Weekday, Inc. Logo

Weekday, Inc.

Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++)

Posted One Month Ago
Remote
Hiring Remotely in United States
90-110 Hourly
Senior level
Remote
Hiring Remotely in United States
90-110 Hourly
Senior level
Build and maintain full-stack production applications and services that integrate frontier LLMs. Design, test, and stress-test systems, diagnose failures, prototype rapidly, and collaborate with engineering and research teams to deliver reliable, deployable software and evaluation tooling.
The summary above was generated by AI

This role is for one of our clients

Compensation: $90-$110 per hour

Join a leading AI research organization at the forefront of generative AI and contribute to the development and evaluation of advanced Large Language Models. We are seeking experienced Senior Full-Stack Software Engineers with strong production expertise across modern software ecosystems, including Python, Java, Rust, C#, C++, and TypeScript.

In this role, you will build, integrate, and stress-test production-quality software that interacts with frontier AI models. You will work closely with engineering and research teams on fast-moving initiatives, rapidly adapt to new codebases and requirements, and contribute working code early in the engagement.

This is a full-time role requiring 40 hours per week.


Requirements2. Key Responsibilities
  • Build full-stack applications: Design, develop, and ship production-quality applications, backend services, APIs, and internal tools using technologies such as Python, Java, Rust, C#, C++, and TypeScript.
  • Integrate AI models: Integrate pre-release and frontier model APIs into functional software systems, including tool interfaces, evaluation frameworks, telemetry, and supporting infrastructure.
  • Develop across the stack: Work across backend services, APIs, databases, frontend applications, cloud infrastructure, and deployment environments to deliver complete solutions.
  • Test and stress-test systems: Build applications and testing frameworks that exercise model capabilities and identify performance, reliability, integration, and usability issues.
  • Identify failure modes: Diagnose technical and model-related failures encountered during development and document findings clearly for engineering and research teams.
  • Prototype rapidly: Translate evolving requirements into working software, delivering high-quality iterations with limited upfront specifications.
  • Collaborate with engineering teams: Partner with engineering managers and fellow developers to maintain strong standards for architecture, code quality, testing, documentation, and maintainability.
3. Core Qualifications
  • 6+ years of professional software engineering experience building and shipping production systems at established technology organizations or comparable environments.
  • Strong hands-on production expertise in at least one of Python, Java, Rust, C#, or C++, along with meaningful professional experience delivering software in a second programming language or ecosystem.
  • Demonstrated full-stack engineering experience covering:
    • Backend services and API development
    • Modern frontend frameworks such as React or equivalent
    • Database and data-model design
    • Cloud infrastructure and deployment
    • Production operations and system reliability
  • Experience owning software systems end to end, from design and implementation through deployment, monitoring, debugging, and ongoing improvement.
  • Ability to quickly understand unfamiliar architectures, repositories, development environments, and technical requirements, then begin delivering production-quality code with minimal ramp-up.
  • Demonstrated career progression and increasing technical ownership throughout your engineering career.
  • Strong understanding of software engineering best practices, including testing, version control, code review, debugging, system design, and technical documentation.
  • Experience working with AI/ML systems, LLM APIs, AI coding tools, or model evaluation workflows is advantageous.
  • Strong written and verbal communication skills, with the ability to clearly explain technical decisions, trade-offs, implementation details, and system behavior.
  • Ability to commit reliably to 40 hours per week during weekdays.
4. What Success Looks Like

The successful candidate will be able to quickly become productive within unfamiliar technical environments, independently solve complex engineering problems, and deliver reliable software that helps teams evaluate and advance frontier AI capabilities.

You should be comfortable operating in a fast-moving environment where requirements evolve quickly, technical ambiguity is common, and high-quality working code is valued over lengthy upfront planning.

5. Equal Opportunity

We are committed to providing equal employment opportunities to all qualified applicants. We do not discriminate based on legally protected characteristics and provide reasonable accommodations to qualified individuals throughout the application and engagement process.

6. Role Details
  • Role: Senior Software Engineer, Full Stack
  • Specializations: Python, Java, Rust, C#, C++, TypeScript
  • Employment Type: Full-Time
  • Work Commitment: 40 hours per week
  • Focus: Full-stack development, AI model integration, software evaluation, testing, debugging, and production engineering

Similar Jobs

43 Minutes Ago
Remote or Hybrid
34K-86K Annually
Mid level
34K-86K Annually
Mid level
Digital Media • Information Technology • News + Entertainment
Manages and grows a portfolio of local advertising clients across Eastern Washington. Responsibilities include prospecting, consultative selling, developing data-informed advertising strategies, presenting media plans, coordinating campaign execution, tracking performance, forecasting revenue, managing pipelines, and strengthening client relationships across linear TV, streaming, and digital channels. Requires effective presentations, objection handling, campaign optimization, accurate reporting, and collaboration with internal teams.
Top Skills: Ai ToolsExcelOutlookPowerPointSalesforce
43 Minutes Ago
Remote or Hybrid
Pennsylvania, USA
80K-133K Annually
Junior
80K-133K Annually
Junior
Digital Media • Information Technology • News + Entertainment
Build and maintain scalable data pipelines, Big Data ETL workflows, data lake architectures, semantic layers, and self-service analytics solutions. Apply data engineering best practices for quality, observability, testing, documentation, and reliability. Support production systems, resolve incidents, participate in reviews, and communicate data models and architectural decisions to technical and business stakeholders.
Top Skills: Apache IcebergSparkAWSDatabricksDelta LakeLookerPysparkPythonSnowflakeSQLTableau
44 Minutes Ago
Remote or Hybrid
Virginia, USA
42K-99K Annually
Mid level
42K-99K Annually
Mid level
Digital Media • Information Technology • News + Entertainment
Sell and service local advertising accounts to meet annual sales goals. Prospect and develop new customers, prepare market research and proposals, manage schedules and contracts, maintain CRM records, support collections and sales forecasts, and collaborate across departments. Must handle variable schedules including nights and weekends.
Top Skills: CRMFreewheel

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account