data analyst

data engineer

software engineer

data scientist

data engineer ii

data infrastructure engineer

Objective Partners

<div>
 Role: Full-Stack Software Engineer &ndash; Blockchain &amp; Data Infrastructure
 
 
 We&rsquo;re working with a cutting-edge tech firm that's seeking a nimble, high-impact engineer to join a small and elite team building systems that sit at the intersection of finance, blockchain, and data visualization. This is a rare chance to touch every layer of the stack&mdash;backend services, frontend applications, data pipelines, and internal tools&mdash;all while leveraging the latest in AI-driven development.
 
 
 
 Your Mission
 
 
 
 <ul>
 <li>
 Architect and implement systems that ingest and process large volumes of on-chain data
 </li>
 <li>
 Create intuitive dashboards and UI components used by a growing base of highly engaged users
 </li>
 <li>
 Design innovative database schemas to support tokenization of next-generation digital assets
 </li>
 <li>
 Build internal tooling and data pipelines leveraged by global institutional investors
 </li>
 <li>
 Work autonomously in a fast-moving, exploratory environment where speed and precision both matter
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 At least 2 years of hands-on experience writing production-grade code
 </li>
 <li>
 Proficiency in a modern backend language such as Python, Go, or similar
 </li>
 <li>
 Solid front-end development skills using TypeScript and React
 </li>
 <li>
 Understanding of relational database design and best practices
 </li>
 <li>
 High attention to detail, a builder&rsquo;s mindset, and a bias for shipping
 </li>
 <li>
 Ability to navigate ambiguity and operate independently with limited oversight
 
 
 </li>
 </ul>
 
 The Interview Loop
 
 
 
 <ul>
 <li>
 Chat with the CTO and co-founder about your past projects and how you think through technical challenges
 </li>
 <li>
 Choose between a live technical session or a take-home assessment
 </li>
 <li>
 Spend a half-day onsite for deeper technical and team-fit interviews
 </li>
 <li>
 Final step includes reference checks and standard background verification
 </li>
 </ul>
</div>

Software Engineer

WW International, Inc. (Weight Watchers)

<div><div><h3 class="jobSectionHeader">WeightWatchers is a global digital health company.</h3>

WeightWatchers is a global digital health company and the world's #1 doctor-recommended, clinically studied behavioral weight health program. For sixty years, we have led the industry by blending science and community to help millions of people build sustainable healthy habits.

As the science of weight health rapidly evolves, so does WeightWatchers. We are redefining the category by developing new clinical pathways for GLP-1 medication access, creating specialized behavioral programs for members on weight-loss medications, and integrating medical care with our proven habit-change framework. By combining these clinical breakthroughs with our digital-first community, we are uniquely positioned to lead the future of weight health care.</div><h4 class="jobSectionHeader">
Who we are</h4>

The Data Team at Weight Watchers is in a key position to shape the future of our business and products. Leveraging tens of billions of data points per year, we produce insights that enable Weight Watchers to better serve our 4 million worldwide members. We are equal partners with our peers in Product, Engineering, Marketing, Finance, and beyond. At Weight Watchers there's an authentic appetite for data-informed decision-making across the company, and our role is to educate and empower stakeholders by leading with transparency and expanding our stakeholders' understanding, often of deeply technical concepts.
<h4 class="jobSectionHeader">
What you will Do</h4>

We are seeking a seasoned Senior / Staff Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions. For candidates at the Staff level, we expect a proven track record of setting technical roadmaps and serving as a multiplier for the engineering and analytics teams.
<h4 class="jobSectionHeader">
Key Responsibilities</h4>
<ul><li>Data Enablement: Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.</li>
<li>Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and modular.</li>
<li>Cross-Functional Collaboration: Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.</li>
<li>Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.</li>
<li>End-to-End Ownership: Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.</li>
<li>Operational Excellence: Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.</li>
<li>Technical Leadership: Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.</li>
</ul><h4 class="jobSectionHeader">Who you are</h4>
<ul><li>Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.</li>
<li>Snowflake Expertise: Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.</li>
<li>Technical Mastery:</li>
<li><ul><li>Advanced Software Engineering (Python): Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.</li>
<li>Data Modeling &amp; SQL Mastery: Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.</li>
<li>Infrastructure &amp; Automation: Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.</li>
<li>Workflow Orchestration: Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.</li>
<li>Observability &amp; Reliability: Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.</li>
</ul></li><li>Operational Maturity: Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.</li>
<li>Education: BS/MS in Computer Science, Information Systems, or a related technical field.</li>
</ul><div>
At WeightWatchers, our mission is to build a worldwide community connected by healthy habits. If that resonates with you, then we would love to talk. WeightWatchers values developing community within our employee population as well. We have a hybrid work environment to allow our employees to find the right work-life balance.

