python engineer

SIDRAM TECHNOLOGIES

<div>
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  Role: AI/ML Engineer - Python &amp; AWS
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  Location- Reston, VA(In Person Interview at Herndon VA )
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  Duration: Fulltime/Contract
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  Onsite: 5 Days Onsite
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  Job Description
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 <ul>
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   Core Responsibilities (AI/ML, Python, AWS, GenAI)
  </li>
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   Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
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   Build and maintain cloud native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
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   Develop high performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real time analytics.
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   Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM powered automation (chatbots, summarization, semantic search, anomaly detection).
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   Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure as code (Terraform/CloudFormation) for reliable, automated deployments.
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   Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.
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 <strong>
  Rachael
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  IT Services | Development | Staffing
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  URL: http:/www.sidramtech.com |
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  Email: rachael@sidramtech.com
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  Direct: 4705239688
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  Led by 25+ Years of Industry Experience
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AI/ML Engineer - Python &amp

Qureos

<p><strong>AI Engineer</strong><br /><br /><strong>Company:** Qureos</strong><br /><strong>Location:** Karachi, Pakistan</strong><br /><strong>Employment Type:** Full-Time</strong><br /><br /><strong>About Qureos</strong><br /><br /><strong>Qureos is a dynamic and forward-thinking organisation dedicated to shaping the future of career development. We are committed to empowering professionals by connecting them with meaningful opportunities, mentorship, and the skills needed to thrive in a competitive landscape. Our innovative platform leverages technology to bridge the gap between talent and industry, and we are now seeking a talented AI Engineer to join our pioneering team.</strong><br /><br /><strong>Job Overview</strong><br /><br /><strong>We are looking for a highly skilled and motivated AI Engineer to join our team in Karachi. The ideal candidate will be passionate about artificial intelligence and its application in solving real-world challenges. You will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models that power our platform's core features, from intelligent job matching and skill analysis to personalised career guidance. This is an exciting opportunity to make a significant impact within a growing company at the forefront of the EdTech and recruitment industries.</strong><br /><br /><strong>Responsibilities</strong><br /><br /><strong>- Design, build, and deploy robust machine learning models to enhance our platform's capabilities.</strong><br /><strong>- Develop and refine recommendation systems to accurately match candidates with relevant job opportunities, projects, and mentors.</strong><br /><strong>- Utilise Natural Language Processing (NLP) techniques to analyse and interpret data from resumes, job descriptions, and user interactions.</strong><br /><strong>- Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to integrate AI solutions into our products.</strong><br /><strong>- Manage the end-to-end lifecycle of AI models, including data collection, preprocessing, training, evaluation, and deployment.</strong><br /><strong>- Stay current with the latest advancements in AI, machine learning, and deep learning to drive continuous innovation.</strong><br /><strong>- Ensure the ethical and responsible use of AI, maintaining fairness and avoiding bias in all models.</strong><br /><strong>- Optimise AI models for performance, scalability, and efficiency.</strong><br /><br /><strong>Qualifications</strong><br /><br /><strong>- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.</strong><br /><strong>- Proven commercial experience as an AI Engineer, Machine Learning Engineer, or in a similar role.</strong><br /><strong>- Strong programming proficiency in Python and extensive experience with key AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn.</strong><br /><strong>- Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modelling.</strong><br /><strong>- Experience with data processing and analysis using tools like Pandas and NumPy.</strong><br /><strong>- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps practices is highly desirable.</strong><br /><strong>- Excellent problem-solving abilities and a creative, analytical mindset.</strong><br /><strong>- Strong communication skills and the ability to work effectively in a collaborative team environment.</strong><br /><br /><strong>Benefits</strong><br /><br /><strong>- A competitive salary and comprehensive benefits package.</strong><br /><strong>- Opportunities for professional development and continuous learning.</strong><br /><strong>- A vibrant and supportive work culture that encourages innovation and collaboration.</strong><br /><strong>- The chance to work on meaningful projects that directly impact people's careers.</strong><br /><strong>- Flexible and modern working environment.</strong></p>

