Pioneering the future of Generative AI

The candidate will design, develop, and maintain software systems with integrated generative AI. The ideal candidate will have strong experience in software engineering, a focus on building production-ready systems, and experience with data engineering, and machine learning. The candidate should also have experience with large language models (LLMs) and be familiar with LLM libraries such as LangChain or LLamaindex.

Responsibilities

● Create prototypes and proofs of concept that demonstrate the feasibility and potential benefits of generative AI solutions

● Design, implement, and maintain scalable and robust generative AI systems that meet performance, cost-effectiveness, and latency requirements

● Evaluate the capabilities and limitations of generative AI models, including their accuracy, bias, and interpretability, and provide recommendations for their appropriate use

● Identify potential applications of generative AI for clients

● Provide expert advice and guidance to clients on the use of generative AI

● Keep up to date with the latest research and advancements in the field, stay informed about emerging trends and best practices, and contribute to the generative AI community

Requirements

● Strong experience in software engineering, with a focus on building production-ready systems

● Passion for learning new technologies and staying updated with the latest advancements in generative AI

● Ability to quickly adapt to changing requirements and evolving technologies

● Ability to clearly articulate technical concepts and ideas to both technical and non-technical audiences

● Experience with Python and Golang

● Experience with large language models (LLMs) and familiar with LLM libraries such as LangChain or LLamaindex is a plus

● Familiarity with cloud platforms such as Azure, AWS or GCP is a plus

● Familiarity with frontend technologies such as React is a plus

Responsibilities:

• Design, develop, and maintain scalable ETL pipelines to process structured data from various sources.

• Collaborate with AI engineers to define data requirements and ensure smooth data integration with Generative AI solutions and machine learning models.

• Build and optimize data models to support engineering and business needs, ensuring accuracy, consistency, and performance.

• Implement and enforce data quality standards, ensuring data is clean, validated, and up to date.

• Develop storage solutions that enable efficient querying, analysis, and reporting.

• Monitor, troubleshoot, and optimize data pipelines to ensure reliable and timely delivery of data.

• Stay informed on best practices and advancements in data engineering with a focus on extending data platforms with semi- and unstructured data.

Requirements

• Experience: Minimum of 5 years of hands-on experience working with enterprise-grade data platforms.

• Technical Skills:

  • Proficiency in SQL and PySpark and experience with large-scale data processing.

  • Strong command of common data engineering languages such as Python, Scala, or Java.

  • Familiarity with cloud-based data platforms like Databricks, Google BigQuery and DataProc, or AWS Redshift and EMR is a plus.

  • Proficiency in data modeling, including design and implementation of raw data layer (bronze), refined data layer (silver), business/consumption layer (gold)

  • Experience with ETL tools, data pipeline orchestration frameworks (e.g., Apache Airflow), and version control.

  • Knowledge of data warehousing concepts and best practices for large-scale data environments.

• Platform Development Interest: A strong interest in the full stack of platform development, including software engineering, machine learning, front-end development, and generative AI.

• Curiosity: A keen interest in expanding knowledge and skills in generative AI, with the motivation to work on cutting-edge AI-driven projects.

• Problem-Solving Mindset: Ability to solve complex data challenges in innovative and efficient ways.

Collaboration: Ability to work in a cross-functional environment, collaborating with a diverse team of engineers.

As a Front-End/Full-Stack Engineer at ArcFusion, you will be responsible for building innovative user interfaces/backend that unlock the full potential of our state-of-the-art Generative AI solutions. Your role will span the development of interfaces for both SaaS products and tailor-made enterprise solutions.

You will collaborate closely with our Generative AI engineers and UX/UI designers, translating advanced AI functionalities into intuitive, interactive, and engaging user experiences. Your focus will be on developing design interfaces that move beyond traditional chat-based interactions, bringing GenAI capabilities to life through effective user experiences.

Experience

• Minimum of 3 years of hands-on experience as a Front-End/Full-stack Engineer, developing scalable, robust, and maintainable solutions.

Technical Skills

• Proficiency with modern JavaScript frameworks and libraries, such as Typescript, React.js (preferred), Vue.js.

• Strong understanding of HTML5, CSS3, Tailwind CSS and responsive design principles.

• Familiarity with state management solutions (Redux, Vuex, Zustand, etc).

• Familiarity with testing libraries. such as Cypress, Playwright, Jest or React-Testing-Library.

• In-depth web performance optimization and producing production-ready code quality.

• Knowledge of the standard of accessibility, WCAG guidelines, and a quick UI mockup.

• Experience with RESTful APIs and integration with backend services.

• Websocket technology is a plus.

• Golang/Python language is a plus.

• Knowledge of version control systems (e.g., Git) and CI/CD processes.

Behavioural Skills

• Self-Reliance: Ability to work autonomously with minimal guidance.

• Curiosity: A keen interest in expanding knowledge and skills in generative AI, with motivation to work on frontier AI-driven projects.

• Problem-Solving Mindset: Proven ability to tackle complex engineering challenges in innovative and efficient ways.

• Collaboration: Strong capability to thrive in a cross-functional environment, effectively partnering with diverse teams of engineers. Trust and mutual support are core values at ArcFusion, so we seek an approachable, supportive team player.

Communication: Clear and effective communication skills, enabling close collaboration with technical and non-technical stakeholders.