It is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.

By agreeing to participate in our process, you agree that any information we collect is subject to our Privacy Policy. 

<div>
<div>Maryland</div>
Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a polygraph examination or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.</div>
<div></div>
<div>Massachusetts</div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div> 
<div>
<div></div><div>WeightWatchers complies with all applicable Rhode Island Workers' Compensation laws (Chapters 29-38 of the R.I. General Laws). Eligible employees are covered by worker's compensation insurance for work-related injuries or illness.</div>
<div></div>
</div><h3 class="jobSectionHeader">RECRUITMENT SECURITY &amp; FRAUD PREVENTION</h3>

At WeightWatchers, we prioritize the security of our candidates. To ensure you are communicating with a legitimate representative of our team, please keep the following security standards in mind:
<ul>
<li>Verified Email Domain: All official correspondence from our recruiting team will originate from an @ww.com email address.</li>
<li>Live Engagement: Our hiring process requires live interaction. We do not conduct interviews or extend employment offers solely through text message, chat apps, or automated email-only exchanges.</li>
<li>Financial Integrity: WeightWatchers will never ask for any form of payment from a candidate. We will never send you a check with instructions to purchase equipment or &quot;start-up kits&quot; on our behalf.</li>
<li>Secure Data Collection: Sensitive personal information (such as banking or identity tax info) is only requested through our official, secure onboarding portal after a formal offer has been extended, never during the interview phase.</li>
</ul>
Stay Vigilant: If you are contacted by someone claiming to represent WeightWatchers and the process deviates from these standards, please do not share any personal information. You can verify any open position by visiting our official careers page at https://job-boards.greenhouse.io/ww</div></div>

Staff Data Engineer

Henderson Scott US

<div>
 My client is a leading Asset Management Firm in New York. They are looking for a data/software engineer to join their team. You MUST be local to NYC, you MUST be authorized to work in the US without sponsorship and you MUST be okay going to the office.
 
 
 
 
 You MUST have experience with Python and either SQL or Snowflake.
 
 
 
 
 You ideally have a degree in engineering. You also need to come from financial services!
 
 
 
 **********
 
 THEY WILL NOT HIRE YOU IF YOU HAVE MORE THEN 6 YEARS OF EXPERIENCE, PLEASE DO NOT APPLY IF YOU HAVE MORE*****************
 
 
 
 
 Company Overview
 
 
 
 A leading investment management platform focused on providing flexible capital solutions to middle-market firms is seeking to expand its technology team. The firm partners closely with private equity sponsors and portfolio companies, delivering financing solutions across multiple asset classes. With a strong track record and significant capital under management, the organization operates across several major U.S. markets and emphasizes innovation, collaboration, and disciplined execution.
 
 
 
 Role Overview
 
 
 
 This role sits within the Investment Technology team and focuses on building and enhancing core data and application infrastructure that supports front-office and business operations. You'll work across data engineering, reporting, and internal tool development-helping modernize systems and improve how investment and operational teams access and leverage data.
 
 
 The position offers strong exposure to business stakeholders and the opportunity to work on high-impact initiatives across data pipelines, analytics, and workflow automation.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Support and optimize cloud-based data warehouse environments to ensure scalable and efficient data access
 </li>
 <li>
 Build and maintain data pipelines that integrate multiple internal and external systems
 </li>
 <li>
 Develop internal tools, automation workflows, and lightweight applications to improve operational efficiency
 </li>
 <li>
 Create and maintain dashboards and reporting solutions used by senior stakeholders for decision-making
 </li>
 <li>
 Partner cross-functionally with investment, operations, finance, and analytics teams on data-driven initiatives
 </li>
 <li>
 Help define and implement best practices across data management, reporting, and system architecture
 </li>
 <li>
 Contribute to ongoing system integrations and enhancements across the broader technology stack
 </li>
 </ul>
 
