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Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our company engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at our company, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our companys internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our companys broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team at our company to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents at our company will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

As a Senior AI Infrastructure Engineer at our company, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power our companys AI innovation.
Youll Own:
Developing and evolving our companys machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling.
Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation.
Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency.
Youll Solve:
Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles.
Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably.
Youll Impact:
Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently.
Improve the scalability, reliability, and consistency of machine learning development across our companys AI organization.

Were looking for an experienced and proactive Project Manager to join our growing team. In this role, you will take ownership of project setup, execution, and ongoing system maintenance, ensuring our clients receive seamless onboarding, reliable performance, and long-term value. You will lead cross-functional teams, balance multiple priorities, and drive project success through strong organization, communication, and problem-solving.

Responsibilities
Project Setup, Onboarding & Transition: Lead the project from kickoff through full implementation at the clients site. Ensure smooth transition, on-time delivery, and a high-quality onboarding experience. Coordinate with internal teams to guarantee readiness of resources, data, and tools.
Ongoing Stakeholder Communication: Act as the projects operational owner, managing setup of the system, client requests, system issues, and optimizations. Monitor system stability and performance to ensure long-term reliability and value. Drive improvements in workflows, resolving recurring bottlenecks and risks.
Cross-Functional & Stakeholder Management: Serve as the main point of contact for internal and external stakeholders (Customer Success, Support, Operations). Maintain transparency, responsiveness, and alignment across all project phases.
Issue & Risk Management: Proactively identify potential risks in the process, bottlenecks, recurring issues, or client dissatisfaction. Escalate appropriately and work cross-functionally to identify root causes.
KPI Tracking & Performance Monitoring: Define, track, and report on key performance indicators (KPIs) to measure project success and team performance. Use insights to drive accountability and continuous improvement.
Continuous Improvement: Conduct monthly result analyses, draw insights from experiences, and strive to achieve the Delivery department's goals. Analyze and optimize delivery workflows to improve efficiency and scalability.

As a Project Configuration Specialist, you will be responsible for:
Configuration of our product for clients' needs using our configuration system
Setup our Digital Twin for new projects into our system.
Solve technical configuration issues.
Work together with Project Managers and Customer Success to support the project and clients needs.
Ongoing project maintenance through the project life cycle.
Be part of creating the Teams tools and workflows internally and with the product/development team.

As a Process Operations Specialist, you will be part of the team responsible for ensuring that Buildots product and workflows are continuously aligned with customer needs and project requirements.

In this role, you will lead the improvement of internal work processes, drive problem-solving initiatives, and create validation and quality processes. You will also play a key role in coordinating work across multiple teams, identifying cross-functional challenges, and implementing solutions that enhance product quality, operational efficiency, and customer satisfaction.

Responsibilities:
Perform hands-on data analysis (Excel, dashboards) to identify patterns, anomalies, and actionable insights.
Proactively identify quality gaps through ongoing quality reviews of the system, monitoring issues, and initiating improvement efforts across workflows and analysis methods.
Develop and implement internal processes.
Coordinate work across Operations teams, Technical Product, and CS to ensure smooth execution and alignment.
Investigate complex cross-functional issues surfaced by operational teams, and lead structured resolution processes with relevant teams. Support and resolution of customer-related requests.

As a BIM Specialist - Major Projects , you are the bridge between the physical site and our digital brain. You wont just be "modelling", youll be managing the Digital Twin of massive global projects. Youll ensure the data flowing into our AI is flawless, helping project managers worldwide make decisions based on real-time 3D insights.

What you'll do
Master the Digital Twin: Own the end-to-end management of complex BIM models for prestigious global projects.
AI-Model Integration: Be the authority on how client models live and breathe within the ecosystem.
Strategic Review: Detect changes, investigate model evolutions, and generate high-level insights for our operations teams.
Innovation: Work at the intersection of BIM and AI, constantly finding ways to optimize our federated models and data workflows.

The Construction Solution team is the professional and technical backbone of Buildots Operations, responsible for creating and maintaining the Digital Twin framework for our clients.

This involves integrating client models, schedules, and construction methodologies with Buildots proven workflows to create a digital twin that accurately represents how projects are built.

Our solution managers are construction professionals with hands-on industry expertise, complemented by deep knowledge of the Buildots platform. They oversee the full lifecycle of projects from setup to ongoing maintenance while engaging directly with clients to ensure the system consistently delivers measurable value.

With a regional structure and global coverage, the Construction Solution team aligns our tools and methods to meet local market requirements while contributing to the continuous evolution of our solution.

What You'll Do:
Design and implement Buildots our solution for local and global projects, ensuring alignment with client needs and project realities.
Lead technical and construction-focused discussions with clients during discovery and implementation.
Act as a construction subject matter expert within us, guiding internal teams with your field experience.
Translate project construction methodologies into our digital twin framework, creating systems that reflect how projects are actually built.
Combine our design standards with client-specific requirements to maximize the value of the platform across the project lifecycle.
Contribute to the continuous improvement of our design methodology by sharing insights, lessons learned, and best practices.
Play a key role during implementation and onboarding, representing both client needs and our strategy in discovery sessions.
Collaborate with various teams, such as Customer Success, Account Management, and Product to ensure client success and alignment with company goals.

We are looking for a Technical Support Engineer to join our highly experienced global team.

The Technical Support Engineer role embodies the critical intersection of technical expertise and a focus on customer satisfaction.

This role is tasked with helping customers with giving answers to technical questions, solution architecture, and ensuring successful adoption of the Platform.



What Youll Do

Serve as our customers single point of contact for any tech-related matters
End-to-end ownership of customer support cases from opening until closure, ensuring customer satisfaction
Establish relationships and engage with technical counterparts to drive product adoption and expansion
Train and coach customers to a successful onboarding process and ongoing usage
Advocate internally for customer needs - be the technical voice of the customer within Coralogix
Contribute to our knowledge base by creating documentation, video tutorials, and predefined answers to common issues
Prioritize and manage several open issues at one time
Properly escalate unresolved issues to the appropriate internal teams

we are seeking a Site Reliability Engineer to join our team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
Responsibilities

Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If you're passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.



Responsibilities:

End-to-end development and ownership of products and features, from design to scalable and predictable production behavior

Solve diverse and complex problems in a high-scale, cloud-native environment

Collaborate with other engineers and product managers to improve product functionality, scalability, and performance

Design, develop, and maintain robust, secure, and efficient software solutions

Ensure high system reliability by implementing best practices in monitoring, observability, and automation

Review code, architecture, and data to identify and troubleshoot technical and performance issues

Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey.

Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.

What youll do:

Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles.
Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide.
Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts.
⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product.
⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs.