As we continue to grow, we’re seeking a Senior Software Engineer, Agentic Engineering to architect and ship autonomous systems that transform the software development lifecycle at Noom.

We are building a future where every step of product development, from ideation and prototyping to testing, deployment, and monitoring, is driven by intelligent, autonomous agents. This is not a theoretical exercise. This is a hands-on engineering role where you will design, build, and productionize agent-powered workflows that reshape how software gets made.

As a senior engineer embedded within Engineering and reporting to the CTO, you will operate at the intersection of LLM orchestration, developer tooling, and production infrastructure, turning manual, human-gated processes into reliable, observable, and autonomous pipelines.

You Will

• Architect and implement agent-driven systems that translate product requirements into executable specifications, generate code scaffolds, and produce working prototypes with minimal human intervention
• Design and build multi-agent coordination systems and custom orchestration layers to support complex development workflows
• Develop robust agent observability infrastructure, including telemetry, logging, evaluation pipelines, and failure-mode handling
• Productionize LLM-powered workflows using providers such as Anthropic Claude, OpenAI, and open-source models
• Build and integrate with CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins) and infrastructure-as-code tooling (Terraform, Pulumi)
• Implement evaluation frameworks for LLM outputs, including automated evaluations, regression detection, and human-in-the-loop review
• Collaborate cross-functionally with product engineering, platform/infrastructure, and data science teams in small, high-autonomy squads
• Continuously evaluate emerging models, agent frameworks, and AI-native developer tools to evolve Noom’s agentic ecosystem

About You

You have shipped agentic systems to production, not just demos or prototypes, and understand the gap between a working notebook and a reliable, observable production agent. You think in systems, not scripts, designing for failure modes, observability, human escalation paths, and graceful degradation. You’re opinionated about a future software development lifecycle powered by agentic systems and are willing to lean into that future. You stay current with the rapidly evolving AI and agent ecosystem and can quickly evaluate new models, frameworks, and emerging patterns.

If you’re interested in shaping the future of health by building autonomous systems that redefine how software is created, this role may be for you!

You Have

• 5+ years of software engineering experience with hands-on development in languages such as Java, Python, Kotlin, and TypeScript
• Hands-on experience building with LLM APIs (OpenAI, Anthropic, open-source models), including prompt engineering, tool use, function calling, and structured outputs
• Experience with orchestration frameworks such as LangGraph, CrewAI, Autogen, or custom multi-agent systems (prototype or production)
• Familiarity with modern agentic development tools such as Claude Code, Cursor, and Codex
• Production experience with AWS, Kubernetes, CI/CD systems (GitHub Actions, ArgoCD), and infrastructure-as-code tools like Terraform
• Experience implementing evaluation frameworks for LLM outputs, including automated evaluations, regression detection, and human-in-the-loop review
  
  

What Makes This Job Amazing

• You’ll help define and build the future of agentic software development at scale
• Direct visibility and collaboration with executive leadership
• High autonomy, rapid iteration cycles, and the ability to ship transformative systems quickly
• The opportunity to pioneer production-grade, observable AI systems in a mission-driven health platform
  
  

What You'll Earn and Enjoy:

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value, not just the role you fill.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier, premium plans for you and your family, including medical, dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $165,000 - $195,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

This role is based in our Princeton office with a hybrid schedule (2 days per week on-site).

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

About the Role

As a Platform Engineer II, you will independently design and build small-to-medium AWS platform features. You will contribute to CI/CD pipelines, Kubernetes operations, and observability with growing autonomy.

Key Responsibilities

• Feature Ownership: Own platform features end-to-end, from design to production.
• Infrastructure & CI/CD: Build multi-environment CI/CD pipelines and deploy workloads via Terraform and Helm.
• Kubernetes Operations: Operate and troubleshoot AWS EKS clusters, including resource management and autoscaling.
• Security & Compliance: Manage AWS IAM roles and implement secure-by-default configurations aligned with NIST/CIS standards.
• Observability: Design SLOs and dashboards using CloudWatch or Datadog to improve reliability.
• AI Integration: Use AI tools (e.g., GitHub Copilot, Claude) to accelerate IaC development and scripting.

