software engineer

data engineer

ai engineer

data analytics engineer

data engineer intern

generative ai engineer

Capgemini

<div><div><div><p>New York</p><div>
Gen AI Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Location - Job Location - NYC NY (Day One Onsite - Hybrid)</div></div></div><div></div><div><div><div>
Job Description</div></div><div><div><p>
Job Description</p></div><div><p>
We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions In this role you will work closely with senior developers AI architects and business stakeholders to deliver impactful AIdriven features and products.</p><p>
</p><p>Key Responsibilities</p><p>
Implement and finetune generative AI models under the guidance of senior team members<br>
Contribute to prompt engineering and development of AIpowered workflows<br>
Assist with the deployment monitoring and maintenance of AI models in production environments<br>
Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities<br>
Perform data preprocessing feature engineering and API development for AI applications<br>
Participate in code reviews testing and documentation to ensure quality and reliability<br>
Stay updated with advancements in GenAI and share relevant learnings with the team</p><p>
</p><p>Required Technical Skills<br>
Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras<br>
Familiarity with LLMs prompt engineering and finetuning eg LoRA QLoRA<br>
Exposure to RAG systems and basic knowledge of hybrid search techniques<br>
Understanding of model deployment and containerization Docker<br>
Proficiency in Python for AI development data preprocessing and scripting<br>
Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus<br>
Understanding of version control systems Git<br>
Awareness of AI compliance data privacy and responsible AI principles</p><p>
</p><p>Required Soft Skills<br>
Strong teamwork and communication abilities<br>
Willingness to learn new AIML technologies and frameworks<br>
Analytical mindset and attention to detail<br>
Openness to feedback and continuous improvement</p><p>
</p><p>Qualifications<br>
Bachelors degree or Masters degree in Computer Science Data Science AI or a related field<br>
3-5 years of professional experience in AIML development with exposure to Generative AI<br>
Experience delivering AIML projects in a collaborative setting<br>
Exposure to cloud based AIML environments AWS GCP or Azure is a plus</p></div></div></div></div><p>
The base compensation range for this role in the posted location is : $ 56186 - 87556
</p><p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
426728-en_US</div></div><div><div>
Posted on</div><div>
05 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Gen AI Engineer

Software Engineer, AI Native

Tata Consultancy Services (TCS)

<p></p><div><div><div><div><div>AI Specialist
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Technical Expertise:</div><br>
<div><br>
</div><ul><li>Proficiency in AI/ML frameworks (TensorFlow, PyTorch), Generative AI models, and NLP techniques,</li></ul><br>
<div><br>
</div><div>Adobe&rsquo; suite of products</div><br>
<div><br>
</div><ul><li>Hands-on experience with cloud AI services (AWS, Azure AI, Google Cloud AI) and tools like GitHub</li></ul><br>
<div><br>
</div><div>Copilot.</div><br>
<div><br>
</div><ul><li>Strong programming skills in Python and familiarity with APIs for integration.</li></ul><br>
<div><br>
</div><div>Domain Knowledge:</div><br>
<div><br>
</div><ul><li>Understanding of digital experience platforms, marketing technology stacks (Adobe, Sitecore,</li></ul><br>
<div><br>
</div><div>Salesforce, etc.), and data ecosystems.</div><br>
<div><br>
</div><ul><li>Exposure to personalization engines, recommendation systems, and conversational AI.</li></ul><div><br>
</div>
<div></div><br>
<div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>The AI Specialist will be a key contributor in TCS Interactive&rsquo;s DX Practice, focusing on designing, developing,</div><br>
<div><br>
</div><div>and deploying AI-driven solutions that enhance customer experience, marketing technology, and digital</div><br>
<div><br>
</div><div>transformation initiatives. This role demands strong technical expertise in AI/ML and Generative AI, combined</div><br>
<div><br>
</div><div>with a deep understanding of digital experience platforms and enterprise ecosystems.</div><div><br>
</div>
<div></div><br>
<div>Solution Development:</div><br>
<div><br>
</div><div>&middot; Design and implement AI-powered solutions for personalization, automation, and customer engagement across marketing, commerce, and service channels. &middot; Develop and optimize machine learning models for predictive analytics, recommendation engines, and conversational AI. Innovation &amp; Experimentation: &middot; Drive PoC and MVP-led experimentation for AI use cases in DX, leveraging frameworks &middot; Collaborate with design studios and engineering teams for rapid prototyping and creative AI engineering. Integration &amp; Deployment: &middot; Integrate AI capabilities with enterprise platforms such as Adobe Experience Cloud, AEM, CDP, and marketing automation tools. &middot; Ensure compliance with Responsible AI frameworks, geo-specific regulations, and data privacy standards. Collaboration &amp; Advisory: &middot; Work closely with DX Advisors, Experience Designers, and Martech SMEs to align AI solutions with client objectives. &middot; Participate in client workshops and strategic discussions to position AI capabilities effectively.</div><br>
<div><br>
</div><div>Generic Managerial Skills, If any</div><br>
<div><br>
</div><ul><li>Strong analytical and problem-solving abilities.</li></ul><br>
<div><br>
</div><ul><li>Excellent communication and stakeholder management skills.</li></ul><br>
<div><br>
</div><div>Ability to work independently and in cross-functional teams.
</div><div>Education
</div><div>Bachelor&rsquo;s Degree</div><br>
<div><br>
</div><div>Salary Range: $180,000 - $230,000 a year</div><br>
<div><br>
</div><div>#LI-JH1</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Specialist</div>
</div><div><div><b>Job Id</b></div>
<div>401107</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$180,000-$230,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Specialist -Artificial Intelligence

