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We are looking for a talented and experienced engineer to take part in the Emulation and Prototyping efforts for the companys core product. This position involves building a complex emulation environment from scratch, and collaborating with software, design, and verification teams. In this role, you will be leading emulation from A to Z and will have a critical impact on the company.

Responsibilities
Develop and build complex emulation models for coming generations of our accelerators, including transactors like PCIe, SPI, and embedded CPUs.
Work with the software, design, development, and verification teams to understand the functional and performance goals of the products design.
Optimize the model for speed and capacity and develop debug abilities to support software and firmware teams.
Work with software design and development teams to define and develop BFM, test bench, and checker tools.
Review specifications and develop attributes, tests, and coverage plans for the emulation system.

As a Motion Designer at Base44, you'll craft compelling visual narratives through motion, built on a strong foundation of design principles. You'll design for motion using composition, typography, and color, ensuring that movement naturally extends the brands visual identity and storytelling. In your day-to-day, you will:
Develop styleframes and storyboards to establish the creative direction for projects
Shape brand aesthetics through motion, ensuring consistency across digital platforms
Collaborate with designers, animators, editors, and 3D artists to bring concepts to life
Work closely with creatives and marketers to translate ideas into compelling motion visuals
Think beyond animation- focus on storytelling, product experience, and visual impact
Stay ahead of trends- explore new techniques in motion design, branding, and interactive visuals.

We are seeking a highly accomplished AI Researcher to be part of the development of next-generation Foundation Models and Generative AI systems. In this role, you will bridge the gap between cutting-edge academic research and production-grade AI infrastructure. You will build, design, and fine-tune large-scale architectures (including LLMs, Multimodal, and Tabular Foundation Models) while applying them to complex, real-world domains like agentic behavior, coding and decision making.
In your day-to-day, you will:
Conduct pioneering research in deep learning and generative AI, specializing in Foundation Models, NLP, alignment, and multimodal learning
Deal with the impact of the models on production traffic, cost quality and latency
Train and scale state-of-the-art architectures using techniques like Post-Training SFT, Knowledge Distillation, LoRA, and sparse/hybrid model architectures
Own the AI lifecycle-from algorithmic prototyping and synthetic data generation to deploying production-grade AI features in fast-paced or big-data environments
Drive research initiatives, author publications/patents, and collaborate with other research teams to integrate intelligent capabilities into core products.

we are looking for a Staff Backend Engineer - Moderation.
Why This Role Is Different:
You will work on a backend system where scale, cost, and correctness all matter at the same time.
You will have real architectural ownership, direct customer impact, and the freedom to move fast without heavy process.
Few roles offer this combination inside a mature company.
What You Will Do:
Own the Server Side
Design, build, and evolve the server side of a moderation platform operating at scale, including:
High throughput async pipelines
Large volumes of images and videos
Multi tenant systems
Cost sensitive ML workloads
Agentic moderation workflows and AI-driven decision systems

We are looking for a skilled and motivated Senior Python Backend Engineer to join our Surveillance Engineering team. The ideal candidate will have a deep understanding of software development and technical expertise. This is a hands-on role for someone who wants both depth and ownership: youll design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production. The position requires strong collaboration and communication skills as you will be working alongside engineers, data scientists, and domain experts.

About the Surveillance Group: The Surveillance group at our company builds and operates advanced AI solutions. Our team is composed of engineers, data scientists and subject matter experts who work together to deliver a high-quality, production-ready Surveillance product. We push the boundaries of what is possible and measure ourselves by the impact we deliver to our clients.

Lets get down to business:

What Youll Do:

Design, build and maintain the software infrastructure and solutions that make up our Surveillance pipeline, combining classic machine learning models and GenAI models with complex business logic and analytical components.
Own significant architecture decisions and evaluate and select the technologies we build on.
Solve complex engineering problems end to end, from investigation and design through implementation and rollout.
Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready that are fully integrated and scalable.
Support the product in production: investigate issues, improve observability, and make the system easier to run.
Build and operate services in containerized environments (Docker, Kubernetes) on AWS.
Hold a high engineering bar: meaningful unit tests, solid CI/CD following best practices.
Keep current with developments in software engineering and production ML infrastructure.

We are looking for a Development Engineer to join our team. This is a technical operations development engineer to contribute to production infrastructure, platforms, and/or service improvements.

Description:
Follows general guidance to maintain production infrastructure, platforms and services. Works with other teams in the organization and participates in the design review of new, scalable solutions for fast changing environments with limited supervision. Supports the execution of deep drill down analysis into production support operations and implements necessary fixes. Investigates errors and triages issues to determine resolution. Builds and implements small to standard enhancements to resolve defects. Contributes to production infrastructure, platforms, and/or service improvements. Contributes to the design, development, configuration, implementing, of enterprise supporting systems. Contributes to server architecture and networking solutions. Conduct simple code and architecture reviews and resolves simple performance and scalability issues to improve products and services.

