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software engineer, trading engineering

senior product engineer

Aura

<div><div><p><b>Why we matter:</b></p>
<p>
Aura connects people around the world through a brilliant and simple photo-sharing experience on our customers&rsquo; digital picture frames. We are driven to connect people and deliver joy by liberating the wonderful photos that might otherwise stay trapped on smartphones. Technology and innovation are at the core of every decision we make, but always in the service of bringing families and friends closer together.</p>
<p><b>
How you will add value:</b></p>
<p>
You will join our growing Product Engineering team and work closely with designers and product managers to build new features, improve the experience, and ship API &amp; Web updates to millions of happy customers. Our apps are the primary touch point for our product and are the key to delighting our customers, so we are dedicated to finding someone who takes a strong customer-focused engineering approach. We believe that our customers and their needs should be at the center of every technical decision, and we are relentlessly focused on delivering the best possible product. As a member of a small team, you will be directly responsible for a variety of important projects. The team works values quick iteration and close collaboration with designers, product managers, and other stakeholders across the company.</p>
<p><b>
The stack:</b></p>
<p>
Our API is built on Ruby on Rails. Our iOS mobile app is a hybrid of Swift and Objective-C (SwiftUI and UIKit), while our Android mobile app is a hybrid of Kotlin and Java (Jetpack Compose and XML). We have developed a highly performant photo upload pipeline that runs in the foreground and in the background, so our users' photos can be seamlessly processed. We also have a communication stack built on CoreBluetooth and the Wireless Accessory Configuration (WAC) protocol, to make managing our hardware device simple and intuitive for our users. Our frame runs an Android app that shares code with our mobile client app, providing a connected way for us to build new features and fix bugs. Our web app and the ability to text photos to the frames also provide key connectivity touch points for our customers.</p>
<p><b>
What excites you about this opportunity:</b></p>
<ul>
<li>Driven to help Aura in our mission to build private social networks for families</li>
<li>Ready to own projects from the first line of code, through testing, to production, as well as monitoring analytics after it is released</li>
<li>Develop new features, fix bugs, and make other improvements to our API &amp; Web app</li>
<li>Maintain and improve build systems, testing infrastructure, and QA processes</li>
<li>Work on our iOS app, Android app, and the frame app as needed to support new app features</li>
<li>Collaborate with designers and product managers to deliver beautiful and functional new features</li>
<li>Participate in code reviews on GitHub &ndash; when one of us shines, we all shine</li>
<li>Be responsible for your own weekly tasks through self-organization, communication, and time management</li>
<li>Participate in our sprint rituals (sprint planning, daily stand, retros), as well as other team and company meetings</li>
</ul>
<p><b>We are excited about you because:</b></p>
<ul>
<li>You have at least 5 years of API &amp; Web experience, including at least two years on a service at scale with at least 10,000 monthly active users</li>
<li>You have recent startup experience</li>
<li>You have a deep familiarity with Rails technologies and trends</li>
<li>You have experience building world-class UI on the web</li>
<li>You are comfortable working in a small team and taking ownership over various aspects of the app</li>
<li>You are focused on user experience and using qualitative and quantitative data to measure success: metrics, research, and feedback</li>
<li>You take a detail-oriented approach to user interface, including comfort digging into design files</li>
<li>You work iteratively and think from the customer's perspective</li>
<li>You are self-motivated and can learn new skills quickly</li>
<li>You can clearly communicate your decisions and can present your work to stakeholders, including our founders and other executives</li>
<li>You are located in NYC or San Francisco, and are excited to join us in the office at least 3 days a week</li>
<li>You are comfortable working on a distributed team</li>
</ul>
<p><b>Because you matter:</b></p>
<p>
We believe in creating a happy and supportive work environment, so you can excel at your job and enjoy coming into work each day.</p>
<p>
We know that not everyone fulfills every single job requirement. If you believe you are a strong fit, we invite you to apply for the role.</p>
<h3 class="jobSectionHeader"><b>
Compensation, Benefits, and Perks:</b></h3>
<p>
At Aura, we believe in creating a great work environment so you are set up to succeed in your job and do the best work of your career. We have offices in New York City and San Francisco. We offer the following benefits to all full-time Aura employees based in the U.S.:</p>
<ul>
<li>Competitive compensation, including an employer-sponsored 401(k) &mdash; and we fully match the first 4% of contributions</li>
<li>Comprehensive health plans: we pay up to 100% of the premium for employees and ~50% for families</li>
<li>Generous stock option program, which begins vesting after 1 year at the company</li>
<li>Flexible time off &ndash; you&rsquo;re required to take off at least 10 days in addition to all company holidays</li>
<li>A monthly fitness and wellness allowance of up to $150</li>
<li>Lunch and snacks on us every day in our NYC and SF offices</li>
</ul>
<p><i>(Benefits may differ for part-time or international roles.)</i></p>
<p>
Compensation: $170,000 - $220,000, commensurate with experience</p>
<p><i>
Aura Home Inc. All rights reserved, Aura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.</i></p>
<p><i>
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</i></p>
<p></p>
<p><b><i>California Applicant Privacy Notice:</i></b><i> If you are a California resident, Aura Home, Inc., collects and uses personal information submitted in connection with your application to evaluate your candidacy and administer recruitment, maintain security, and comply with legal obligations. We may disclose this information to our service providers that support recruiting. Our careers site may use cookies or similar technologies that constitute &ldquo;sharing&rdquo; under California law; you may opt out and we honor recognized opt-out preference signals (e.g., Global Privacy Control) where required. For details, see our Privacy Notice: </i><i>LINK</i><i>.</i></p></div></div>