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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.
<br>
<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.<br>
<br>
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!<br>
<br>
Key job responsibilities<br>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
<br>
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.<br>
<br>
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 8+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with vLLM, SGLang, TensorRT or similar platforms in production environments, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, NY, New York - 183,800.00 - 248,700.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, Sponsored Products and Brands Off-Search

Abridge

<div>
 <strong>
  About Abridge
  <br/>
  <br/>
 </strong>
 Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most&mdash;their patients.
 <br/>
 <br/>
 Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.
 <br/>
 <br/>
 We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We are looking for passionate
 <strong>
  GenAI Engineers
 </strong>
 of all levels who are passionate about making a positive impact. You&rsquo;ll collaborate closely with a cross-functional team of researchers, clinicians, and engineers to translate cutting-edge language model capabilities into dependable, real-world clinical systems. Your focus will be on designing advanced LLM-driven workflows that can reason through complex clinical contexts, leverage agentic capabilities and structured tool use, navigate branching chains of LLM calls, integrate seamlessly with retrieval systems, and consistently generate outputs that meet the highest standards of clinical reliability and trust.
 <br/>
 <br/>
 A major part of this role will involve developing and applying rigorous evaluation frameworks (both automated and human-in-the-loop) to continuously assess accuracy, robustness, multilingual capabilities, and more. This is an opportunity to design experiments to probe failure modes, simulate edge cases, and stress-test LLM workflows under realistic load and challenging real-world conditions. You&rsquo;ll apply a disciplined, data-driven approach to understanding model behavior&mdash;developing tools to measure system performance, conduct A/B tests against established baselines, and generate clear, actionable insights that inform deployment decisions. This high impact role will own the end-to-end productionization of LLM workflows: deploying models into low-latency, high-uptime environments, building monitoring and observability systems, implementing post-processing guardrails, and managing workflow versioning.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build GenAI systems that turn LLMs into composable, dependable tools&mdash;leveraging retrieval, tool use, agentic reasoning, and structured outputs.
  </li>
  <li>
   Collaborate with ML and infra engineers to scale and optimize GenAI workflows, managing latency, context windows, and model choice.
  </li>
  <li>
   Write high-quality, modular code that&rsquo;s graceful under failure, flexible to change, and easy to iterate on.
  </li>
  <li>
   Own major architectural decisions&mdash;how we architect workflows,define data flow, cache intermediate state, and structure generative outputs.
  </li>
  <li>
   Drive rigorous evaluation: build benchmark datasets, develop automated and human-in-the-loop frameworks, design experiments to surface failure modes and edge cases, run A/B tests to inform deployment, and distill insights from clinician feedback to evaluate and guide model improvement.
  </li>
  <li>
   Leverage frontier capabilities: rapidly prototype with new models and model capabilities, open-source tools, and novel prompting techniques.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience building production-grade systems, with 1&ndash;2+ years focused on GenAI or LLM-powered products.
  </li>
  <li>
   Deep fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, custom pipelines).
  </li>
  <li>
   Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool-use, or agentic workflows.
  </li>
  <li>
   Working knowledge of model evaluation, experience building diverse datasets, conducting both automated and human-in-the-loop evaluations, running A/B tests, and working with subject matter experts to guide model improvement.
  </li>
  <li>
   Strong Python fundamentals&mdash;including ability to write clean code, design comprehensive test-cases, and familiarity with core language features and standard libraries; experience with async programming, performance profiling, packaging, and deployment tooling is strongly preferred.
  </li>
  <li>
   Good taste and intuition: You know when to move fast, ship, and iterate and also when to take a beat to tackle tech debt.
   <br/>
   <br/>
  </li>
 </ul>
 We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you&rsquo;re interested in the role but aren&rsquo;t sure whether or not you&rsquo;re a good fit, we&rsquo;d still like to hear from you.
 <br/>
 <br/>
 <strong>
  Must be willing to work from our SF office at least 3x per week
  <br/>
  <br/>
 </strong>
 This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.
 <br/>
 <br/>
 <strong>
  Why Work at Abridge?
  <br/>
  <br/>
 </strong>
 At Abridge, we&rsquo;re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We&rsquo;re driving real, lasting change, with millions of medical conversations processed each month.
 <br/>
 <br/>
 Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership&mdash;every employee has the ability to (and is expected to) make an impact on our customers and our business.
 <br/>
 <br/>
 Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it&rsquo;s not just what we do&mdash;it&rsquo;s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.
 <br/>
 <br/>
 We&rsquo;re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.
 <br/>
 <br/>
 If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.
 <br/>
 <br/>
 <strong>
  How we take care of Abridgers:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
  </li>
  <li>
   Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
  </li>
  <li>
   Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
  </li>
  <li>
   Paid Parental Leave: Generous paid parental leave for all full-time employees.
  </li>
  <li>
   Family Forming Benefits: Resources and financial support to help you build your family.
  </li>
  <li>
   401(k) Matching: Contribution matching to help invest in your future.
  </li>
  <li>
   Personal Device Allowance: Tax free funds for personal device usage.
  </li>
  <li>
   Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
  </li>
  <li>
   Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
  </li>
  <li>
   Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
  </li>
  <li>
   Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
  </li>
  <li>
   Compensation and Equity: Competitive compensation and equity grants for full time employees.
  </li>
  <li>
   ... and much more!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
 <br/>
 <br/>
 <strong>
  Staying safe - Protect yourself from recruitment fraud
  <br/>
  <br/>
 </strong>
 We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
 <br/>
 <br/>
 Compensation Range: $255K - $300K
 <br/>
 <br/>
</div>