AI Engineer

Arch Telecom

<div><p>We&rsquo;re a national Wireless Preferred Retailer for the #1 Mobile provider in the country, with 200+ retail stores across the U.S. Since &lsquo;93, we&rsquo;ve been providing superior service and quality wireless products featuring the latest in technology. As a recognized leader in the wireless retail industry, we consistently deliver the solutions and service our customer&rsquo;s demand!</p><p>
</p><p>We are looking for a motivated and innovative <b>AI Engineer</b> with 4 yrs of full-time experience in Machine Learning and AI Automation to join our growing team at Arch Telecom. This role is ideal for someone passionate about building intelligent systems, working with data, and applying machine learning or AI solutions to real-world business problems.</p><p><b>
Key Responsibilities</b></p><ul><li>
Develop, test, and deploy AI/ML models to support business initiatives</li><li>
Work with structured and unstructured data to build predictive and analytical solutions</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems</li><li>
Assist in designing and implementing NLP, computer vision, or automation solutions (as applicable)</li><li>
Optimize model performance and ensure scalability</li><li>
Stay up to date with emerging AI technologies and best practices</li></ul><p><b>
Required Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or related field</li><li>
4+ years of hands-on experience in AI/ML development</li><li>
Proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>
Experience with data processing tools (Pandas, NumPy, etc.)</li><li>
Basic understanding of machine learning algorithms and model evaluation techniques</li><li>
Familiarity with APIs and integrating AI models into applications</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Experience with NLP, LLMs, or generative AI tools</li><li>
Exposure to cloud platforms (AWS, Azure, or GCP)</li><li>
Knowledge of SQL and database systems</li><li>
Experience with version control (Git) and MLOps practices</li></ul><p>
</p><p><b>Apply Now: www.archtelecom.net</b></p><p><b>
Inquiries: Recruiting@archtelecom.net</b></p><p>
</p><p>IND2</p></div>

IHG Hotels & Resorts

<div><p>The <b>AI Engineer</b> will build, test, and maintain the models, agentic solutions and infrastructure that power our AI solutions.
</p><p>The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn. The <b>AI Enginee</b>r is an experienced individual contributor within a project team.
</p><p><b>Your Day to Day</b></p><ul><li>
Contribute to the development of AI/ML models and agentic applications by writing, testing, and documenting code under the guidance of senior team members.
</li><li>Assist in preparing and processing data for model training and evaluation. Help build and maintain data pipelines to support our AI services.
</li><li>Participate in the testing and validation of AI models to ensure they are accurate and performant. Assist in monitoring and maintaining deployed applications.
</li><li>Work closely with other engineers, data scientists, and product managers in an agile environment to deliver on team goals.
</li><li>Actively learn from senior members of the team, participate in code reviews, and continuously develop your skills in AI, machine learning, and software engineering.
</li><li>Uphold high standards for code quality, testing, and documentation. Champion software engineering best practices within the team. Deliver code that is secure, reliable and supportable.
</li><li>Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient. Effectively use AI code assistants to deliver code.
</li><li>Ensure application diagrams and documentation stay current and relevant.
</li><li>Adherence to agile development methodologies.</li></ul><p>
</p><p><b>What You Will Bring</b></p><ul><li><p>
Education
</p><ul><li><div>Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
</div></li></ul></li><li><p>Experience
</p><ul><li><div>Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
</div></li><li><div>Some professional or academic experience in software development, preferably using Python.
</div></li><li><div>Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
</div></li><li><div>Solid understanding of core computer science principles and software engineering fundamentals.
</div></li><li><div>A collaborative mindset and strong communication skills.
</div></li><li><div>Experience working with large datasets and complex data pipelines.
</div></li><li><div>Ability to work effectively in a collaborative, agile team environment.
</div></li><li><div>An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.</div></li></ul></li></ul><p>
</p><ul><li><p>Technical Skill &amp; Knowledge
</p></li></ul><p></p><ul><li><div>Strong programming skills in Python.
</div><ul><li><div>Foundational knowledge of machine learning concepts and algorithms. Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
</div></li><li><div>Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
</div></li><li><div>Good analytical and problem-solving skills with keen attention to detail.
</div></li><li><div>Familiarity with Git and version control workflows.
</div></li><li><div>Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
</div></li><li><div>Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
</div></li><li><div>Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
</div></li><li><div>Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).</div><div>
</div></li></ul></li></ul><div></div><p><b>Travel - 10%</b></p><p><b>
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
</b></p><p><b>The salary range for this role is $119,000 to $145,000. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees.</b><br>
<br>
#LI-ZY1
</p><p></p><div><div><div>At IHG Hotels &amp; Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You&rsquo;ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there&rsquo;s Room for You at IHG.<br>
</div><div></div><br>
<div>Over recent years, we&rsquo;ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests &amp; owners love.<br>
</div><div></div><br>
<div>We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That&rsquo;s why here at IHG, we give our colleagues flexibility and balance &ndash; working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that&rsquo;s why leaders work with teams to determine how and when they collaborate.<br>
</div><div></div><br>
<div>We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.<br>
</div><div></div><br>
<div>Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels &amp; Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.
</div>
</div></div><div></div><p>Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.</p><p></p><p><b>
Important information</b>:</p>
<ul>
<li>The salary range listed is the lowest to highest pay scale we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee&rsquo;s pay position within the pay range will be based on several factors, including relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.</li>
<li>No amount of pay is considered to be wages or compensation until it is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remain in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</li>
<li>If you require reasonable accommodation during the application process, please click here.</li>
<li>IHG does not accept applications, inquiries, or unsolicited CVs/resumes from staffing or recruiting agencies. Please click here for our agency policy.</li>
<li>If you are a resident of or applying to a job opening in the State of Washington, please click here to read about applicable benefits.</li></ul></div>

