>[REQUIRED] Proficiency with version control systems (GIT)</li>
<li>Understanding of software testing principles and practices</li>
<li>Familiarity with AI technologies such as LLMs, Python, NLP, and OpenAI's tools</li>
<li>Familiarity with vector databases, transformers, and AI data models</li>
<li>[REQUIRED] Excellent communication skills with ability to explain technical concepts to non-technical audiences</li>
<li>Enthusiasm for learning new technologies and staying current with AI developments</li>
<li>Problem-solving mindset with attention to detail</li>
<li>Ability to work collaboratively with stakeholders across different departments</li>
</ul>
Nice to Haves:
<ul>
<li>Experience working in or supporting a marketing function</li>
<li>Experience working with the HubSpot platform</li></ul><div><div><div> 

Pay &amp; Benefits

The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot&rsquo;s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot&rsquo;s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. 


Benefits are also an important piece of your total compensation package.

At HubSpot, fair compensation practices aren&rsquo;t just about checking off the box for legal compliance. It&rsquo;s about living out our value of transparency with our employees, candidates, and community.</div><div>
Annual Cash Compensation Range:</div><div>
$124,200&mdash;$186,300 USD</div></div></div><div>

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don&rsquo;t hesitate to apply &mdash; we&rsquo;d love to hear from you.

.

At HubSpot, we value both flexibility and connection. Whether you&rsquo;re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you&rsquo;ll also attend other in-person events such as your Product Group Summit and other gatherings to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 


About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt &amp; Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We&rsquo;re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:
<ul>
<li>HubSpot Careers</li>
<li>Life at HubSpot on Instagram</li>
</ul>
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.</div></div><div></div><div><div><div><div><div>
Create a Job Alert</div><div>
Get the latest open positions at HubSpot sent right to your inbox.</div>
Create alert</div></div></div></div></div> <div id='job-id'>Job Id: JU4Qsb2Ppe/9Lptfl3tnFDpOWaeMVUI0/sENaOgBRAGAc2iKGc2roIgPBbjZB+ep9DkdX993fD/ycUoBQTojz3tiWLhw3OnFIqlKSSMgjuI5HBy/n2YfjPObAH3gmtmDRUb9WTfe</div>

Apollo.io

<div><div>Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.</div><h2 class="jobSectionHeader">
About Apollo.io</h2>

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Our platform helps sales and marketing teams prospect smarter, automate workflows, and close more deals, all within a unified, AI-native platform.

Backed by world-class investors including Sequoia and Bain Capital, and recently valued at $1.6B following our Series D, Apollo is one of the fastest-growing SaaS companies in the world.

<h2 class="jobSectionHeader">Why This Role Matters</h2>

We are entering a new phase of AI-native growth and are looking for a Principal AI Engineer to lead the design and deployment of cutting-edge agentic systems, AI assistants, and LLM-powered features. This role is pivotal to Apollo's AI roadmap, owning the architecture and productionization of intelligent systems that power the workflows of thousands of GTM teams globally.

You'll be a technical thought leader on the AI Engineering team and work alongside product, backend, and platform leaders to drive forward Apollo's competitive edge in applied AI.

<h2 class="jobSectionHeader">What You'll Own &amp; Deliver</h2>
<h3 class="jobSectionHeader">End-to-End Agentic Systems</h3>
<ul><li>Autonomous AI Agents: Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration.</li>
<li>Workflow Automation: Build reusable agentic components that integrate deeply into sales and marketing processes.</li>
<li>LLM Platformization: Own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments.</li>
</ul><h3 class="jobSectionHeader">AI Assistants and Search</h3>
<ul><li>Conversational AI &amp; UI: Lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG).</li>
<li>Semantic &amp; Personalized Search: Build embedding-based, intent-aware search and personalization systems tuned to business user needs.</li>
<li>Email Intelligence: Drive innovation in personalized outreach generation using context-aware generation pipelines.</li>
</ul><h3 class="jobSectionHeader">Production-Grade Applied AI</h3>
<ul><li>Latency &amp; Cost Optimization: Tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance.</li>
<li>Evaluation at Scale: Define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows.</li>
<li>Feedback Loops: Architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time.</li>
</ul><h2 class="jobSectionHeader">What We're Looking For</h2>
<h3 class="jobSectionHeader">Technical &amp; Production Depth</h3>
<ul><li>10+ years of software engineering experience, with at least 3 years in applied LLM or agentic AI systems (2023&ndash;present).</li>
<li>Proven success in deploying LLM-powered products used by real users at scale, not just prototypes or internal tools.</li>
<li>Deep backend &amp; systems engineering expertise with Python, distributed systems, and scalable APIs.</li>
<li>Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.</li>
<li>Experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning.</li>
<li>Experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.).</li>
</ul><h3 class="jobSectionHeader">Agentic Systems &amp; Prompt Engineering</h3>
<ul><li>Demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state.</li>
<li>Comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups.</li>
</ul><h3 class="jobSectionHeader">Evaluation, Monitoring &amp; CI for AI</h3>
<ul><li>Strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines.</li>
<li>Experience designing safety-aware, reliable LLM systems in production environments.</li>
<li>Experience owning logging, monitoring, and observability for live AI systems.</li>
</ul><h2 class="jobSectionHeader">Leadership &amp; Strategic Impact</h2>
<ul><li>Principal-Level Ownership: You thrive in an ambiguous environment, define company wide roadmaps, drive the most important Engineering decisions, and mentor others. You lead from the front.</li>
<li>AI-Native Mentality: You leverage AI to ship faster and smarter, and champion automation across engineering workflows.</li>
<li>Applied Focus: You prioritize impact over novelty. You're deeply pragmatic in your application of AI research to product features.</li>
</ul><h2 class="jobSectionHeader">What Makes This Role Different</h2>
<h3 class="jobSectionHeader">A Role with Real Autonomy</h3>

