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we are looking for a Senior AI Agents & Full-Stack Engineer.
What You'll Do:
Build advanced AI agent systems for creative and marketing workflows
Design and implement scalable backend services in Python
Develop frontend experiences using React and TypeScript
Work closely with AI researchers, product leaders, and designers
Help shape the architecture and direction of a new product from its earliest stages

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We're looking for a mid-level engineer to join the team building our S3-compatible object Storage, purpose-built for the throughput and latency demands of AI - including GPUDirect Storage integration for direct data movement between Storage and GPU memory.
Responsibilities:
* Native filesystem-level code interfacing with our Storage backend 's C API, bridged into our Go services via CGO.
* Low-level file and metadata operations: file handles, attributes, locking, and concurrent access patterns typical of a production filesystem.
* Correctness-critical logic around partial failures and rollback - ensuring operations that fail partway through don't leave the system in an inconsistent state.
* Concurrency and locking correctness across operations that touch shared filesystem state.
* Debugging and root-causing issues using system traces and logs, tracing behavior across distributed components.

we are a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally.
We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data -driven decisions, and moving quickly from idea to execution.
We are looking for a Forward Deployed Engineer (FDE) to build and lead our company's AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations.
To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders.
Your life at our company will look like
* Define and lead the company's AI strategy and execution roadmap.
* Identify the highest-impact opportunities for AI across all business functions.
* Prioritize initiatives based on measurable business value, speed of implementation, and scalability.
* Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents.
* Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making.
* Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks.
* Drive adoption and behavioral change across teams.
* Partner directly with business leaders to identify opportunities and implement solutions.
* Evaluate emerging technologies, models, vendors, and platforms.
* Establish governance, standards, architecture, and best practices for AI development.
* Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have
* Strong technical foundation in Computer Science, Software Engineering, data Science, or a related field.
* 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments.
* Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
* Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments.
* Strong proficiency in Python, SQL, APIs, and data -driven application development.

We're looking for a DevOps Engineer to join our growing Infrastructure team.
You'll work alongside our DevOps team to design, scale, and optimize the cloud infrastructure powering our company's AI-driven platform. As our product and engineering organization continue to grow rapidly, you'll play a key role in improving reliability, automation, scalability, and developer productivity.
This is a highly hands-on role with significant ownership. You'll collaborate closely with R&D, AI, and Security teams to build reliable infrastructure, streamline development workflows, and help shape the future of our engineering platform.
Responsibilities
Design, build, and maintain scalable cloud infrastructure.
Develop and improve CI/CD pipelines and deployment processes.
Manage and optimize Kubernetes clusters and containerized environments.
Automate infrastructure using Infrastructure as Code (Terraform or similar).
Improve monitoring, observability, and system reliability.
Support production environments and troubleshoot infrastructure issues.
Collaborate closely with R&D, AI, and Security teams to improve developer experience.
Help define infrastructure best practices and drive operational excellence.

The Role & The Challenge
We are seeking a DevOps Engineer, at the mid or senior level, to join our infrastructure team, reporting directly to our DevOps Team Leader. Depending on experience, this role will either contribute to or help drive advanced infrastructure initiatives - from system design through production hardening - as we raise the bar for operational excellence across the company.
The immediate challenge: our company operates a high-volume, multi-account AWS environment. You will help solve complex delivery, scaling, and operational problems along the way. Scope and ownership will be calibrated to your experience level.
Responsibilities
Contribute to Cloud & Migration Strategy: Work alongside our DevOps Team Leader to help plan and execute our migration from ECS Fargate to Kubernetes (EKS) without downtime, while maintaining our existing cloud estate.
Advance Infrastructure as Code: Design and implement modern, modular IaC frameworks utilizing Terraform and OpenTofu to ensure consistent, multi-environment deployments.
Improve Enterprise CI/CD: Evolve our delivery pipelines (GitHub Actions, OIDC federation) at scale, reducing developer friction and elevating deployment safety across dozens of services.
Support Data-Intensive Infrastructure: Help maintain the performance, capacity, and resilience of our high-volume data layer (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging pipelines.
Strengthen Reliability & Observability: Help maintain organization-wide reliability standards using open, modern telemetry stacks (OpenTelemetry, Coralogix, Grafana), ensuring on-call operations are driven by signal, not noise.
Balance Growth & Governance: Participate in technical tradeoff decisions that balance velocity, least-privilege security, zero-trust access (Tailscale), and FinOps cost efficiency.