Scotiabank

<p></p><div><p>Requisition ID: 257554<br>
<br>
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.</p><p></p><div><b><br>
Purpose</b></div><br>
<div></div>
<div>
The AI Engineer is an individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role will execute AI engineering and MLOps/LLMOps, ensuring AI solutions are secure, scalable, auditable, and production ready. You will work with Senior Engineers to build and deploy production grade AI systems end to end.</div><br>
<div></div>
<div><b>
What You'll Do</b></div><br>
<div></div>
<div><b>
Production AI Engineering (Build, Deploy, Run)</b></div>
<ul>
<li>Implement production‑grade AI services and pipelines (batch and real‑time) with strong focus on reliability, performance, and operational excellence in the cloud</li>
<li>Execute, manage and support the packaging and deployment of models and solutions as scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks.</li>
<li>Own complex problem resolution across environments, including production incidents related to AI systems.</li>
</ul>
<div><b>Governance‑by‑Design (Banking &amp; Regulatory Alignment)</b></div>
<ul>
<li>Embed <b>AI governance directly into engineering workflows</b>, including:
<ul><li>Security and access controls</li>
<li>Data classification and handling</li>
<li>Model risk management requirements</li>
<li>Privacy and consent controls</li>
<li>Responsible AI principles</li>
<li>Auditability and regulatory traceability</li>
</ul></li><li>Partner closely with Risk, Compliance, Legal, and Architecture teams to ensure AI solutions meet internal and external regulatory expectations.</li>
</ul>
<div><b>Generative AI &amp; Advanced AI Capabilities</b></div>
<ul>
<li>Implementation of <b>Generative AI</b> patterns such as Retrieval‑Augmented Generation (RAG), embeddings, semantic search, and agent workflows.</li>
<li>Ensure GenAI solutions are grounded in approved data sources, governed access, logging, and retention policies.</li>
<li>Define evaluation and monitoring approaches for GenAI outputs in regulated use cases.</li>
</ul>
<div><b>Enterprise MLOps / LLMOps
</b></div><ul><li>Implement <b>automated ML/LLM delivery pipelines</b> covering training, evaluation, approval, deployment, and rollback.</li>
<li>Implement standards for model versioning, reproducibility, environment isolation, and controlled releases.</li>
<li>Reduce time‑to‑production while increasing safety, repeatability, and governance through automation.</li></ul><br>
<div></div>
<div><b>
What You'll Bring</b></div><br>
<div></div>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience.</li>
<li>3+ years of experience in cloud engineering, with 3+ years focused on AI/ML systems</li>
<li>Expert‑level proficiency in Python, SQL and cloud infrastructure</li>
<li>Hands‑on experience deploying AI solutions in cloud environments (Azure and GCP).</li>
<li>Deep understanding of production concerns: reliability, scalability, observability, cost, and security.</li>
<li>Experience delivering AI solutions in regulated industries (banking, financial services, insurance, healthcare).</li>
<li>Strong familiarity with model risk management, audit requirements, and regulatory review processes.</li>
<li>Hands‑on experience with enterprise MLOps / LLMOps tooling and platform design.</li>
<li>Experience designing platform‑level AI capabilities, not just individual models.</li></ul><br>
<div></div>
<p><b>
Interested?</b></p><br>
<p></p>
<p>
If your experience is closely related but doesn&rsquo;t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!</p>
<p>
At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That&rsquo;s why we work to grow and diversify talent and engage employees in a performance-oriented culture.</p><p><br>
<b>
What's in it for you?</b></p><br>
<p></p>
<p>
Scotiabank wants you to be able to bring your best self to work &ndash; and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.</p><br>
<p></p>
<p>
#Dallas</p><br>
<p></p>
<p>
Location(s): United States : Texas : Dallas<br>
<br>
Scotiabank is a leading bank in the Americas. Guided by our purpose: &quot;for every future&quot;, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
<br>
<br>
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.</p></div>