Software Engineer, GenAI

Citi

<div><p><b>Data Scientist, Generative AI &amp; Capital Markets - Spread Products</b></p><p></p><p><b>
About Spread Products at Citi Markets</b></p><p>
Citi's Spread Products division stands at the forefront of capital markets, delivering essential liquidity and pioneering solutions across the global credit and securitized landscape. This dynamic and high-impact group encompasses origination, structuring, investing, lending, and market making activities across an extensive spectrum of products, including corporate and emerging market bonds, asset-backed and mortgage-backed securities (ABS/MBS), collateralized loan obligations (CLOs), and complex derivative instruments. As a core component of Citi's Markets division, we empower clients with critical capital and innovative financial instruments.</p><p></p><p><b>
The Opportunity: Data Scientist, Generative AI - Spread Products</b></p><p>
We are actively expanding our dedicated Data Science team within Spread Products, seeking an innovative Data Scientist passionate about leveraging advanced data science techniques and artificial intelligence. This is a unique opportunity to drive the development and widespread adoption of cutting-edge AI solutions, particularly in Generative AI, across all facets of our business, directly impacting trading, risk management, and client solutions in capital markets.</p><p><b>
Key Responsibilities</b></p><p><b>
AI Solution Development</b></p><ul><li><b>
Pioneer Generative AI Solutions:</b> Design, develop, and deploy production-grade AI applications leveraging state-of-the-art Generative AI techniques, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced agentic frameworks tailored for capital markets.</li><li><b>
Drive Workflow Transformation:</b> Construct innovative AI/data solutions that significantly enhance workflows and operational efficiency across a diverse range of product classes, such as corporate bonds, Mortgage-Backed Securities (MBS), Collateralized Loan Obligations (CLOs), and derivative instruments.</li><li><b>
Advance Autonomous Systems:</b> Architect and implement agentic coding systems capable of autonomously generating, testing, and optimizing complex financial models and analytical tools specifically for credit and securitized markets.</li><li><b>
Build Intelligent Interfaces:</b> Develop intuitive conversational AI interfaces and intelligent assistants to empower originators, structurers, investors, lenders, and market makers within the Spread Products ecosystem.</li></ul><p><b>
Data Engineering &amp; Integration</b></p><ul><li><b>
Engineer Robust Data Pipelines:</b> Design, construct, and maintain scalable data pipelines to underpin advanced AI/ML workflows, seamlessly integrating vast datasets including real-time market data, comprehensive credit data, securitized product performance analytics, and proprietary research content.</li><li><b>
Seamless AI Integration:</b> Develop robust APIs and microservices to effectively embed AI capabilities into Citi's critical capital markets, credit, and securitized product platforms.</li><li><b>
Optimize Data Infrastructure:</b> Implement and optimize high-performance data storage and retrieval solutions capable of managing and processing large volumes of complex credit and securitized market data for demanding AI applications.</li><li><b>
Champion Data Automation:</b> Contribute to the strategic automation and lifecycle management of data assets across the entire Spread Products business.</li></ul><p><b>
Collaboration &amp; Innovation</b></p><ul><li><b>
Strategic Business Partnership:</b> Actively collaborate with diverse business stakeholders across all product lines and geographies within Spread Products to identify, prioritize, and champion high-impact AI implementation opportunities.</li><li><b>