Senior Product Engineer

Celonis

<div><div><p>We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?</p></div><p><b>
Role Description</b></p>
<ul>
<li>As an Applied AI Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world's leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis' Process Intelligence (PI) platform we feed operational context to AI so it understands our customers' business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.</li>
</ul>
<p><b>Key Responsibilities:</b></p>
<ul>
<li>AI Discovery &amp; Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product &amp; domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle</li>
<li>Hackathons &amp; Prototyping: Think out of the box, have a &bdquo;can-do&quot; attitude and don't shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems</li>
<li>Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform</li>
<li>Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.</li>
<li>Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value &amp; adoption thresholds are reached</li>
<li>Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li><b>5+ years of experience leading technical pre-sales</b><b>, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.</b></li>
<li>Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.</li>
<li>Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.</li>
<li>Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.</li>
<li>Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.</li>
<li>Bachelor's Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.</li>
</ul>
<p><b>Nice to have (big plus):</b></p>
<ul>
<li>Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.</li>
<li>Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.</li>
<li>Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)</li>
</ul>
<p>Visa sponsorship is not offered for this role.<br>
Learn More about Value Engineering at Celonis Here</p><div><p><b>
What Celonis Can Offer You:</b></p>
<ul>
<li><b>Pioneer Innovation:</b> Work with the leading, award-winning process mining technology, shaping the future of business.</li>
<li><b>Accelerate Your Growth:</b> Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.</li>
<li><b>Receive Exceptional Benefits:</b> Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and working students explore your benefits here.</li>
<li><b>Prioritize Your Well-being:</b> Access to resources such as gym subsidies, counseling, and well-being programs.</li>
<li><b>Connect and Belong:</b> Find community and support through dedicated inclusion and belonging programs.</li>
<li><b>Make Meaningful Impact:</b> Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.</li>
<li><b>Collaborate Globally:</b> Join a dynamic, international team of talented individuals.</li>
<li><b>Empowered Environment:</b> Contribute your ideas in an open culture with autonomous teams.</li>
</ul>
<p><b>About Us:</b></p>
<p>
Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It's system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.</p>
<p>
Get familiar with the Celonis Process Intelligence Platform by watching this video.</p><br>
<p><b>
Celonis Inclusion Statement:</b></p>
<p>
At Celonis, we believe our people make us who we are and that &quot;The Best Team Wins&quot;. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.</p><br>
<p><b>
Your Privacy:</b></p>
<p>
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices</p>
<p>
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.</p>
<p>
Please be aware of common job offer scams, impersonators and frauds. Learn more here.</p></div></div>