 
</div>

Data Engineer

LS Power Development, LLC

<div>Overview:

About us:
Founded in 1990, LS Power is a premier development, investment, and operating company focused on the North American power and energy infrastructure sector, with leading platforms across generation, transmission and energy expansion solutions. Since inception, LS Power has developed or acquired 50,000 MW of power generation, including utility-scale solar, wind, hydro, battery energy storage, and natural gas-fired facilities. Through its transmission business, LS Power Grid, the company built and operates 780+ miles of high-voltage transmission and 7 transmission utilities and has another 375+ miles currently in construction or development. LS Power actively invests in and scales businesses that are meeting the growing needs of the energy expansion, including electric vehicle charging, demand response, microgrids, renewable fuels and waste-to-energy platforms. Over the years, LS Power has raised more than $76 billion in debt and equity capital to support North American infrastructure. 
Our Purpose, Mission, &amp; Values:
Our Purpose is to solve complex energy problems that improve the world
Our Mission is to make lives better by developing a cleaner and more reliable energy ecosystem
Our Values are the willingness to participate in and help strengthen our culture of integrity, Innovation, Teamwork, and Taking Ownership 
Our People create value and are our Most Valuable asset. We take our values of Integrity, Innovation, Teamwork and Taking Ownership seriously and ask candidates to think about how they can help us further enhance our culture with their specific skillsets, capabilities and experiences. 
Benefits
We provide our team the opportunity to share their unique perspectives, solve new challenges, and continue in their career growth. We are committed to supporting employees&rsquo; happiness, healthiness, and overall well-being by providing comprehensive benefits that include 100% employer paid premium healthcare, paid parental leave and more. 
Compensation
The salary for this role is $140,000-$160,000. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in New York. This salary range may also be modified in the future. 
About the Role:
This position is responsible for the design, maintenance, and reliability of the data infrastructure that supports our energy marketing and trading operation. You will the responsibility for the data layer behind a growing portfolio of internal business applications, ensuring that analysts, traders, and developers across the organization have timely access to clean, well-organized data. 
This is a hands-on, technical role embedded in a small, high-output software team. The ideal candidate is someone who thinks of data engineering not as an end in itself but as a means of solving real business problems. We value simplicity, clarity, and maintainability over architectural complexity.
Responsibilities:

What you will do:
<ul><li>Manage and extend a Microsoft Fabric environment including OLTP SQL Databases, lakehouses, warehouses, data pipelines, notebooks, and dataflows, ensuring reliable scheduled refreshes and data quality across workspaces.</li><li>
Support data flows that underpin internal trading, settlements, and reporting applications.</li><li>
Build and maintain data ingestion pipelines from a wide variety of sources: SFTP feeds, REST APIs, email attachments, flat files, and third-party energy market data vendors.</li><li>
Own the operational reliability of data infrastructure: monitor pipeline health, troubleshoot failures, manage credentials and permissions, and handle workspace administration including item ownership transfers.</li><li>
Develop applications that provide direct transparency into the underlying data that feeds complex analysis.</li><li>
Manage ML training and inference pipelines that influence trading and plant management decisions.</li><li>
Use master data management architectures alongside interactive applications to retain and reinforce critical business knowledge.</li></ul>
Qualifications:

