About The Company
Kpler is a leading provider of global trade intelligence, dedicated to helping clients navigate complex markets with ease. Since its inception in 2014, the company has focused on delivering top-tier intelligence through user-friendly platforms that transform intricate data into actionable insights. With a team of over 850 experts across 69 countries, Kpler empowers organizations in the commodities, energy, and maritime sectors to make informed decisions and stay ahead in a rapidly evolving market landscape. The company's commitment to innovation, reliability, and customer satisfaction has established it as a trusted partner in global trade intelligence.
About The Role
The Senior AI Engineer at Kpler will join the newly formed AI Enablement crew, tasked with equipping every function within the organization with the necessary tools, frameworks, and AI agents to operate effectively at scale. This is a senior individual contributor role that involves designing, building, and managing production-grade AI systems, including agents, assistants, shared frameworks, and knowledge bases. The engineer will own end-to-end solutions, collaborating closely with functional champions to understand workflows, identify automation opportunities, and deploy AI-driven solutions. The role emphasizes engineering rigor to ensure systems are reliable, observable, safe, and cost-effective. Additionally, the Senior AI Engineer will mentor less experienced engineers, contribute to the company's AI adoption strategy, and help elevate AI-assisted engineering practices across Kpler.
Qualifications
- 5+ years of software engineering experience with a focus on building and operating production systems end-to-end.
- Hands-on experience deploying LLM-powered features, agents, or AI tools into production environments.
- Strong expertise in system integration, including third-party SaaS APIs, internal services, and data pipelines.
- Solid understanding of system design, APIs, databases, and application architecture.
- Experience working directly with non-technical stakeholders to develop and deliver solutions.
- Practical knowledge of security and data privacy considerations related to AI systems.
- Proficiency in Python and/or TypeScript programming languages.
- Experience with LLM application engineering, including model APIs, prompt engineering, RAG systems, and knowledge bases.
- Familiarity with cloud environments, preferably AWS, CI/CD pipelines, and containerization.
- Excellent communication skills and the ability to document technical solutions clearly.
Responsibilities
- Design, develop, and operate AI systems such as agents, assistants, and automations, owning solutions from conception through production and maintenance.
- Build foundational platform components, including frameworks, knowledge-base pipelines, evaluation tools, and integrations with company systems.
- Collaborate with functional teams to understand workflows, identify automation opportunities, and implement AI-driven solutions.
- Implement security best practices, including access control, data privacy, auditability, and human-in-the-loop mechanisms where necessary.
- Measure system performance and impact, including adoption metrics, quality, cost savings, and efficiency improvements, using data to inform iterative enhancements.
- Ensure the reliability, observability, and maintainability of AI systems, including incident response and root cause analysis.
- Contribute to the AI software factory by establishing standards, skills, and practices for AI-assisted engineering across teams.
- Create comprehensive documentation, proposals, and runbooks to facilitate knowledge sharing and operational clarity.
- Mentor other engineers, participate in hiring efforts, and support onboarding processes to foster a strong, collaborative team environment.
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work arrangements and remote working options.
- Opportunities for professional development and continuous learning.
- Inclusive and diverse work environment fostering innovation and collaboration.
- Access to cutting-edge AI and data technologies, with opportunities to influence product strategy.
- Supportive company culture that values work-life balance and employee well-being.
Equal Opportunity
Kpler is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse perspectives lead to better ideas and stronger solutions, and we are dedicated to fostering a workplace where everyone can thrive and contribute to our collective success.