Senior Applied AI Engineer (Value Engineering) - Life Sciences

Motimatic

<div>
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   About Motimatic
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  Motimatic delivers results across the entire customer journey from awareness through to retention, upsell, and churn recovery. Our platform combines behavioral science, paid media, and automated outreach to help organizations acquire, retain, and re-engage the people they serve. We&rsquo;ve worked with more than 300 partners, helping teams drive measurable outcomes without adding workload.
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   Motimatic is building a marketing automation platform that helps organizations deliver the right message to the right audience at the right moment. Our system orchestrates creative development, campaign publishing, and optimization across major social networks and digital channels.
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   We are in the midst of a major platform rebuild designed to support more sophisticated campaign workflows, deeper integrations with advertising platforms, and a goal of developing AI-powered creative generation tools.
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   We are looking for a Senior Software Engineer to help design and build the core systems that power this platform.
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   This role reports directly to the CTO and will play a key role in shaping the architecture of Motimatic&rsquo;s next-generation infrastructure.
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   Motimatic sits at the intersection of adtech, automation, and behavioral science. Our platform coordinates creative generation, publishing, and optimization across multiple social networks and marketing channels.
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   As a senior engineer, you will help design and build systems that:
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    Manage and orchestrate multi-channel digital campaigns
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    Integrate with external APIs from social and advertising platforms
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    Automate content publishing and campaign workflows
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    Process campaign performance data and drive optimization
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    Support AI-driven tools for creative generation and campaign production
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   You&rsquo;ll work on systems that require strong thinking around scalability, reliability, and maintainability, while enabling rapid iteration for a product used by marketers and institutions.
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    System Design and Architecture:
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   Designing scalable, secure, and reliable software solutions, choosing appropriate technologies and architectural patterns based on project requirements.
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    Coding and Implementation:
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   Writing complex, high-quality, and testable code.
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    Technical Leadership:
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   Leading complex projects, setting development timelines, and defining technical standards.
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   Working with cross-functional teams (Product, Design) to translate business requirements into technical specs.
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    Improvement and Best Practices:
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   Driving process improvements, introducing new technologies, and reducing technical debt.
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   Analyzing and resolving complex software bugs and maintaining existing systems.
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    Experience:
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   5+ years engineering and building features for software products (preferrably SaaS).
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    Engineering and Architecture:
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   Ability to recognize and articulate patterns in requirements and implement in extensible and maintainable software components.
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   High "EQ" for effective communication with non-technical stakeholders, and strong analytical thinking.
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   The ability to take a messy, undefined problem and create an incremental plan to solve it.
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    Tech Stack:
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   Experience with Django, Python, React and Postgres preferred.
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   Experience with social media Ad networks is a big plus.
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    AWS &amp; Dev Ops:
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   Some experience with core AWS resources and Dev Ops is beneficial
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  Motimatic is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity, or any other protected characteristics.
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Senior Software Engineer

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
<br><br>
The Role - Senior Software Engineer, Data Platform
<br><br>
We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.
<br><br>
This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.
<br><br>
What You'll Do
<br>Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
<br>Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
<br>Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
<br>Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
<br>Stay up-to-date with emerging technologies and industry trends in data systems and platform development
<br>Qualifications
<br>A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
<br>A product-minded approach—you understand how our software impacts user experience and business outcomes
<br>Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
<br>Excellent collaboration and communication skills, with the ability to influence across teams
<br>Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
<br>Hands-on experience designing and operating modern data lakehouse and warehouse systems (Iceberg, Trino, BigQuery, StarRocks, Citus)
<br>Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
<br>Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
<br>Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms
<br>Preferred Qualifications
<br>Experience with Rust
<br>Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
<br>History of open source contribution, particularly in the data systems ecosystem
<br><br>
The base salary range for this role is $190,000 - $240,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
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We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
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As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
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One team, being brave, driving change
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We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
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Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Software Engineer, Data Platform