We want you on our team because you&hellip;<ul><li>
Have 5+ years of hands-on experience in data engineering, database administration, or a related data-intensive role.</li><li>
Are proficient in SQL and have meaningful experience managing relational databases in production, whether SQL Server, PostgreSQL, or similar.</li><li>
Have worked with a modern cloud data platform such as Microsoft Fabric, Databricks, Snowflake, or Azure Synapse, and understand the patterns of lakehouse and warehouse architectures.</li><li>
Write Python comfortably for data pipeline development, automation, and scripting, and understand how to keep scripts clean, modular, and easy for others to maintain.</li><li>
Have built data ingestion from real-world messy sources: APIs with pagination and rate limits, SFTP servers, email inboxes, inconsistently formatted files.</li><li>
Believe that the best data infrastructure is the kind nobody has to think about because it just works, and you take pride in building systems that are boring in the best sense of the word.</li><li>
Are a strong communicator who can translate between technical implementation and business requirements without losing fidelity in either direction.</li><li>
Have a heavy bias to get to the end state through planning and action. Actions like performing the migration/refactor and dropping dead code and dead datasets.</li></ul>
 Ideally, you have...<ul><li>
Experience in the energy sector, particularly with energy marketing and trading data such as LMP pricing, SCADA, ISO market feeds, or commodity futures and derivatives.</li><li>
Familiarity with energy market data vendors such as Bloomberg, ICE, Platts, NRG Stream, Databento, or similar.</li><li>
Background in finance, gas, or commodities even if not specifically in power markets.</li><li>
A demonstrated habit of building tools, automations, or personal projects at high volume &mdash; we value people who are prolific builders and problem solvers, not just people who have worked on one large system.</li><li>
Active use of AI-assisted development tools and a thoughtful perspective on how to integrate them into a professional workflow responsibly.</li><li>
Personal experience hosting, fine-tuning, or managing language models, or involvement in a technically ambitious personal project involving AI infrastructure.</li><li>
An appreciation for software principles like KISS, DRY, and keeping complexity to a minimum &mdash; you would rather delete code than add it.</li></ul></div>

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>3 years of experience coding in one or more programming languages.</li>
<li>3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.</li>
<li>3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>3 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.</li>
<li>3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.</li>
<li>3 years of experience developing project plans and delivering projects on time within budget and scope.</li>
<li>3 years of enterprise experience leveraging both SQL and another programming language (Java).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
gTech&rsquo;s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech&rsquo;s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

Global Business and Operations Engineering (GBO Engineering) is an embedded product and engineering team within Google&rsquo;s ad sales organization. We build consumer-grade internal tooling for sales, marketing, and service teams. Within GBO Engineering the Data Hub team is the center of excellence for Data Engineering across the wider business organization. The Data Hub team owns mission critical infrastructure powering production systems, and owns novel data deep dives and pipelines used in strategic decision-making at the highest levels of Google's leadership.<div>
In this role, you will play a key part in building the foundational data infrastructure that powers Google's advertising products. You will be responsible for designing, developing, and maintaining a robust and scalable data warehouse solution that serves the needs of our internal teams and ultimately drives value for our customers.</div>
The US base salary range for this full-time position is $130,000-$187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using SQL, Java, Python, and other technologies to ingest and transform data from various sources.</li>
<li>Develop and manage the data warehouse storage layers, leveraging Google BigQuery (equivalent internal technologies) and other technologies.</li>
<li>Create and maintain data marts and presentation layers to support reporting and analysis needs.</li>
<li>Collaborate with product owners, business stakeholders, and data analysts to understand data requirements and translate them into technical solutions.</li>
<li>Contribute to the development and implementation of data governance policies and procedures.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Data Engineer, Global Business and Operations

Millennium Management

<div>Data Engineer - Trading Technology Infrastructure
The Trading Technology Infrastructure team at Millennium is responsible for providing shared services to internal trading systems. We are seeking a Data Engineer to join our global development team in the buildout of our strategic real-time data platform. This platform is critical for ingesting, storing, enriching, and distributing high-quality reference data from multiple sources in real time to support the development of a global order management system and other core trading services. 
This role has a strong focus on reference data engineering and the application of AI-driven techniques to improve data quality, automation, monitoring, and operational efficiency. 
 
