Engineer II (AI Enablement)

Kpler
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Problem-solving","Collaboration","User-centric mindset"]

Build and operate AI enablement tools, agents, and integrations that help every function use AI at scale. Own features end-to-end—from design and system/API development through production deployment, testing, and CI/CD—while curating and maintaining knowledge-base pipelines for reliable AI outputs. Integrate AI systems safely with company tools and data, measure adoption/quality/cost, and keep services reliable, observable, and well-documented.

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FursaFursa
Kpler
Kpler
1 day ago

Engineer II (AI Enablement)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and operate AI enablement tools, agents, and integrations that help every function use AI at scale. Own features end-to-end—from design and system/API development through production deployment, testing, and CI/CD—while curating and maintaining knowledge-base pipelines for reliable AI outputs. Integrate AI systems safely with company tools and data, measure adoption/quality/cost, and keep services reliable, observable, and well-documented.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build, tailor, and operate AI agents and assistants for internal functions, owning features end-to-end from design through production operations.
  • •Develop LLM integrations using model APIs, prompt/context engineering, and basic RAG patterns, including safe APIs and connectors to company tools and data sources.
  • •Create and maintain knowledge-base pipelines that collect, structure, and keep content current for accurate AI outputs.
  • •Build user-facing tooling and interfaces where needed, integrating backend services and ensuring reliability and observability.
  • •Instrument solutions with adoption, quality, and cost metrics; gather feedback, improve based on friction points, and participate in incident response and RCA.

Key Requirements

  • •3+ years of professional engineering experience.
  • •Experience building and operating production systems end-to-end (services, APIs, or tooling).
  • •Hands-on experience building with LLMs (features, agents, automations, or production-quality side projects).
  • •Understanding of system design, databases/data modelling, and application architecture.
  • •Proficiency in Python and/or TypeScript.
Experience:3+ years
Skills:Problem-solvingCollaborationUser-centric mindset
Tech Stack:PythonTypeScriptLLMSQLAWSDockerKubernetes

Company Brief

Kpler
Provides real-time commodity, shipping and trade intelligence combining satellite, AIS, customs and market data to deliver analytics for energy, dry bulk, petrochemicals, metals and agricultural markets, enabling trading, risk management and market transparency.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Paris, France
Founded: 2014
WebsiteLinkedIn