Bloomberg

<div><div><div><div><div><div>Senior Data Management Professional - Company Financials, Analytics Engineer
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Data
</div></div><div><div>Ref #
</div><div>10049339
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div>Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock &ndash; from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology&mdash;quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.<br>
</div><div></div><br>
<div>Our Team
</div><div>The Company Financials (CoFi) Data team provides clients with fast, accurate, and trusted financial data that powers analysis across markets and industries. Our datasets support reporting, modeling, and insight generation for internal stakeholders and external clients.<br>
</div><div></div><br>
<div>We combine financial domain expertise, data modeling, analytics engineering, and technical rigor to create high-quality, performant analytical datasets that support a wide range of reporting and decision-making needs.<br>
</div><div></div><br>
<div>What's the role?
</div><div>As a Senior Data Management Professional within the Business Intelligence team, you will play a key role in shaping and evolving the analytical data foundations that power our reporting platform.<br>
</div><div></div><br>
<div>This is a hands-on, data-focused role centered on building, modeling, and optimizing analytical datasets. You will own and evolve Foundational Reporting Datasets (FRDs), ensuring they are accurate, performant, reusable, and aligned with domain realities. You will work closely with domain experts, Product, and Engineering partners to translate complex, real-world financial data into stable analytical schemas that support scalable reporting and reuse.<br>
</div><div></div><br>
<div>Your work will directly influence how data is trusted, modeled, and reused across teams, balancing immediate analytical needs with long-term scalability and governance.<br>
</div><div></div><br>
<div>We'll trust you to:
</div><ul><li>Build, maintain, and evolve Foundational Reporting Datasets (FRDs) that serve as the analytical backbone for reporting and analysis
</li></ul><ul><li>Write and optimize SQL queries to clean, shape, and model noisy, real-world data into performant, reusable datasets
</li></ul><ul><li>Make pragmatic tradeoffs around correctness, scope, performance, and documentation, reasoning about data semantics and grain
</li></ul><ul><li>Continuously improve data quality, clarity, and query efficiency
</li></ul><ul><li>Work closely with domain experts and stakeholders to understand how the data is produced, interpreted, and used
</li></ul><ul><li>Actively build domain intuition over time &mdash; learning why the data behaves the way it does, not just how it&rsquo;s structured
</li></ul><ul><li>Represent the data accurately and confidently in cross-functional discussions
</li></ul><ul><li>Identify analytical work that is worth formalizing into reusable data products
</li></ul><ul><li>Help define clear boundaries between foundational datasets and decision-specific, reusable data products
</li></ul><ul><li>Collaborate with a Product Manager who owns roadmap and prioritization, providing deep input into feasibility and tradeoffs
</li></ul><ul><li>Partner with engineers on performance, tooling, and modeling decisions, while remaining focused on the data layer itself<br>
</li></ul><div></div><br>
<div>You'll need to have:
</div><ul><li>4+ years of experience as a BI analyst, analytics engineer, or similar data-focused role</li></ul>
<ul><li>Deep hands-on experience with, SQL-based data modeling, PySpark and Pandas/Polars, analytical dataset design, performance and efficiency considerations as well as storage/layout optimization for analytical tables
</li></ul><ul><li>Experience designing for schema evolution and the ability to source validation and data profiling
</li></ul><ul><li>Proven ability to turn messy, ambiguous data into trusted analytical assets
</li></ul><ul><li>Comfort working under ambiguity and improving things incrementally
</li></ul><ul><li>Strong collaboration skills and interest in learning a data domain deeply
</li></ul><ul><li>Ability to translate semi-structured producer data into stable analytical schemas (OLTP to OLAP)<br>
</li></ul><div></div><br>
<div>We'd love to see:
</div><ul><li>Experience working with complex or regulated datasets
</li></ul><ul><li>Experience using Bloomberg Terminal and Company Financials products
</li></ul><ul><li>Exposure to data product or platform-style thinking
</li></ul><ul><li>Experience partnering closely with domain experts or SMEs
</li></ul><ul><li>Experience driving adoption of new systems
</li></ul><ul><li>Interest in data governance, ownership, and reuse patterns
</li></ul><ul><li>Familiarity with modern table formats and distributed query engines at scale (e.g., Iceberg/Delta; Trino/Spark or equivalents)
</li></ul><ul><li>Exposure to high-concurrency BI serving patterns (OBT)</li></ul>
</div></div><div></div><div><div><div>Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Data Management Professional - Company Financials, Analytics Engineer