Key Responsibilities<ul><li>
Design, develop, and maintain scalable real-time and batch data pipelines for reference data ingestion, processing, and distribution.</li><li>
Build and enhance shared data services that support mastering, validation, enrichment, and delivery of critical trading reference data.</li><li>
Work closely with engineering teams and stakeholders to ensure seamless platform integration across trading systems.</li><li>
Deliver high-quality data solutions with quick turnaround times while adhering to best practices, governance standards, and production controls.</li><li>
Apply AI-enabled approaches to improve data validation, anomaly detection, metadata management, and support automation.</li><li>
Take ownership of tasks and proactively identify opportunities to improve the overall platform, development lifecycle, and infrastructure.</li></ul> 
Required Skills / Experience<ul><li>
Trading Domain Knowledge: Strong understanding of reference data management within the trading domain, especially user, instrument, and destination master data.</li><li>
Data Engineering Experience: 7+ years of professional experience building data management, integration, or data platform solutions in production environments.</li><li>
Programming: Strong hands-on development skills in Python and/or Java.</li><li>
Database Knowledge: Proficient in database concepts across SQL and NoSQL technologies, with a focus on data integrity, scalability, and performance.</li><li>
Data Structures &amp; Algorithms: Strong understanding of data structures and algorithms relevant to distributed data processing and reference data systems.</li><li>
Communication Skills: Strong communication skills for effective interaction with team members and stakeholders across technology teams.</li><li>
Ownership Mindset: Self-starter and critical thinker who takes ownership of projects and proactively suggests infrastructure and platform improvements.</li><li>
Continuous Delivery: Experience building and supporting systems using continuous integration and continuous deployment practices.</li></ul> 
Preferred Skills / Experience<ul><li>
Experience with real-time data platforms and event-driven architectures.</li><li>
Familiarity with AI/ML techniques for data quality monitoring, intelligent matching, anomaly detection, or workflow automation.</li><li>
Experience with PostgreSQL or other relational databases for data storage and retrieval.</li><li>
Familiarity with GraphQL for efficient data access and integration.</li><li>
Experience with AWS for cloud-based data solutions.</li><li>
Background in trading infrastructure, order management systems, or front-office data platforms.</li></ul>
Additional Information 
This role involves the full data lifecycle, from requirements and design through implementation, testing, and production release. The platform will support new business initiatives and help decommission legacy infrastructure. Strong collaboration skills are essential, as the role requires direct interaction with other technology teams across the Millennium organization. If you are a seasoned Data Engineer with experience in trading infrastructure, reference data, and modern AI-enabled data solutions, we encourage you to apply.
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div>

Data Engineer - Trading Technology Infrastructure

C2R Ventures

<div>
 
 Elite multi-strategy hedge fund manager that invests globally in a wide array of assets and strategies, is seeking an elite Agentic AI Research Engineer to play a key role in the ongoing development and enhancement of their investment process.
 
 
 
 
 
 Do not need financial experience to apply, but of course it is welcome. Candidates from AI research arms/divisions of notable bigtech companies and/or AI start-ups with elite VC backing are very welcome to apply.
 
 
 
 
 
 This Engineer will be embedded in investment teams to augment their investment process through designing and building multi-agent frameworks by developing deep understanding of each business and leveraging cutting-edge methods.
 
 
 
 
 
 This is a Full Stack role that will encompass the building of foundational infrastructure and developing robust data pipelines through agentic design.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Work with investment teams to find solutions to their most vexing challenges, applying agents to assist in solving problems
 </li>
 <li>
 Design, build, and integrate a multi-agent AI framework that can orchestrate deep research in and across vastly different subject matter and domain expertise
 </li>
 <li>
 Implement rigorous quantitative benchmarks for large scale agentic tasks
 </li>
 <li>
 Assist with automated evaluation of AI models and prompts across a wide variety of project and investment teams
 </li>
 <li>
 Help create and optimize data mixes for model training that maximize agent performance or ease of use on agentic tasks
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 0&gt;1 builder who is comfortable with uncertainty, operates with high agency, and excels at rapid iteration and shipping
 </li>
 <li>
 Experience developing complex agentic systems using LLMs with an emphasis on agentic harness design (e.g., communication architectures for agents)
 </li>
 <li>
 Successfully demonstrated the ability of taking a product from conception to completion
 </li>
 <li>
 Understanding of LLM-as-judge, reward hacking, specification gaming robustness problems
 </li>
 <li>
 Have strong Python skills and can build robust infrastructure across the stack
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

Explore 1438+ Data infrastructure engineer in New York this May. Find roles across top companies and apply now to boost your career.

1438 data infrastructure engineer jobs In New York

Software Engineer

Staff Data Engineer

Data Engineer

Data Engineer

Data Engineer, Global Business and Operations

Data Engineer - Trading Technology Infrastructure

Artificial Intelligence Engineer