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senior full-stack engineer

senior ai engineer

CVS Health

<div>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
POSITION SUMMARY
CVS Health Digital is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers&rsquo; lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. CVS is seeking an experienced Senior AI Engineer to design and implement scalable AI-driven applications. This Senior AI Engineer should have experience with LLMs, RAG, fine-tuning, and related AI/ML domains. Additionally, this Engineer should be skilled in programming languages such as Python, and proficient with cloud-based AI platforms and frameworks. The role requires strong analytical thinking, a deep understanding of model training and evaluation, and the ability to translate business requirements into technical solutions that deliver measurable impact.
Responsibilities for the Role<ul><li>
Design, develop, and maintain both front-end interfaces and backend services with AI capabilities</li><li>
Create and manage RESTful APIs and integrate AI services such as LLMs, embeddings, and document parsing tools</li><li>
Extract, transform, and analyze large datasets to enhance product features and user experience</li><li>
Implement highly optimized machine learning pipelines with quantized models for legacy hardware</li><li>
Ensure high code quality through rigorous testing, code reviews, and debugging</li><li>
Proactively solve technical issues and contribute to all phases of the development lifecycle</li><li>
Stay updated with emerging technologies and incorporate them into our operations where beneficial</li></ul>
REQUIRED QUALIFICATIONS<ul><li>
5+ years of overall Software Development experience with at least 1+ year developing AI/NLP solutions using LLMs</li><li>
3+ years of Python (or similar) development skills with experience in working with CSV/JSON/XML input formats</li><li>
Familiarity with cloud-based LLM services such as Google Vertex AI, Azure OpenAI</li><li>
Experience fine-tuning LLMs / SLMs</li><li>
Experience with Retrieval-Augmented Generation (RAG) is a plus</li><li>
Experience with data processing, data analysis, and building data pipelines</li><li>
Solid understanding of rule-based processing and data-driven content generation</li></ul>
PREFERRED QUALIFICATIONS<ul><li>
Experience with lightweight local development for AI proof-of-concepts</li><li>
Prior work on e-commerce, retail, or marketing content generation</li><li>
Deploying applications on cloud infrastructure such as Azure, GCP</li><li>
Building scalable cloud solutions</li><li>
Familiarity with databases (SQL, NoSQL)</li></ul>
EDUCATION
Bachelor&rsquo;s degree or, equivalent experience (HS diploma + 4 years relevant experience)
BUSINESS OVERVIEW
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand &mdash; with heart at its center &mdash; our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors&trade; support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 01/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior AI Engineer

Phamily

<div>
 
 Software Engineer (AI Health-Tech SaaS, Hybrid)
 
 
 
 
 Location:
 
 New York (Hybrid &ndash; 3 days in office)
 
 
 
 Salary Range:
 
 TBD
 
 
 
 Who We Are:
 
 
 
 Jaan Health is seeking a high-potential Software Engineer (
 
 not a Sr. or Leader position
 
 ) who is ready to grow rapidly, tackle meaningful problems, and learn from experienced teammates while building an AI-driven platform that&rsquo;s transforming healthcare for patients and providers.
 
 
 Jaan Health is a rapidly growing software company that leverages accessible technology and artificial intelligence (AI) to drive better healthcare outcomes for patients, while addressing the increasing cost and profitability challenges facing the healthcare industry. Our SaaS platform, Phamily, provides healthcare systems and physicians with an AI-powered virtual care platform that enables them to efficiently and easily manage the chronic conditions and general healthcare needs of their patients between office visits, while also enhancing their own reimbursement and financial sustainability in the process. Phamily helps transform healthcare from reactive episodic treatment to proactive care management. We've helped hundreds of thousands of patients since our founding. We need your help to serve even more patients and revolutionize the delivery of healthcare!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work full-stack with Ruby on Rails, Python, SQL, JS/Vue/React, and modern web tooling
 </li>
 <li>
 Build and refine features that go from prototype, launch and iteration
 </li>
 <li>
 Collaborate with senior engineers and tech leads, receiving feedback and mentorship
 </li>
 <li>
 Use AI tools to speed up development, testing, and learning
 </li>
 <li>
 Write clean, maintainable code and improve quality over time
 </li>
 <li>
 Help maintain and enhance our AI-powered care management platform
 
 
 </li>
 </ul>
 
 Skill you will need:
 
 
 