The Cypress Group

<div>
 <p>
  Our client is a growing Fintech software company Headquarted in New York, NY. They have several hundred employees and are in growth mode.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are currently looking for a Senior Data Engineer w/ 6+ years of overall professional experience. Qualified candidates will have hands-on experience with Python (6 years), SQL (6 years), DBT (3 years), AWS (Lambda, Glue), Airflow and Snowflake (3 years). BSCS and good CS fundamentals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will work in a collaborative team environment and will be responsible for building, optimizing and scaling ETL Data Pipelines, DBT models and Datawarehousing. Excellent communication and organizational skills are expected.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role features competitive base salary, equity, 401(k) with company match and many other attractive perks. Please send your resume to nyjobs@cypressg.com for immediate consideration.
 </p>
</div>


Senior Data Engineer

NavitasPartners

<div><h1 class="jobSectionHeader"><b>Senior Python Backend&ndash;Heavy Full Stack AI Engineer (LangGraph)</b></h1>
<p><b>
Location -</b> New York City</p>
<h2 class="jobSectionHeader"><b>
Role Overview</b></h2>
<p>
We are seeking a <b>Senior Python Backend&ndash;Heavy Full Stack AI Engineer</b> with hands-on experience in <b>LangGraph and agentic AI systems</b>.</p>
<p>
This role focuses on building production-grade AI agents and workflows on top of enterprise datasets and internal applications. The ideal candidate is execution-focused and capable of delivering immediate impact.</p>
<p></p>
<h2 class="jobSectionHeader"><b>Core Responsibilities</b></h2>
<ul>
<li><p>Build and deploy AI agents using <b>LangGraph</b></p>
</li>
<li><p>Develop backend-heavy AI systems using <b>Python + FastAPI</b></p>
</li>
<li><p>Implement:</p>
<ul>
<li><p>RAG pipelines</p>
</li>
<li><p>Text-to-SQL systems</p>
</li>
<li><p>Prompt-engineered agent workflows</p>
</li>
<li><p>Business data summarization tools</p>
</li>
</ul></li><li><p>Integrate AI capabilities into enterprise applications</p>
</li>
<li><p>Work with structured datasets (PostgreSQL)</p>
</li>
<li><p>Collaborate with business stakeholders</p>
</li>
<li><p>Contribute to frontend updates when required (TypeScript)</p>
</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Technical Skills</b></h2>
<h3 class="jobSectionHeader"><b>Backend (Primary Focus)</b></h3>
<ul>
<li><p>Strong Python proficiency</p>
</li>
<li><p>FastAPI experience</p>
</li>
<li><p>Strong SQL skills</p>
</li>
<li><p>PostgreSQL experience</p>
</li>
<li><p>API design &amp; production architecture experience</p>
</li>
</ul><h3 class="jobSectionHeader"><b>AI / Agentic Frameworks (Critical)</b></h3>
<ul>
<li><p>Hands-on <b>LangGraph</b> experience</p>
</li>
<li><p>Strong understanding of:</p>
<ul>
<li><p>Agent orchestration</p>
</li>
<li><p>Prompt engineering</p>
</li>
<li><p>RAG architectures</p>
</li>
<li><p>Text-to-SQL pipelines</p>
</li>
</ul></li><li><p>Experience building production-ready AI agents</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Frontend (Secondary)</b></h3>
<ul>
<li><p>Working knowledge of TypeScript</p>
</li>
<li><p>Ability to support UI changes when required</p></li></ul></div>

Senior Python Backend–Heavy Full Stack AI Engineer - 26-02001

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