Logo for Clarity (formerly Anecdote)

Senior Data Engineer

Role overview

Qualifications

  • Strong Python skills with experience in building and monitoring production services or APIs
  • Experience with SQL, ETL, data modeling, and the lifecycle of building ML solutions
  • Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure
  • Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing

Responsibilities

  • Extend, scale, monitor, and manage integrations
  • Implement new connections and own integrations
  • Optimize AI pipeline and support its complex infrastructure
  • Host and monitor NLP models and LLM for real-time and batch inference

About the company

Clarity (formerly Anecdote) logo

Clarity (formerly Anecdote)

Company details

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Role Overview:

We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes.

Key Responsibilities and Skills:

  • Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive.

  • Own the Integrations: Implement new connections and be the master and owner of these integrations.

  • Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure.

  • ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries

  • Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference.

  • Develop Monitoring Systems: Create and support robust models for monitoring.

  • Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.

Qualifications:

  • Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential.

  • Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions

  • Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists.

  • Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus.

  • Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing.

  • Bonus Points: Experience with Airbyte is a significant advantage.

Perks and Benefits:

  • Fully Remote: Freedom to work from anywhere in the world with flexible core working hours.

  • In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding.

  • Generous Vacation: Benefit from our comprehensive vacation policy.

  • Growth Opportunities: Access continuous professional development and growth support.

  • Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture.

  • Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.

About Clarity

Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences.

We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.