Vacancy description
Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.
Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.
This is a unique opportunity to directly shape how cutting-edge Large Language Models (LLMs) and advanced automation are seamlessly embedded into our daily operations, significantly elevating our productivity, refining the quality of our products, enhancing data-driven decision-making, and optimizing internal processes. Simultaneously, you will be instrumental in architecting and delivering innovative, AI-powered solutions that directly address complex external client challenges, leveraging the robust and comprehensive capabilities of Google Cloud Platform.
You’ll collaborate closely with diverse teams across the organisation and engage directly with our clients, delving deep to understand pain points and proactively identify high-impact opportunities for automation, process improvement, and groundbreaking client solutions. With unparalleled access to a wide spectrum of state-of-the-art models via Google Cloud, and within an organization deeply committed to AI innovation, you will be exceptionally positioned to experiment, iterate rapidly, and launch truly impactful internal services and client-facing solutions that drive real-world results.
This role is perfectly suited for a curious, pragmatic, and highly motivated engineer driven by tangible impact, rather than solely by research or prototypes. You will lay the foundational groundwork for Cloudfresh’s approach to both internal and external AI applications, fostering a steadfast focus on utility, building unwavering trust, and ensuring constant adaptation to the evolving technological landscape.
Requirements:
- Demonstrable experience creating robust LLM-backed tools, encompassing expertise in prompt engineering and automated evaluations.
- 3+ years of comprehensive experience in full-stack development, with exceptional proficiency in Python, React, and JavaScript (including its framework Node.js).
- Proven expertise in Google Cloud Platform, including practical experience with
- Apigee API Management and/or Application integration platform, to develop and deploy scalable and reliable solutions.
- Excellent debugging skills coupled with the ability to expertly manage multiple, concurrent projects in a fast-paced, dynamic environment.
- A high level of ownership and unwavering accountability, particularly when dealing with sensitive or business-critical data.
- Strong, articulate communication skills and a deeply collaborative mindset, capable of effectively translating complex technical concepts to diverse internal and external audiences.
- Comfortable thriving in a fast-paced, sometimes ambiguous environment with shifting priorities, demonstrating adaptability and resilience.
- Extensive experience working cross-functionally with teams outside of traditional product development, including direct client-facing interactions.
Responsibilities:
- Develop, maintain, and continuously optimize internal tools and systems that harness AI to automate existing workflows and dramatically increase employee productivity.
- Collaborate proactively with internal teams and directly with our clients to deeply understand their challenges, and then identify and champion high-impact opportunities for automation, process improvement, and innovative client solutions.
- Rapidly prototype, develop, and swiftly deploy small, impactful AI-enabled utilities or automations into production, ensuring quick iteration and demonstrable value delivery.
- Act as a high-trust owner of critical systems that may handle sensitive data or business-critical logic, upholding the highest standards of security, reliability, and accountability.
- Work cross-functionally to ensure that newly developed tools are enthusiastically adopted and deliver obvious, measurable value, thereby cultivating a pervasive culture of AI-driven efficiency across the organization.
- Stay rigorously updated on the latest models, tools, and advancements within the dynamic AI and Google Cloud ecosystem, directly applying that knowledge to your impactful work at our organisation.
- Address complex client-facing challenges by developing, integrating, and optimizing sophisticated AI-powered solutions, with a strong emphasis on leveraging Google Cloud technologies, including, but not limited to, ApiGee or Low code/no code Application integration platform.
Work conditions:
- Competitive Salary & Transparent Motivation: Receive a competitive base salary with commission on sales and performance-based bonuses, providing clear financial rewards for your success.
- Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
- Freedom to Innovate: Utilize multiple channels and approaches for sales, allowing you the freedom to find the best strategies for success.
- Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
- International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry. Expand your expertise by engaging with international markets across the EMEA and CEE regions.
- Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
- When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
- Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes.