Responsibilities
Key Responsibilities
Production Infrastructure:
-Follows general guidance to maintain the production infrastructure, platforms, and services which support the growing client base as well as to support the design and implementation of highly scalable environments.
-Works with other teams in the organization and provides solutions for their needs.
-Participates in the design review of new, scalable solutions for fast changing environments with complex needs in various fields (e.g., configuration deployments, monitoring, and logging) with limited supervision.
Troubleshooting, Testing, and Improvements-Drilldown Analysis/Troubleshooting:
-Supports the execution of deep drill down analysis into production support operations and implements necessary fixes.
-Investigates errors, debugs source code and performance bottlenecks, and provides root cause analysis (RCA) if needed with assistance from others.
-Triages issues and connects with SMEs to determine resolution.
Troubleshooting, Testing, and Improvements-Testing and Improvements:
-Builds and implements small to standard enhancements (e.g., automating alerts) and receives minimal guidance to resolve defects.
-Globally works with cross functional teams to ensure service health with pre-production testing of new releases, post-change validation, and automation work to improve the testing.
-Contributes to changes, evolution, improvements, simplifications, and development of new ideas for the production, platforms, and/or services.
-Participates in the creation of user acceptance test plans.
System Design and Architecture-System Design:
-Contributes to the implementation and deployment of enterprise supporting systems with minimal guidance.
-Works with limited external or internal customers to implement large scale solutions, business process architecture, application system design, and implementation.
System Design and Architecture-System Architecture:
-Contributes to the identification of solutions in experience of application or server architecture and networking.
-Participates in the development of part of the architecture standards and practices.

Were looking for a Senior Backend Engineer who will join our team and make a big impact.

About the role

Youll join a small, high-ownership backend team building the systems that power our company core platform, working mainly on data pipelines with a focus on the quality and structure of the data itself. We believe great engineers come from all backgrounds, and we actively work to build a team where everyone belongs and thrives.

What youll do

Design and implement new flows and services
Maintain, improve, and extend existing backend services and APIs
Work with multiple data stores - relational, NoSQL, search (Elasticsearch, etc.)
Maintain and build event-driven pipelines using message brokers (Kafka, RabbitMQ, or similar)
Collaborate with product and architecture on scalable, resilient system design
Integrate and leverage AI tools in your daily workflow - and ideally, build them

we are looking for a Staff Backend Engineer- Agent Experience (AX).
What you'll do:
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI - let coding agents and LLMs discover and invoke reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path - make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable - partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend - Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate - prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.

Responsibility
Plan, implement, and take full ownership of core features, ensuring the successful completion of the entire development cycle from design to deployment.
Lead architectural decisions and create comprehensive implementation plans to ensure scalable and secure feature delivery.
Orchestrate parallel development streams to maintain high velocity across multiple branches and complex pull requests.
Drive technical excellence by proactively exploring and sharing new technologies, AI tools, and libraries to continuously improve code quality, build performance, and system scalability.
Collaborate with cross-functional teams to contribute to high-level system design and product strategy.
Create and integrate user interfaces from scratch, ensuring intuitive, high-performance, and responsive designs.
Contribute to back-end logic in NodeJS servers and monitor/fix production issues as they arise.

We are looking for a highly seasoned Tech Lead with a deep SaaS background to bridge the gap between high-level architectural vision and hands-on technical execution. In this role, you will be a cornerstone of the Platform group, blending very senior development expertise with architectural leadership.
You will lead by example, spending a significant portion of your time in the code while simultaneously guiding the technical and architectural direction of the group. Reporting to the Platform Group Manager, you will collaborate with product managers and engineers to deliver robust capabilities consumed by internal teams and external customers.
What You'll Do:
Hands-on Technical Leadeship
Lead or co-drive the implementation of complex, cross-cutting platform features, maintaining a high standard for code quality and system performance.
Translate architectural goals into actionable technical roadmaps and lead teams through successful execution.
Balance daily feature delivery with long-term architectural health, ensuring that technical debt is managed effectively.
Provide deep-dive code reviews and technical mentorship, elevating the engineering craft across the domain.
Serve as the primary technical point of contact for the group, making critical decisions on implementation patterns and tool selection.

Were looking for a Senior Backend Engineer whos eager to become one of our core team members and establish themselves as a significant building block of our products and company at this exciting and critical point in time before we reach greater heights.

Responsibility
Research, design, and implement high-performance resilient APIs and services.
Contribute to a positive and collaborative team environment by sharing your knowledge and expertise.
Collaborate with engineers and product managers to deliver robust solutions in short development iterations.
Develop maintainable and clean code with heavy reliance on developer testing
Make thoughtful trade-offs based on business priorities, user needs, and a sustainable technical foundation.

We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our company Automation Platform (DAP) team.
The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.
You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.
This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built in production.

We are looking for an AI Engineer to join the hunt.

Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.