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Eager to take the challenge and work with tech companies around the world? We're currently hiring engineers, developers and technology experts in LATAM and the Philippines.
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As the company's first software engineer, you will work directly alongside the head of product to prototype and build the core SaaS product, client deliverables, and internal operational tools. The team aims to establish solid platform architecture, prototype rapidly, and maintain high standards for shipped code.
This position is responsible for designing, building, and maintaining the AI systems: the LangGraph agents, retrieval-augmented generation (RAG), multi-provider LLM orchestration, and prompt/evaluation machinery that turn customer conversations and uploaded documents into grounded, auditable cost estimates. Good leadership skills and the ability to work in US time zones as required are both prerequisites.
Our client is a growing software engineering group fostering a culture rooted in strong engineering practices, ownership, and transparency. The organization operates at the intersection of technology, implementation, and client collaboration, working across the full software development lifecycle (SDLC) with clients and engineering teams alike.
Our client is a digital product consultancy that creates apps, websites, and digital products for ambitious, results-focused organizations, including well-known brands. It has a growing UX & Design team that works in cross-functional product teams on projects for global clients. The culture is diverse, inclusive, and focused on building products people love by balancing customer needs with business demands.
An early-stage, product-led company with a team of 16 people, operating fully remote. The engineering team is small (Head of Engineering + 2 developers), and they are actively scaling.
Their platform is built on a serverless AWS architecture, with Golang powering backend services (Lambda-based) and lightweight React applications on the frontend.
The company is currently facing technical debt challenges, particularly within the backend, and is looking to bring in strong senior engineers who can operate independently, simplify systems, and help stabilise and scale the platform.
Our client is a European software engineering and consulting company building and enhancing IDEs and core plugins within a major IDE platform ecosystem, powering widely used developer tools (e.g., PyCharm-style, GoLand-style, PHPStorm-style, RubyMine-style tooling). The work involves implementing advanced language/technology support (e.g., PHP, Ruby, Scala, Bazel, Kotlin) through deep integration with their respective ecosystems, with the goal of delivering stable, high-quality tools used by developers worldwide.
We are looking for a Sys Admin + Python Infrastructure Engineer to lead key infrastructure delivery centered on graph database environments (Neo4j/GraphDB). The role combines high-level systems engineering and infrastructure automation with proactive security hardening and system architecture optimization.
This is an advanced/senior-level, highly autonomous role. The engineer will collaborate independently with technical stakeholders, drive solutions end-to-end, and own delivery outcomes.
Maintain, scale, and optimize core on-premise infrastructure serving over 10,000 developers. The primary focus is driving the reliability and efficiency of essential developer tools and services (such as Jenkins, Bitbucket, and BuildBarn) through solid system administration, networking, and automation across cross-ecosystem environments.
Our client is a creative technology and talent solutions agency dedicated to transforming how organizations attract and engage people. They specialize in crafting employer brand and digital experiences that connect leading global companies with exceptional talent.
We are looking for a Senior/Staff Kotlin Engineer to join a small, flexible team building advanced developer tooling. This is a technology-focused engagement where the end-users are developers themselves, working on IntelliJ plugins, IDEs, coding agents, and local AI inference frameworks.
This is a senior/staff-level role offering high operational autonomy. The engineer will be expected to own features end-to-end, from design and scoping through to testing and implementation, with minimal oversight. No specific reporting line or time zone overlap requirement was specified beyond a remote-first working setup.