 <ul>
 <li>
 Degree in Computer Science or related fields
 </li>
 <li>
 Strong fundamentals in web application development, databases, and problem-solving
 </li>
 <li>
 Some experience (academic, internship, or personal) with full-stack projects
 </li>
 <li>
 Clear communicator who asks thoughtful questions
 </li>
 <li>
 Eager to learn, grow, and iterate quickly
 </li>
 <li>
 Bonus: Interest or experience in healthcare, data, or AI-driven products
 
 
 </li>
 </ul>
 
 You will be a great fit for this role if:
 
 
 
 <ul>
 <li>
 You&rsquo;re naturally curious and get hooked on problems, even outside of work. Maybe you&rsquo;re obsessed over a personal project, a class challenge, or an idea you can&rsquo;t stop improving. You love understanding how things work and aren&rsquo;t satisfied until you know the &ldquo;why.&rdquo;
 </li>
 <li>
 You can break down complex ideas into simple explanations and communicate clearly, even when discussing new or unfamiliar concepts.
 </li>
 <li>
 You&rsquo;re scrappy and have a bias toward action. You&rsquo;ve shipped a project or prototype fast, maybe in school, at an internship, or on your own, and made intelligent trade-offs to deliver something real instead of perfect.
 </li>
 <li>
 Most importantly, you&rsquo;re an AI-native learner. You already use tools like Claude Code, GitHub Copilot, Cursor, or similar to move faster, debug better, and learn quickly. You know AI won&rsquo;t replace engineers, but engineers who use AI will outperform those who don&rsquo;t.
 
 
 </li>
 </ul>
 
 Our Compensation &amp; Benefits:
 
 
 
 <ul>
 <li>
 Competitive compensation commensurate with experience
 </li>
 <li>
 Potential to earn equity based on performance
 </li>
 <li>
 We embrace a remote working environment
 </li>
 <li>
 Medical, Dental, and Vision coverage for employees and dependents at a nominal cost
 </li>
 <li>
 Vision coverage for employees and dependents at a nominal cost
 </li>
 <li>
 Paid Maternity Leave
 </li>
 <li>
 FSA and Dependent Care savings account options
 </li>
 <li>
 401(k)
 </li>
 <li>
 A collaborative work environment
 
 
 </li>
 </ul>
 If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You will be part of a smart, self-aware, humble team dedicated to improving healthcare.
 
 
 
 Jaan Health and Phamily provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 
</div>

Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is looking for a Senior Data Engineer to help develop a data strategy for Science-Tech Products for NA Supply Chain organization within the Execution and Planning Science (EPS) team. This role will be critical in implementing AI-driven transformation of supply chain planning processes, particularly focusing on under-the-roof labor planning initiatives. 
 
This Data Engineer will work cross-functionally with multiple business stakeholders, technology and Science teams and work with a team of talented scientists and SDEs to develop and implement AI agent-based solutions in the growing GenAI and Large Language Model (LLM) space that is business critical to keep innovating. The role involves creating and implementing a data engineering strategy to support specialized AI agents for Input Validation, Science Model Explainability, Data Analytics, Labor Plan Scenarios, and Risk Analysis capabilities in order to transform manual planning processes into intelligent, automated workflows.
 
 
You will work to enable a roadmap that will enable automation of manual labor planning processes by enhancing agentic decisions via data-driven insights. Your focus will be on Science-Tech services that automate routine operational tasks while maintaining human oversight for critical decisions, driving substantial improvements in planning efficiency through intelligent scenario evaluation and selection. 
 
