AI Engineering Specialist
TLDR
Lead the design of scalable AI platforms and pipelines, enabling enterprise-wide AI adoption and production-ready solutions across global teams.
- Design and develop internal AI platforms, frameworks, and accelerators to support scalable AI adoption across teams.
- Build reusable libraries, templates, and tooling for generative AI and large language model (LLM) applications.
- Develop and maintain robust pipelines for building, deploying, evaluating, and monitoring AI-powered systems.
- Integrate AI capabilities into APIs, microservices architectures, and enterprise-level platforms.
- Promote and enable AI adoption across the software development lifecycle (SDLC).
- Collaborate with global engineering, product, and technical teams to implement AI-driven solutions.
- Translate business needs into scalable, secure, and production-ready technical architectures.
- Present technical solutions, prototypes, and innovations to stakeholders and leadership teams.
- Strong experience in software engineering using Python, Java, or similar programming languages.
- Solid background in building APIs, microservices, and distributed systems.
- Experience working with cloud-based architectures and scalable system design.
- Hands-on experience with CI/CD pipelines, automation, and modern DevOps practices.
- Ability to work in global, cross-functional teams with advanced English proficiency.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Strong problem-solving skills, system thinking, and ability to bridge business and technical requirements.
- Exposure to AI/ML concepts is highly desirable, including LLMs, generative AI, or agent-based systems.
- Familiarity with MLOps or LLMOps practices, including deployment and monitoring of AI systems.
- Experience with orchestration tools (e.g., Airflow, Prefect, Dagster), vector databases, or Kubernetes is a plus.
- Prior experience in fintech or large-scale enterprise technology environments is an advantage.
- Comprehensive health insurance coverage and life insurance.
- Food and meal vouchers as part of compensation support.
- Paid time off including birthday leave.
- Parental leave policies supporting work-life balance.
- Continuous learning and professional development programs.
- Employee wellness and assistance programs.
- Internal recognition programs rewarding performance and contribution.
- Exposure to cutting-edge AI technologies and large-scale global systems.
Requirements:
Benefits:
Benefits
Free Meals & Snacks
Food and meal vouchers as part of compensation support.
Health Insurance
Comprehensive health insurance coverage and life insurance.
Learning Budget
Continuous learning and professional development programs.
AI and global systems exposure
Exposure to cutting-edge AI technologies and large-scale global systems.
Paid Parental Leave
Parental leave policies supporting work-life balance.
Paid Time Off
Paid time off including birthday leave.
Wellness Stipend
Employee wellness and assistance programs.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services