You'll own complex systems end-to-end, from LLM prompt design and API orchestration to production deployment and A/B testing at scale. You're not building demos, you're shipping critical infrastructure that millions rely on.
<h3 class="jobSectionHeader">
A Product-First AI Culture</h3>

We believe in AI that moves the needle, and your work will directly impact Apollo's AI Assistants, scoring models, research agents, and automation flows, products that define our differentiation in the market.<div><h3 class="jobSectionHeader"> 
We are AI Native</h3>

Apollo.io is an AI-native company built on a culture of continuous improvement. We're on the front lines of driving productivity for our customers&mdash;and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
<h3 class="jobSectionHeader">
Why You'll Love Working at Apollo</h3>

At Apollo, we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core&mdash;we're all for one, meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you're looking for a place where your work matters, where you can push boundaries, and where your career can thrive&mdash;Apollo is the place for you.

Learn more here!</div></div> <div id='job-id'>Job Id: hCEEI4g/MMhVcjJt79o9qSN9/YQwM735HPjWqJ6284eIG/kKcj7GTMuZFMZpmk88pCX538q1dg==</div>

Principal AI Engineer

Booz Allen Hamilton

<div>Corporate AI Engineer<div>
Key Role:
Apply a strong foundation in machine learning (ML), natural language processing (NLP), and data science, and develop expertise with Generative AI. Balance broad AI and ML expertise with hands-on GenAI experimentation and solution-building, helping accelerate AI adoption across the enterprise. Lead and contribute to AI and ML projects by prototyping and deploying AI and ML models. Identify and deliver Generative AI use cases, including LLM-based solutions, prompt engineering, and workflow integration. Mentor junior team members on emerging GenAI practices. Support the team&rsquo;s efforts in adoption of AI through custom development, customer engagement, and partnership building. Due to the nature of work performed within this facility, U.S. citizenship is required.
Basic Qualifications:<ul><li>
7+ years of experience in AI, ML, data science, or data analytics</li><li>
5+ years of experience developing ML models for business applications</li><li>
5+ years of experience with programming languages, including Python and SQL</li><li>
5+ years of experience with NLP</li><li>
2+ years of experience with Generative AI tools and techniques, including LLMs, embeddings, RAG, and prompt engineering</li><li>
2+ years of experience contributing to or collaborating on analytics products using version control systems, including GitHub</li><li>
Experience with cloud platforms such as AWS, Azure, or GCP</li><li>
Experience with data visualization or dashboarding tools, including Tableau or Power BI</li><li>
Experience with client management and stakeholder engagement</li><li>
Bachelor's degree</li></ul>
Additional Qualifications:<ul><li>
Experience with distributed data and computing tools, including Databricks using Spark</li><li>
Experience building or supporting AI agents</li><li>
Experience in AI ethics, governance, bias mitigation, and responsible AI principles</li><li>
Experience with technical writing, including presentations</li><li>
Bachelor's degree in Data Science, Mathematics, CS, Physics, Statistics, or Quantitative Social Sciences</li></ul></div>
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model 
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div> <div id='job-id'>Job Id: TmO6dZVP++KoE5AYTU+mNMl4rH+PM62Ha2Zh9scpDyOwyxI2yFK4PFyMVO3tDoNPPAmJl6elRxBn2Utq9YzmamDKI54Ta/eVfZPrCjj4Xtfv/bpUcgp9Eg==</div>

Corporate AI Engineer

Ringside Talent

<div>
 
 We are looking for an
 
 AI Engineer
 
 to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-driven solutions using Python and TypeScript
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI models into scalable applications hosted on AWS
 </li>
 <li>
 Work with platforms like Palantir to support data-driven decision-making and operational intelligence
 </li>
 <li>
 Optimize machine learning workflows and ensure model performance and reliability
 </li>
 <li>
 Contribute to the development of APIs and services that support AI functionality across enterprise systems
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Strong programming skills in Python and TypeScript
 </li>
 <li>
 Experience building and deploying AI/ML models in AWS environments
 </li>
 <li>
 Familiarity with Palantir Foundry or similar data integration platforms
 </li>
 <li>
 Solid understanding of machine learning concepts, data structures, and software engineering best practices
 </li>
 <li>
 Ability to work collaboratively in agile development environments
 </li>
 </ul>
 
 
</div>

<div><div>Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.</div><div><h2 class="jobSectionHeader">
About Apollo.io</h2>

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Our platform helps sales and marketing teams prospect smarter, automate workflows, and close more deals, all within a unified, AI-native platform.