Key job responsibilities 
<ul><li>Work cross-functionally with multiple business, engineering, and leadership stakeholders to deliver labor planning products that are business critical for supporting network growth and program expansion in Amazon&rsquo;s increasingly complex last mile operations.</li></ul> 
<ul><li>Deep diving current state processes and systems, understanding operational challenges within those processes and systems, collaborating cross-functionally to brainstorm and drive the right solution for the business.</li></ul> 
<ul><li>Collaborating with cross-functional partners to understand pain points and prioritize projects, initiatives, and product solutions</li></ul> 
<ul><li>Collaborating regularly and independently with tech teams to define customer acceptance criteria, test new features and drive the roll-out and adoption by business.</li></ul> 
<ul><li>Making trade-off decisions with the tech team regarding features and priorities within the roadmap based on impact and speed to market.</li></ul> 
<ul><li>Managing the data engineering strategy from high level organizational design to tactical execution.</li></ul> 
<ul><li>Disambiguating product requirements based on an intimate knowledge of the data technologies available.</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy</li><li>Knowledge of distributed systems as it pertains to data storage and computing</li><li>Knowledge of professional software engineering &amp; best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>Experience in development or technical support, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience operating large data warehouses</li><li>Experience building data products incrementally and integrating and managing data sets from multiple sources</li><li>Experience providing technical leadership on high-impact cross-fucntional technical project</li><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience building multi-agent systems, LangChain/LangGraph applications, or custom AI agent frameworks</li><li>Experience with orchestration tools (Airflow, Step Functions, MWAA) and AI-powered workflow automation</li><li>Experience with infrastructure-as-code (CDK, Terraform, CloudFormation) and AI-assisted infrastructure management</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Data Engineer, Execution and Planning Science (EPS)

primehire

<div>
 
 
 Backend Engineer - New York (hybrid)
 
 
 
 
 
 
 Our customer has recently raised their seed funding round to scale their founding engineering team. They're an AI startup developing autonomous software to automate, populate, and source information for sales teams at Fortune 500 companies.
 
 
 
 
 
 Your role will be to focus on Backend Product Engineering to build infrastructure that runs their AI system. You'll own their entire backend feature and design backend architecture from scratch enhancing user-interface products.
 
 
 
 
 <ul>
 <li>
 3+ years backend experience with NodeJS and TypeScript.
 </li>
 <li>
 Strong AWS severless experience (SQS, SNS, SES, RDS, S3).
 </li>
 <li>
 Strong experience designing, optimizing, and tuning data.
 </li>
 <li>
 Strong experience in containerization and deployment.
 </li>
 <li>
 Strong experience building APIs and services.
 </li>
 <li>
 Ideally someone who has a strong product mindset.
 </li>
 <li>
 Previous AI/LLM experience would be a huge bonus.
 </li>
 <li>
 This role is suited for someone who thrives in a startup environment.
 </li>
 </ul>
 
 
</div>

Back End Developer

KNIT

<div>Who we&rsquo;re looking for&hellip; 
 
Role: Senior Full Stack Engineer 
Team: Engineering 
Reports To: Head of Engineering 
Location: Knit&rsquo;s NYC office (Hybrid) 
Operating hours: Monday - Friday 9am - 5pm EST. 
Travel: This role will occasionally be expected to travel for in-person internal working sessions, and our once per year US All Team Summit. [To be less than 15%] 
 
A little about us&hellip;
Knit is building the agentic AI platform that helps enterprise brands run end&#8209;to&#8209;end consumer research. We orchestrate specialized AI agents for surveys, data collection, analysis, and reporting, delivering decision-grade insights to Fortune 1000 brands in hours, not weeks. 
 
In under two years, we&rsquo;ve partnered with 50+ leading enterprise brands, including Amazon, Mars, NASCAR, JBL, ESPN, and Paramount. Knit has grown 500% in the last 12 months and raised $30.6M to date, including a $16.1M Series A in July 2025. Here are example case studies that demonstrate the value of our platform. A product demo can be found here.
Overview
We&rsquo;re building our foundational NYC engineering team from scratch and looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. 
 