What We’re Looking For

• Experience: 2–4 years of production experience in cloud infrastructure or CI/CD.
• Education: BS in Computer Science or a related technical field.
• Skills: Proficiency in Python or Go; experience with AWS, Kubernetes, and Terraform.
• Certification: AWS Solutions Architect or SysOps Administrator Associate (or willingness to achieve within 12 months).

What You'll Learn

• Multi-region AWS architecture and advanced networking.
• FedRAMP Moderate compliance automation.
• Advanced Kubernetes operations and FinOps cost modeling.

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing, and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached, and SQS)
• Good networking skills with VPC, Security Groups and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

#LI-REMOTE #LI-IK1

This position will perform multiple job functions and is responsible for assisting with the design, deployment, monitoring, maintenance, operation, and repair of production equipment systems for our World Feed Broadcast and Engineering team.

Responsibilities

• Have a full understanding of technical facilities and complex broadcast production equipment systems on-prem and in the cloud, as well as computer and intercom skills in a Broadcast Engineering environment.
• Ability to rapidly diagnose problems and provide alternative solutions to maintain production deadlines.
• Ability to comprehend complex concepts and workflows, including remote and cloud productions.
• Will work with the NFL World Feed Operations team for the proper transmission and receipt of feeds for live remote cloud productions
• Participate and contribute to the training and ongoing education of production personnel on operating equipment and systems.
• The employee must be able to work evening and weekend shifts during the NFL season.
• The employee may be required to work a flexible rotating 24/7 shift.

Required Qualifications

• 5 or more years of experience in maintaining professional Video and Audio Post Production and Broadcast systems. Hands-on management and maintenance of Audio, Video, Grading, Graphics, Transcode, Storage, Client and VM systems, network infrastructure, and broadcast systems. Experience in professional Video and Audio system development and deployment utilizing current tools.
• Team leadership and management experience.
• Experience in a broadcast operations environment including 2110, HD/SD, ASI, JPEG, SRT, and MPLS signals and the ability to troubleshoot those signal paths
• Assist in development efforts around new and emerging Post Production, Media management, and Broadcast processes.
• Assist engineers and operators in designing, developing, and deploying new systems and processes.
• Assist in road map planning across multiple media systems and environments.
• Provide technical expertise and leadership across multiple systems and technologies.
• Provide hands-on support for a wide array of Post and Broadcast systems.

Skills -- Computer/Storage/Networking/Applications 

• Knowledge of data networking
• Must have proficient computer skills in Windows, Mac, and Linux operating systems.
• Knowledge of current video and audio editing systems
• Knowledge of graphics (Adobe Creative Suite)
• Knowledge of BlackMagic DaVinci Resolve

At least 5 years of experience utilizing the aforementioned skill set to support a broadcast television production, post-production facility, or remote engineering situations. Must be able to work successfully in a network-based broadcast environment.

Preferred Qualifications (Not all are required)

• BA/BS
• 5+ years of experience in Video, Audio, and Post Engineering
• Very strong computer or networking skills.
• Ansible Orchestration and Kubernetes Deployments
• Knowledge of SMPTE 2110 systems

Skills -- General 

• Strong communication skills
• Ability to express complex concepts verbally and in written documentation.
• Ability to work alone or as part of a team.
• Ability to maintain a high level of professionalism and motivation.
• Ability to maintain knowledge of technology and industry trends.

Physical Demands

• Must be able to lift heavy equipment for installation and maintenance service as required.

Travel

• Does not require travel.

Terms / Expected Hours of Work

• NFL employees are required to work 40 hours per week. The role may require overtime (time worked more than 40 hours) and/or weekends.
• The NFL is committed to building a diverse, equitable, and inclusive work environment that reflects our diverse fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, or local law.

COMPANY OVERVIEW

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

About the Role:

We are looking for a Senior Software Engineer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions. You will lead system architecture, cloud deployments, and modern containerized environments, while collaborating with multidisciplinary teams across regions.

What This Involves: 

• Design, develop, and maintain high-quality software solutions using Python.
• Contribute to the design and evolution of scalable and maintainable software architectures.
• Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).
• Build and manage containerized applications using Docker and Kubernetes.
• Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers.
• Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions.
• Participate in technical discussions, architectural reviews, and continuous improvement initiatives.