Backed by world-class investors including Sequoia and Bain Capital, and recently valued at $1.6B following our Series D, Apollo is one of the fastest-growing SaaS companies in the world.

<h2 class="jobSectionHeader">Why This Role Matters</h2>

We are entering a new phase of AI-native growth and are looking for a Principal AI Engineer to lead the design and deployment of cutting-edge agentic systems, AI assistants, and LLM-powered features. This role is pivotal to Apollo&rsquo;s AI roadmap, owning the architecture and productionization of intelligent systems that power the workflows of thousands of GTM teams globally.

You&rsquo;ll be a technical thought leader on the AI Engineering team and work alongside product, backend, and platform leaders to drive forward Apollo&rsquo;s competitive edge in applied AI.

<h2 class="jobSectionHeader">What You'll Own &amp; Deliver</h2>
<h3 class="jobSectionHeader">End-to-End Agentic Systems</h3>
<ul><li>Autonomous AI Agents: Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration.</li>
<li>Workflow Automation: Build reusable agentic components that integrate deeply into sales and marketing processes.</li>
<li>LLM Platformization: Own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments.</li>
</ul><h3 class="jobSectionHeader">AI Assistants and Search</h3>
<ul><li>Conversational AI &amp; UI: Lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG).</li>
<li>Semantic &amp; Personalized Search: Build embedding-based, intent-aware search and personalization systems tuned to business user needs.</li>
<li>Email Intelligence: Drive innovation in personalized outreach generation using context-aware generation pipelines.</li>
</ul><h3 class="jobSectionHeader">Production-Grade Applied AI</h3>
<ul><li>Latency &amp; Cost Optimization: Tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance.</li>
<li>Evaluation at Scale: Define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows.</li>
<li>Feedback Loops: Architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time.</li>
</ul><h2 class="jobSectionHeader">What We&rsquo;re Looking For</h2>
<h3 class="jobSectionHeader">Technical &amp; Production Depth</h3>
<ul><li>10+ years of software engineering experience, with at least 3 years in applied LLM or agentic AI systems (2023&ndash;present).</li>
<li>Proven success in deploying LLM-powered products used by real users at scale, not just prototypes or internal tools.</li>
<li>Deep backend &amp; systems engineering expertise with Python, distributed systems, and scalable APIs.</li>
<li>Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.</li>
<li>Experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning.</li>
<li>Experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.).</li>
</ul><h3 class="jobSectionHeader">Agentic Systems &amp; Prompt Engineering</h3>
<ul><li>Demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state.</li>
<li>Comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups.</li>
</ul><h3 class="jobSectionHeader">Evaluation, Monitoring &amp; CI for AI</h3>
<ul><li>Strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines.</li>
<li>Experience designing safety-aware, reliable LLM systems in production environments.</li>
<li>Experience owning logging, monitoring, and observability for live AI systems.</li>
</ul><h2 class="jobSectionHeader">Leadership &amp; Strategic Impact</h2>
<ul><li>Principal-Level Ownership: You thrive in an ambiguous environment, define company wide roadmaps, drive the most important Engineering decisions, and mentor others. You lead from the front.</li>
<li>AI-Native Mentality: You leverage AI to ship faster and smarter, and champion automation across engineering workflows.</li>
<li>Applied Focus: You prioritize impact over novelty. You&rsquo;re deeply pragmatic in your application of AI research to product features.</li>
</ul><h2 class="jobSectionHeader">What Makes This Role Different</h2>
<h3 class="jobSectionHeader">A Role with Real Autonomy</h3>

You&rsquo;ll own complex systems end-to-end, from LLM prompt design and API orchestration to production deployment and A/B testing at scale. You&rsquo;re not building demos, you&rsquo;re shipping critical infrastructure that millions rely on.
<h3 class="jobSectionHeader">
A Product-First AI Culture</h3>

We believe in AI that moves the needle, and your work will directly impact Apollo&rsquo;s AI Assistants, scoring models, research agents, and automation flows, products that define our differentiation in the market.</div><div><h3 class="jobSectionHeader"> 
We are AI Native</h3>

Apollo.io is an AI-native company built on a culture of continuous improvement. We&rsquo;re on the front lines of driving productivity for our customers&mdash;and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
<h3 class="jobSectionHeader">
Why You&rsquo;ll Love Working at Apollo</h3>

At Apollo, we&rsquo;re driven by a shared mission: to help our customers unlock their full revenue potential. That&rsquo;s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core&mdash;we&rsquo;re all for one, meaning you&rsquo;ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you&rsquo;re looking for a place where your work matters, where you can push boundaries, and where your career can thrive&mdash;Apollo is the place for you.

Learn more here!</div></div> <div id='job-id'>Job Id: rPi3jYVHuwM76KVdHfGSnM3qZiaeQTRg8O5rsajKFi10SKT7vMHMmgjSOz0Z/m+ZeEWXJTD5KLlXr4N6BReN0gZXUZh/TOrjBtdvNtYH/doObgw8Ng==</div>

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