Quant Research Synergy:</b> Partner closely with quantitative researchers to integrate cutting-edge AI techniques into sophisticated credit and securitization pricing, advanced risk models, and optimized portfolio management strategies.</li><li><b>
Regulatory Adherence &amp; Governance:</b> Work proactively with compliance, legal, and risk management teams to ensure all AI solutions adhere strictly to regulatory frameworks and governance requirements specific to the capital markets domain.</li><li><b>
Continuous Learning &amp; Innovation:</b> Maintain deep expertise in emerging AI technologies, methodologies, and industry trends, continuously evaluating their potential applicability and value to Spread Products' evolving business needs.</li><li><b>
Foster AI Community:</b> Actively contribute to and engage with Citi's broader AI/ML community of practice, fostering knowledge sharing, best practices, and collaborative innovation across the firm.</li></ul><p></p><p><b>
Required Qualifications</b></p><p><b>
Education</b></p><ul><li>
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Quantitative Finance, or a closely related quantitative field.</li><li>
Exceptional academic grounding in algorithms, data structures, software engineering principles, and computational mathematics.</li></ul><p><b>
Professional Experience</b></p><ul><li>
1-5 years of progressive professional experience in AI/ML engineering, advanced software development, or data science roles, with a strong preference for backgrounds within financial services or capital markets.</li><li>
Proven track record of successfully designing, developing, and deploying robust, production-grade AI applications in complex environments.</li><li>
Direct experience or strong foundational understanding of credit markets, securitized products, or other relevant financial instruments is highly advantageous.</li></ul><p><b>
Technical Expertise</b></p><p><b>
Generative AI &amp; Machine Learning:</b></p><ul><li>
Deep, hands-on experience with state-of-the-art Generative AI techniques, including practical application and fine-tuning of Large Language Models (LLMs) such as GPT, Claude, Llama, or similar architectures.</li><li>
Demonstrated expertise in designing and implementing Retrieval-Augmented Generation (RAG) systems for enterprise applications.</li><li>
Practical experience with agentic frameworks and the development of autonomous coding or intelligent decision-making systems.</li><li>
Comprehensive knowledge of classical and modern machine learning algorithms, statistical modeling, and experimental design.</li><li>
Solid understanding of financial mathematics, quantitative modeling, and their application within capital markets.</li></ul><p><b>
Programming &amp; Development:</b></p><ul><li>
Demonstrated proficiency in Python, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and software development best practices (e.g., version control, testing, clean code).</li><li>
Advanced SQL skills with experience querying and optimizing performance on large, complex datasets.</li></ul><p><b>
What We Offer</b></p><ul><li>
An intellectually stimulating and fast-paced environment at the intersection of cutting-edge AI and global capital markets.</li><li>
Opportunity to work on high-impact projects that directly shape the future of finance.</li><li>
Access to vast datasets and state-of-the-art computational resources.</li><li>
A culture of continuous learning, innovation, and professional growth within a leading global financial institution.</li><li>
Competitive compensation and benefits package.</li></ul><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Institutional Trading<p>
-</p><p><b>
Job Family:</b></p>
Trading<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
New York New York United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$175,000.00 - $250,000.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 18, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Scientist, Generative AI - Spread Products

