AI Solutions Engineer at Axi

, , Philippines -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full-Stack Development, Financial Chatbot, UI/UX Principles, Backend APIs, Node.js, Python, Large Language Model, Data Engineering, Machine Learning, Deep Learning, Automation, Testing, Cross-Functional Collaboration, Software Development Methodologies, Communication Skills, Problem-Solving

Industry

Financial Services

Description

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in Philippines. Who We Are. Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients. Let's talk about the cool stuff you will do at Axi! The role is to create AI native products. Your EDGE Assignment/You Will Full-stack Development (Financial Chatbot & Dashboard) Develop and maintain front-end components for a financial agentic chatbot (Warren) using modern frameworks (e.g., Next.js, React, or Vue) and best-practice UI/UX principles. Implement secure and scalable backend APIs in Node.js/Python (or another relevant language) to power chatbot functionalities and personalized dashboards. Integrate Large Language Model (LLM) APIs into the chatbot, ensuring seamless communication with broader platform services and data sources. Build user-facing dashboards that leverage customer data to provide personalized financial insights and trading recommendations. Collaborate with product teams to refine feature requirements and ensure alignment with the overall platform ecosystem. Machine/Deep Learning Initiatives Research, prototype, and develop ML or deep learning solutions relevant to a brokerage trading environment (e.g., market trend analysis, automated portfolio recommendations, fraud detection). Use data engineering techniques to gather and preprocess large datasets from various brokerage/trading data sources, ensuring data integrity and consistency. Train, evaluate, and deploy predictive models that enhance trading strategies, risk management, or user experience. Collaborate with data scientists and platform engineers to integrate ML models into the existing infrastructure while ensuring performance and reliability. Automation & Testing Implement automated test suites using Selenium, Playwright, or similar frameworks to ensure the stability and reliability of both front-end and back-end applications. Maintain and schedule periodic tasks (e.g., data ingestion, system health checks) using task schedulers or orchestrators, ensuring efficient and fault-tolerant operations. Continuously explore opportunities to improve system performance, reduce manual tasks, and streamline development workflows via automation. Integration & Collaboration Work closely with cross-functional teams (e.g., product, UX, data science, infrastructure) to gather requirements, plan sprints, and deliver integrated solutions. Participate in architecture reviews to ensure that chatbot and ML solutions scale and adhere to industry best practices for security and performance. Provide clear and consistent project updates, documentation, and technical insights to both technical and non-technical stakeholders. Contribute to the refinement of software development methodologies, coding standards, and best practices within the organization. Continuous Learning & Innovation Stay up-to-date with the latest advancements in full-stack development, machine learning, and automation tooling. Proactively recommend new technologies, frameworks, or processes that could enhance the company’s trading platform and user experiences. Experiment with new LLM capabilities or libraries that can further improve chatbot functionality, personalization, or platform integration. Participate in code reviews, knowledge-sharing sessions, and mentorship activities to foster team growth and collaborative learning. Are you the one? Bachelor’s degree in Computer Science, Data Science, AI, or a related field. Have 2-3 years of working experience related to AI would be an advantage. Comfortable using AI tools such as OpenAI Playground, Cursor AI, RightClick, and Bolt. Passionate about automation and problem-solving. Strong communication skills and ability to work in a team environment. Axi's bag of delights Competitive and attractive compensation. Extensive learning opportunities, such as professional training and certifications and soft skills development. 20 annual leave days per year. Health Insurance Axi's interview journey Talent Acquisition Interview (45 minutes) Take Home Assessment (1 day) Hiring Manager Interview (40 minutes) We want to inform all prospective candidates that Axi's designated Employer of Records (EOR) in Philippines is Satellite Office. As part of our commitment to legal compliance, all Axi Philippines employees will be officially working under Satellite Office Philippines. Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume. At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

Responsibilities

The AI Solutions Engineer will create AI native products, focusing on full-stack development of a financial chatbot and dashboard. Responsibilities include developing front-end components, implementing backend APIs, and integrating machine learning solutions.