Skills, Qualifications and Experience: 

• Strong Python knowledge with experience building production-grade software.
• Experience designing software architectures for scalable applications.
• Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider).
• Practical knowledge of container technologies and architectures, including Docker and Kubernetes.
• Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs/protocols, and supporting infrastructure.
• Experience in systems design, particularly in cloud-native or distributed environments.
• Experience creating project implementation plans, timelines, and effort estimations.
• Experience leading or mentoring engineering teams and driving projects to completion.

Why You Will Love It Here: 

• Work on real-world AI and advanced analytics solutions with measurable business impact.
• Collaborate with a global team of engineers and data scientists.
• Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
• A collaborative culture that values real outcomes
• High ownership, zero micromanagement
• Rapid learning opportunities and diverse challenges
• Flexible work hours, remote-friendly setup
• Flat organisational hierarchy with high visibility and accessibility to our leaders

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Build complex multi-agent AI agents that are highly scalable
• Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
• Engineer and refine prompts to enhance AI performance and output quality
• Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
• Ensure AI applications align with ethical standards, data privacy, and real-world scalability
• Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face

Requirements:

• Work with current state of the art LLMs and embedding models
• Experience building agentic AI systems
• Experience with debugging traces of LLM calls to identify errors/optimizations
• Experience with building Retrieval-Augmented Generation (RAG) systems
• Engineer and refine prompts to enhance AI performance and output quality
• Knowledge of extracting structured outputs from LLMs
• Experience using LLM APIs, embedding models, and RAG-based AI architectures
• Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
• Knowledge of LangChain, Pydantic, and scalable AI workflows
• Proficiency in prompt engineering and optimization techniques
• Some UI/UX experience is a plus

Qualifications:

• Minimum 5 years of experience in AI/ML development and data engineering
• Proficiency in programming languages Python
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
• Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
• Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
• Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)

Preferred Qualifications:

• Experience in NLP, Generative AI, or deep learning models
• Proven track record of deploying AI solutions at scale
• Research background in generative AI models
• Ability to integrate code into real world application
• Understanding AI ethics, bias mitigation, and responsible AI principles
• Prior experience in the financial or banking sector is a plus

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

About Our Team

Cross River’s AI Transformation team is a newly formed group of problem solvers passionate about bridging the gap between cutting-edge AI capabilities and real-world business needs. Based in-office at our Fort Lee, New Jersey headquarters, we work face-to-face with stakeholders across the organization to identify opportunities, adopt and adapt AI tools, and build sustainable solutions. Our mission is to bring AI-powered solutions to life, ensure they are maintainable, auditable, and resilient, and to continuously leverage advances in AI technologies for the benefit of the business.

What We're Looking For

We are looking for a Software Engineer II to focus on solutions for our  AI Transformation team. You will work in-office at least three days per week at our Fort Lee, New Jersey headquarters. With guidance from your Engineering Manager and a Senior Software Engineer, you will collaborate closely with an AI strategy team and collaborate face-to-face with business stakeholders to deeply understand their problems, cut through surface-level descriptions to identify root challenges, and write the code that solves real problems. You will work closely with other software and QA engineers in and outside of your team. We are looking for someone who has worked within ambiguity, and seeks out and applies strong engineering disciplines to deliver sustainable, AI-centered or augmented outcomes.

Responsibilities:

• Design, develop, and deliver scalable software modules and components
• Build backend systems using a mix of technologies. Languages may include C# (.NET 10), Python, and JavaScript/TypeScript. Databases may include PostgreSQL and SQL Server. Infrastructure includes AWS, Docker, and Kubernetes
• Implement, test, and iterate on software solutions that address both short-term and long-term considerations with a maintainable, sustainable mindset

Qualifications:

• 4+ years of experience developing enterprise systems in modern, current object-oriented languages, with at least 2+ years of C#
• 2+ years of experience with SQL, preferably PostgreSQL or SQL Server
• Experience working with AI assistive and agentic code generation (e.g. Copilot, Claude Code, Cursor)
• Database persistence frameworks (e.g. nHibernate, Entity Framework)
• Strong communication skills
• Experience or understanding of Domain Driven Design
• Cloud Architecture - preferably AWS
• Docker / Containers
• Financial industry / accounting experience or understanding is helpful, but not required
• Experience designing and developing distributed systems and event driven architecture is preferred. Ideally with understanding or exposure to:  
• MassTransit or NServiceBus
• RabbitMQ
• Idempotency

#LI-KR1 #LI-Hybrid

Salary Range: $130,000.00 - $170,000.00