Cornspring

<div>
 <strong>
  Term
 </strong>
 : June - August 2026 (3 months, full-time)
 <br/>
 <br/>
 Permanent positions may be offered to selected candidates upon successful completion of their internship, subject to performance.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Cornspring is an innovative FinTech start-up with a mission to empower Family Offices and Asset Owners with real-time, AI-driven data intelligence and portfolio insights.
 <br/>
 <br/>
 We are tackling one of the most complex and valuable challenges in finance. Our clients operate at the highest levels of global markets, managing billions in assets, yet they remain constrained by legacy systems that are slow, fragmented, and outdated.
 <br/>
 <br/>
 Cornspring is redefining Family Office services by applying state-of-the-art generative AI and Large Language Models to investment, accounting, and operational data. Our platform delivers faster insights, greater transparency, and entirely new ways of interacting with financial information.
 <br/>
 <br/>
 <strong>
  <strong>
   The role
  </strong>
  <br/>
  <br/>
 </strong>
 We are looking for an enthusiastic and driven Data Engineer Intern to build and maintain ingestion pipelines and validation / reconciliation logic.
 <br/>
 <br/>
 If you like system thinking, performance, reliability, and debugging complex problems with strong engineering discipline, we would love to speak with you.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build efficient data pipelines for financial data flows whilst ensuring data and analytics are leveraged for future growth.
  </li>
  <li>
   Monitor data movement, transformation logic and performance of all pipelines as required to maintain data integrity and quality supplied to ML processes.
  </li>
  <li>
   Designing and implementing data solutions for new data and servicing initiatives and providing continuous oversight for existing solutions to maintain data accuracy, service quality and solution performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Educational Background and Professional Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Undergraduate (junior/senior preferred) or graduate students in Computer Science, Data Science, or a related field.
  </li>
  <li>
   Experience designing, building, and maintaining data pipelines for large-scale data solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Technical Proficiencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python, pandas and data science libraries plus solid SQL skills for querying and manipulating large datasets. Experience with PostgreSQL is preferred.
  </li>
  <li>
   Ability to design scalable, secure data models and implement best practices for data storage and retrieval.
  </li>
  <li>
   Familiarity with AI for coding, machine learning applications and approaches to maintain high-quality, compliant data for AI-driven use cases. Experience with data unit testing is preferred.
  </li>
  <li>
   Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions.
  </li>
  <li>
   Experience with unstructured data processing is a plus.
  </li>
  <li>
   Experience with Azure cloud services is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Compensation: $20-30 per hour
  </li>
  <li>
   Hybrid working: three days per week in our Manhattan office.
  </li>
  <li>
   An opportunity to work at the forefront of AI-driven finance, tackling genuinely complex and high-impact challenges.
  </li>
  <li>
   Hands-on exposure to advanced ML, LLM, and data technologies within real production systems.
  </li>
  <li>
   A collaborative, high-ownership start-up environment offering exceptional learning opportunities.
  </li>
  <li>
   The chance to help shape the future of Family Office and Asset Management technology.
  </li>
 </ul>
</div>


Data Engineer Intern

Explore 614+ Generative ai engineer in New York this March. Find roles across top companies and apply now to boost your career.