We know what it takes to build a world-class company-and it starts with a world class team!
Were looking for an experienced QA, with a can-do and hands-on approach.
We are a fast-growing technological innovation company that is looking for talented and motivated individuals to join our experienced team creating environment focused solutions.
What you will be doing:
Review both business and technical requirements for SaaS applications to ensure that they are clear, complete, and testable.
Be responsible for creating/updating STD for new and existing software applications.
Test advanced Airline processes embedded within our B2B SaaS application.
Ensure that our data pipelines are working properly with the highest level of data quality.
Ensure that standards for development and quality are defined and tracked accordingly.
Cover all types of testing needed to ensure a high-quality application, including (but not limited to): feature/functionality, deployment, configuration, performance, integration, and usability.
Track coverage, progress, and result of testing in software application lifecycle management tools.
Tracking quality of application (readiness for release) by working directly with the development team to ensure that issues are found/fixed in an expedited manner.
Monitor software quality issues that are detected after release, triage issues, and work with the development team to expedite fixes.
Our tech stack includes: React + Redux, Node.js, MongoDB.

You are joining a small engineering team that is already shipping a live platform, and you will lead it. You own the architecture and set the technical direction as we scale from a working product to the system hospitals run their AI operations on: the connectors that read from the AI a hospital has deployed, the auditable record on top, and the monitoring the platform is growing into.
What you'll own
The architecture and hands-on build across the full stack, and the technical direction as the platform scales.
The connectors that read from hospital environments, the auditable AI record on top, and the roadmap into drift and performance monitoring.
The engineering foundations: code review, testing, CI/CD, and the security posture a hospital will interrogate.
Leading and growing the team, and owning the hiring bar.

A senior, hands-on engineer joining a small team that is already shipping a live platform. You own whole features end to end, from a rough problem to something running in production that a hospital relies on. You will not wait for a spec, and you help set the bar for how we build as we grow.
What you'll own
Whole feature verticals across frontend, backend, data, and cloud: the auditable AI record, the workflows around it, and the ingestion behind them.
The reliability of what you ship, including incidents on your own code.
Local architecture and tooling calls, made without escalating everything.
The engineering-quality bar a small team compounds on: review, testing, and the habits later hires inherit.

What You'll Do
- Build and evolve the Workflow Builder, Tables, and App Maker UIs - visual, drag-and-drop, real-time, collaborative.
- Design and ship the Gini AI Worker dashboards - run visualization, step traces, approvals, cost tracking.
- Own performance - sub-second interactions, optimistic updates, virtualized lists, edge-first rendering.
- Partner tightly with design + product on component systems, accessibility, and motion.
- Contribute to our design system - reusable, themable, keyboard-first.

What You'll Do
- Design and ship the ML backbone of Gini AI Workers - routing, tool selection, reasoning, memory, evaluation.
- Build evaluation and feedback loops - offline evals, online A/B, regression harnesses, human-in-the-loop labeling pipelines.
- Optimize cost and latency across the agent stack: prompt engineering, model routing (frontier ↔ small ↔ fine-tuned), caching, speculative decoding, distillation.
- Fine-tune and/or RAG-tune models for vertical enterprise tasks (invoice extraction, PO matching, ticket triage, forecasting).
- Own the ML infra - training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection.
- Partner with backend + product to turn research into shipped features on a weekly cadence.

We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.