The Vertex Companies LLC

<div><p><b>Description</b>
</p><p></p><h2 class="jobSectionHeader"><b>Company Description</b></h2><p><br>
The Vertex Companies, LLC (VERTEX) is a global $150M professional services firm that offers integrated forensic consulting, expert witness services, construction project advisory, and compliance and regulatory consulting to a myriad of markets and industries. Our brand purpose is to better outcomes for our clients, colleagues, and communities. Join us if you are looking for a career that offers you a chance to love what you do, continuously learn, and take pride in your work.</p><p></p><h2 class="jobSectionHeader"><b><br>
Job Description</b></h2><p><br>
Vertex is looking for a hands-on AI Engineer who wants to be part of a team to design and build an enterprise-grade AI platform from scratch, integrating enterprise systems, solving real problems, and delivering measurable outcomes. You&rsquo;ll work directly with the CTO to define, architect, and deploy AI solutions that transform how the business operates, from intelligent automation to agentic workflows. This is not a maintenance role, it is a ground-up build opportunity. If you&rsquo;re excited about real-world AI use cases (not just experiments), this is your opportunity.</p><br>
<h2 class="jobSectionHeader"><b>
Core Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
Work Product Creation, Project Management, Coordination with Team Members</b></h3><ul><li>
Design and implement scalable AI solutions tailored to real business problems, not prototypes that sit on the shelf.</li><li>
Evaluate and architect build vs. buy vs. hybrid AI strategies across platforms like OpenAI, Azure OpenAI, Claude, Glean, Microsoft Copilot, Box AI, Google Vertex AI, AWS Bedrock, Databricks, Hugging Face, and more.</li><li>
Build the enterprise AI architecture, including data pipelines, orchestration layers, and model integration.</li><li>
Build RAG-based systems, intelligent agents, automation and multi-step AI workflows.</li><li>
Design and implement MCP server integrations to unify enterprise data sources.</li><li>
Develop orchestration layers to coordinate LLMs, APIs, tools, and workflows.</li><li>
Implement semantic search, vector indexing, and knowledge retrieval systems.</li><li>
Automate business processes using AI-driven decisioning and workflows.</li><li>
Connect AI systems with platforms like Salesforce, Workday, ERP systems, Egnyte, Box, and other enterprise systems.</li><li>
Build robust API integrations and data pipelines to enable real-time AI use cases.</li><li>
Ensure seamless data accessibility across structured and unstructured sources.</li><li>
Integrate enterprise systems via API and MCP to unify data sets for AI applications, ensuring seamless connectivity and data accessibility across platforms.</li><li>
Evaluate model performance, accuracy, and hallucination risks.</li><li>
Build testing frameworks, benchmarks, and validation pipelines.</li><li>
Continuously improve output based on real user feedback and usage patterns.</li><li>
Work with cloud platforms (Azure, AWS, or GCP) to deploy scalable AI solutions.</li><li>
Ensure AI systems comply with SOC 2, GDPR, HIPAA and Company security policies.</li><li>
Translate business problems into AI-driven solutions with measurable ROI.</li><li>
Deliver improvements in efficiency, automation, and decision-making.</li><li>
Rapidly prototype, iterate, and productionize solutions that scale.</li></ul><p><br>
</p><h2 class="jobSectionHeader"><b>Qualifications &amp; Competencies</b></h2><ul><li>
Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.<ul><li>
4+ years of experience in AI engineering</li><li>
