Senior Data Engineer
About Teramind
Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization. With our comprehensive suite of solutions, organizations gain unprecedented visibility into user activities while enhancing security, optimizing productivity, and ensuring compliance. Trusted by Fortune 500 companies and businesses of all sizes across industries, our innovative platform helps organizations protect sensitive data, maximize workforce performance, and create safer, more efficient digital workplaces. Through real-time monitoring and advanced analytics, we enable businesses to safeguard their most sensitive information while optimizing employee productivity in both in-office and remote work environments.
Our Core Values
At Teramind, our values drive everything we do. We embrace innovation as a fundamental principle, constantly pushing boundaries to improve our products, streamline processes, and enhance customer experiences. We foster resourcefulness by empowering our team members with the autonomy and confidence to solve problems independently while providing collaborative support when needed. As a globally inclusive organization, we celebrate diversity and create an adaptable work culture where respect and collaboration thrive across our international teams. Above all, we are committed to excellence, delivering the highest quality in every aspect of our work and consistently exceeding expectations in service to our clients and each other.
About the Role
As our
AI Data Engineering Lead, you will be a pivotal figure in shaping and executing our AI/ML strategy. You will spearhead the design, development, and deployment of cutting-edge AI applications, with a strong focus on building data infrastructure to power Large Language Models (LLMs), agentic frameworks, and multi-agent systems. This role demands a blend of hands-on technical expertise, strategic thinking, and leadership to build and scale our AI capabilities on the Google Cloud Platform (GCP). You'll not only architect robust systems but also champion data engineering excellence and build and lead a team of talented AI engineers.What You’ll Do
• Architect & Build: Design scalable, AI-first data infrastructure on GCP (Vertex AI, BigQuery, Dataflow, Pub/Sub) to power LLMs and agentic systems.
• Pipeline Mastery: Develop high-performance, real-time data pipelines to process user behavior and drive ML systems.
• End-to-End AI Systems: Lead the design, development, and deployment of AI/LLM applications using LangChain, HuggingFace, AutoGen, and more.
• Operationalize ML: Build MLOps pipelines with robust CI/CD, monitoring, testing, and model evaluation — especially for LLM outputs.
• Drive Evaluation: Create frameworks to assess safety, performance, and quality of generative AI applications.
• Code & Lead: Write production-grade Python, contribute to core infrastructure, and raise the bar for technical excellence.
• Collaborate Strategically: Work with Product, AIML leadership, and cross-functional partners to align tech execution with company vision.
• Help us Grow the Team: Mentor and grow a team of AI engineers as we scale — help us build not just software, but a world-class engineering culture.
Requirements
• 5+ years of experience in Software, Data, and/or ML engineering
• Expert in Python, with strong knowledge of data engineering tools,
GCP (Vertex AI, Dataflow, BigQuery), and AI pipelines• Hands-on with CI/CD, model monitoring, and observability in ML systems.
• Experience launching production-grade GenAI systems, especially involving LLMs, agentic workflows, or multi-agent coordination.
• Familiarity with
AI/LLM frameworks (Langchain, LlamaIndex, HuggingFace)and modern prompt engineering techniques.Bonus Points For
• Master's or PhD in CS, AI, ML, or related fields
• Experience with AWS, Azure, or other cloud AI stacks
• Experience with Graph databases (e.g., Neo4j) and proficiency in SQL and NoSQL databases
• Background in big data (Spark, Flink) or open-source AI contributions
• Understanding of responsible AI, ethics, and data governance
Additional Information
Benefits
This is a remote job. Work from anywhere! We’ve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.
Additionally:
• Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated.
• Competitive salary
• Career growth opportunities
• Flexible paid time off
• Laptop reimbursement
• Ongoing training and development opportunities
About our recruitment process
We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story. You can expect up to 3 interviews. In some scenarios, we’re able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews.
All roles require reference and background checks
Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.
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