As one of the first in-house engineers, you&rsquo;ll shape the core of our platform and the culture of a team that will scale to 20+ over the next 18 months. You&rsquo;ll build and orchestrate AI agents, pioneer new UX paradigms, and tackle some of the hardest problems in applied AI with autonomy and end-to-end ownership.
Business Impact | What you will own&hellip;<ul><li>
Own 0 1 and 1 N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services.</li><li>
Architect and own the core agent orchestration engine, designing complex, multi&#8209;agent LLM workflows (routing, tool&#8209;use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users.</li><li>
Build AI&#8209;native, human&#8209;in&#8209;the&#8209;loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design.</li><li>
Develop the &quot;factory for the factory&quot;. Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls.</li><li>
Ship fast, safely. You&rsquo;ll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch.</li><li>
Partner cross&#8209;functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product.</li><li>
Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU).</li><li>
Operate what you build. This includes on&#8209;call ownership, leading incident response, and driving learning through blameless postmortems.</li></ul><h3 class="jobSectionHeader">
Our Stack</h3><ul><li>
Frontend: React, Next.js</li><li>
Backend: Python, FastAPI</li><li>
Data/ML: MongoDB, S3, Redis; Pinecone</li><li>
Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions.</li><li>
Messaging: SQS; event&#8209;driven pipelines.</li></ul><h3 class="jobSectionHeader">
This role is for you if...</h3><ul><li>
You&rsquo;re a 0 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it.</li><li>
You&rsquo;re a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript.</li><li>
You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes.</li><li>
You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness.</li><li>
You believe speed and quality aren&rsquo;t opposites and can articulate the tradeoffs you make.</li><li>
You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers.</li><li>
You&rsquo;ve got grit: hard problems energize you, context switching doesn&rsquo;t scare you, and you&rsquo;re comfortable deleting code.</li></ul><h3 class="jobSectionHeader">
This role is NOT for you if...</h3><ul><li>
You see a hard line between &quot;frontend,&quot; &quot;backend,&quot; and &quot;product.&quot;</li><li>
You are uncomfortable with ambiguity, rapid context-switching, and dynamic priorities.</li><li>
You are looking for a predictable, 9-to-5 role.</li></ul>
Required Skills &amp; Experiences<ul><li>
Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs.</li><li>
Deep knowledge of event&#8209;driven systems, streaming, and workflow engines.</li><li>
Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms.</li><li>
Background in enterprise security and compliance (SOC 2, GDPR)</li><li>
Bias to action: short specs, small PRs, daily deploys.</li><li>
In-person collaboration: we&rsquo;re building the NYC hub together; whiteboards &gt; long threads.</li><li>
High ownership: you&rsquo;ll touch product, talk to customers, and influence the roadmap.</li></ul>
Benefits
Upon joining the Knit team in this foundational role, you will receive a competitive salary, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! 
 
Salary 
In accordance with New York pay transparency requirements, the expected base salary range for this role is $200,000&ndash;$275,000 annually; final compensation will be determined based on the candidate&rsquo;s level, experience, and qualifications upon joining Knit.
aYoi81irtu</div>

Senior Full Stack Engineer (NYC)

Elliot Partnership

<div><div><ul><li>Senior Systems Engineer &ndash; Identity &amp; Linux Security
</li><li>New York (Hybrid)
</li><li>Highly competitive compensation package 
</li></ul> 
Are you a builder with deep expertise in Linux internals and Identity architecture? An elite technology-driven firm is seeking a Senior Systems Engineer to take ownership of its critical authentication platforms. This is not a standard maintenance role; it is an opportunity to architect the bridge between complex legacy infrastructure and modern identity security in a high-performance computing environment. 
 
Responsibilities: 
 
Identity Architecture Modernization &ndash; Redesign and modernize the firm&rsquo;s internal PKI and authentication services, bridging the gap between Kerberos/Active Directory and modern OIDC/OAuth standards. 
 
Linux Security Engineering &ndash; Secure the global Linux fleet by designing solutions for insider risk monitoring, privileged access (PAM), and process-level identity. 
 
Deep-dive Troubleshooting &ndash; Go beyond standard admin tasks to debug complex OS, kernel, and filesystem issues using advanced diagnostic tools (strace, perf, eBPF). 
 
Tooling &amp; Automation &ndash; Design and build proprietary security tooling and automation frameworks from scratch using Python. 
 
 
What you&rsquo;ll need: 
 
<ul><li>10+ years of security focused systems engineering experience.
</li><li>You possess the rare combination of deep Linux expertise AND architectural knowledge of Identity protocols (Kerberos, PKI, OIDC).
</li><li>Linux internals - you understand the OS at a deep level (Kernel, Systemd, Filesystems) and know how to harden it.
</li><li>You don't just use vendor tools; you write code (Python) to solve unique scalability and security challenges.
</li><li>You can effectively communicate complex architectural trade-offs to both software engineers and senior leadership. 
</li></ul> 
 
Why join them? 
 
<ul><li>Solve the hardest problems by working on the complex intersection of legacy scale and modern security.
</li><li>Join a team that values first-principles thinking and academic rigor.
</li><li>Take direct architectural ownership of the systems that secure the firm's core assets.
</li><li>If you&rsquo;re a visionary engineer who loves rabbit holes and building foundational systems, we&rsquo;d love to hear from you!</li></ul></div></div>

Senior Infrastructure Engineer (Linux & Identity)

Legal Counsel

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