8+ years of overall experience in software engineering, architecture, data engineering and machine learning.</li></ul></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Knowledge &amp; Skills</b></h3><ul><li>
Hands-on experience with:<ul><li>
Python</li><li>
LLMs (OpenAI, Azure OpenAI, Claude, Gemeni, etc.)</li><li>
Vector databases</li><li>
Cloud platforms (Azure preferred; AWS or GCP acceptable)</li><li>
Prompt Engineering</li><li>
RAG, MCP, Indexing and integrations</li></ul></li><li>
Experience building AI solutions from ground up in self-hosted, custom LLMs, hybrid or off he shelfs solutions.</li><li>
Preferred experience in:<ul><li>
Enterprise AI implementations</li><li>
Document processing and knowledge systems</li><li>
Data pipelines and ETL</li><li>
MLOps / AI platform engineering</li><li>
Familiarity with Salesforce, Workday, or ERP integrations</li></ul></li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Additional Information</b></h2><br>
At VERTEX, we invest in top talent with a highly competitive total compensation package designed to reward performance and support long-term success. Total compensation includes a base salary and a performance-based discretionary bonus program. Our comprehensive benefits package offers multiple healthcare and dental plan options, as well as company-paid Life Insurance, Short-Term Disability, and Long-Term Disability coverage&mdash;ensuring peace of mind for you and your family.<br>
<br>
We offer a 401(k) plan with immediate matching and full vesting, empowering employees to build financial security from day one. Additional benefits include Flexible Spending Accounts, a robust Employee Assistance Program, and a suite of exclusive perks that enhance everyday life.<br>
<br>
At The Vertex Companies, our salary ranges are intentionally designed to support meaningful career growth over time. These ranges allow employees to develop, expand their impact, and increase their earnings as they progress within their job level. A new hire&rsquo;s starting compensation is determined by their experience, geographical location, scope of the role at the time of hire, and Company affordability. Our ranges are structured to reward growth and performance, ensuring there is room for advancement and long-term opportunity.<br>
<br>
The salary ranges for this role are as follows:<br>
<br>
$109,000 - $299,000 USD annually (Geographical Tier AA - Sample Locations: NY Metro, San Franscisco, San Jose, Seattle)<br>
$101,000 - $276,000 USD annually (Geographical Tier A - Sample Locations: Irvine CA, Middlesex NJ, Tacoma WA, Boston, Alexandria)<br>
$92,000 - $253,000 USD annually (Geographical Tier B - Sample Locations - Baltimore, Chicago, Anchorage, Portland)<br>
$84,000 - $230,000 USD annually (Geographical Tier C - Sample Locations - Atlanta, Charlotte, Cincinnati, Miami)<br>
$80,000 - $219,000 USD annually (Geographical Tier D - Sample Locations - Mississippi, Mobile AL, Bowling Green KY, Tulsa)<br>
<br>
Time away matters&mdash;so we provide a generous paid time off program, including vacation, sick time, and paid holidays (with prorated options for eligible part-time employees).<br>
<br>
At VERTEX, growth never stops. Our signature &ldquo;Lifetime of Learning&rdquo; program offers tuition reimbursement and personalized support for employees pursuing advanced education&mdash;helping you sharpen your skills and accelerate your career.<br>
<h3 class="jobSectionHeader"><b>
Notice to Third Party Agencies:</b></h3><p><br>
Please note that The Vertex Companies employs a fully staffed recruiting team. We do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Agreement, VERTEX will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, VERTEX explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of VERTEX.</p></div>

ReadMe

<div>
 <strong>
  📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US)
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring an AI Engineer to shape how AI shows up across ReadMe&rsquo;s product: from how developers explore and understand APIs to how companies author and maintain their documentation.
 <br/>
 <br/>
 We&rsquo;re at the forefront of a major shift in developer experience:
 <br/>
 <br/>
 <ul>
  <li>
   AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable
  </li>
  <li>
   At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI
   <br/>
   <br/>
  </li>
 </ul>
 We're a small team of humans (and one owl) working together to do big things &mdash; and that&rsquo;s where you come in. In this role you&rsquo;ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture.
 <br/>
 <br/>
 🦉 What we do
 <br/>
 <br/>
 ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you&rsquo;ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you&rsquo;ve used ReadMe!
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 We love what we do because it&rsquo;s so much more than just documentation. We&rsquo;re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We&rsquo;ve got great support from our investors at Accel who led our Series A, and our interview process reflects the open, caring, and whimsical culture we want to maintain as we scale.
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 ✅ What you&rsquo;ll do here
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 This isn&rsquo;t a feature team where a PM hands you tickets. You&rsquo;ll help decide what gets built, why it matters, and how it works end-to-end. You&rsquo;ll work on systems that are already live across thousands of developer hubs and define what they become next.
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 ReadMe's AI surface spans three bets we're doubling down on:
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 <ul>
  <li>
   Documentation that writes itself. AI that watches code change and keeps docs current &mdash; from PR-level suggestions to org-wide audits that surface and fix quality issues at scale.
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  <li>
   Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through.
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   APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines.
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  </li>
 </ul>
 Day to day, you&rsquo;ll:
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 <ul>
  <li>
   Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features.
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  <li>
   Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation.
  </li>
  <li>
   Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality.
  </li>
  <li>
   Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries.
  </li>
  <li>
   Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches.
  </li>
  <li>
   Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail.
  </li>
  <li>
   Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.
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  </li>
 </ul>
 💙 You'll love this job if you...
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 <ul>
  <li>
   Want to own meaningful systems end-to-end, not just features.
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   Care deeply about developer experience and documentation quality.
  </li>
  <li>
   Enjoy working on problems where AI, APIs, and product design intersect.
  </li>
  <li>
   Have strong instincts about what makes AI actually useful and where the industry is headed.
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  </li>
 </ul>
 ️ ⭐️ This role is a great fit if you have...
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 <ul>
  <li>
   Experience building with LLMs in production, not just prototypes.
  </li>
  <li>
   Strong JavaScript/TypeScript or Python experience.
  </li>
  <li>
   Experience working with:
  </li>
  <ul>
   <li>
    Embeddings and retrieval systems (RAG).
   </li>
   <li>
    Prompting and structured outputs.
   </li>
   <li>
    Evaluation and iteration of AI systems (quality, latency, cost).
   </li>
  </ul>
  <li>
   Comfort working with APIs and structured data (JSON, OpenAPI, schemas).
  </li>
  <li>
   Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces.
  </li>
  <li>
   Strong instincts around when to use AI vs. deterministic approaches.
  </li>
  <li>
   Experience improving AI reliability, observability, and production readiness.
  </li>
  <li>
   Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.
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   <br/>
  </li>
 </ul>
 🌱 How you'll grow within one month...
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 <ul>
  <li>
   Build a deep understanding of ReadMe&rsquo;s AI systems and product surfaces.
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  <li>
   Ship meaningful improvements to existing AI features.
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  <li>
   Get close to real customer workflows and pain points.
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  </li>
 </ul>
 🪴 Within a few months, you'll...
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 <ul>
  <li>
   Own a core part of one of our AI systems.
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  <li>
   Drive improvements in quality, reliability, and user experience.
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  <li>
   Contribute to product and technical direction.
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  </li>
 </ul>
 🌳 Within your first year, you'll...
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 <ul>
  <li>
   Be a key driver of AI across the product.
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  <li>
   Ship systems used daily by thousands of developers and teams.
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  <li>
   Help define how AI reshapes developer hubs and API workflows.
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  </li>
 </ul>
 🛣️ What's the hiring process like?
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  <li>
   We can&rsquo;t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better!
  </li>
  <li>
   If we think we might be a good fit for you, we&rsquo;ll set up a 30 minute phone chat with our VP Engineering Moses! He&rsquo;ll tell you more about the role, and get a chance to hear about your experiences.
  </li>
  <li>
   Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we&rsquo;ll dive a bit more into your background.
  </li>
  <li>
   We&rsquo;ll then do a technical assessment with a couple of ReadMe engineers.
  </li>
  <li>
   Finally we&rsquo;ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you&rsquo;ll be interviewing with, and then have you talk with people one-on-one later on.
  </li>
  <li>
   We&rsquo;ll let you know how things went within a week! If it still seems like a good fit all around, we&rsquo;ll extend you an offer! If not, we will update you to let you know so you aren&rsquo;t left hanging.
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  </li>
 </ul>
 <strong>
  ✨ Our Benefits Include&hellip;
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 </strong>
 <ul>
  <li>
   Unlimited PTO with a three-week minimum. 🏝️
  </li>
  <li>
   Fully covered medical, dental, and vision insurance for you, and 100% for your dependents.
  </li>
  <li>
   A One Medical membership. 👨&zwj;⚕️
  </li>
  <li>
   A gym or fitness stipend of up to $150 per month. 🏋️&zwj;&female;️
  </li>
  <li>
   One-to-one donation matching of up to $1,000 per year. 💸
  </li>
  <li>
   Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣
  </li>
  <li>
   Work from home. 🏠
  </li>
  <li>
   Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️
  </li>
  <li>
   Take a look at our handbook for more information on our benefits! 📘
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   <br/>
  </li>
 </ul>
 Not sure if you&rsquo;d be the right fit? Apply anyway! We&rsquo;d love to see your application.
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 <strong>
  At ReadMe, we&rsquo;re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.
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 </strong>
</div>


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