---
title: 'Engineer II (AI Enablement) at Kpler'
canonical: 'https://feeny.ai/job/engineer-ii-ai-enablement-kpler-singapore-gn65fsjccj2t'
type: 'job'
last_seen: '2026-09-07'
---

# Engineer II (AI Enablement) at Kpler

- **Company:** Kpler
- **Location:** Singapore
- **Work type:** hybrid
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/kpler/e914f4a8-2a6a-41d1-9c0a-51fdd23a5e75

## Job description

As an Engineer II on Kpler's new AI Enablement crew, you will build the tools, agents, and integrations that help every function in the company work with AI at scale. As a strong individual contributor, you will be responsible for the entire lifecycle of features and projects - breaking down problems, owning them from design through production operation, and coordinating with others where the work spans more than one person. The work is varied and hands-on: building and tailoring AI agents and assistants for internal teams, curating the knowledge bases they rely on, integrating them safely with company systems, and building the interfaces and tooling around them. You will work alongside a senior engineer and a lead who will support your growth in a fast-moving, high-visibility area of the company. To begin with, the emphasis will be on delivering Kpler's company-wide AI adoption plan; your areas of focus will shift over time with the crew's priorities

## Key Responsibilities

- Build, tailor, and operate AI agents and assistants for internal functions, owning features end-to-end from design through deployment and production operation (including testing and CI/CD).

- Build and maintain knowledge-base pipelines: collecting, structuring, and keeping current the content that AI systems rely on to be accurate and useful.

- Integrate AI systems with company tools and data sources through well-structured, safe APIs and connectors.

- Apply the crew's security guardrails and responsible-AI practices: access control, data privacy, and human-in-the-loop safeguards.

- Build user-facing tooling and interfaces where the work calls for it, spanning UIs and the backend services behind them.

- Instrument what you ship: adoption, quality, and cost metrics that show whether a solution is working.

- Gather feedback from internal users, identify friction points, and turn them into concrete improvements.

- Keep owned systems reliable, observable, and maintainable; participate in incident response and RCA for owned services.

- Provide context and clarity through documentation and runbooks so others understand what's built and why.

- Contribute to the crew's shared frameworks and to AI-assisted engineering practices a

## Experience & Background

Essential:

- 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 serious side projects with production-quality practices).

- Understanding of system design, databases/data modelling, and application architecture.

- Familiarity with cloud infrastructure and CI/CD pipelines.
- Strong problem-solving and collaboration skills, with a user-centric mindset.
- Proficiency in Python and/or TypeScript.
- LLM application development: model APIs, prompt/context engineering, basic RAG patterns.
- API design and data integration across multiple systems and sources.
- Database design, SQL, and data modelling.
- Familiarity with cloud services (AWS preferred), containerisation (Docker/Kubernetes), and CI/CD practices.

Desirable:

- Experience with agent frameworks, MCP-style tool interfaces, RAG, or knowledge-base systems.

- Experience integrating third-party SaaS APIs.

- Full-stack experience — building web UIs as well as their supporting backend services.

- Experience building internal or developer-facing tools.

- Exposure to LLM evaluation, observability, or prompt/context engineering.

## About Kpler

## Company Overview
- **One-liner**: Kpler is a data and analytics platform providing real-time intelligence on global commodity flows, vessel movements, and physical trade.
- **Entity Type**: Private (PE-backed; primarily founder- and employee-owned)
- **Headquarters**: Brussels, Belgium
- **Founded**: 2014
- **Founders**: Two engineers (names not publicly listed) who started the company in a kitchen

## Core Business
- **Primary industry**: Maritime and commodity trade intelligence; data & analytics (classified as Technology, Information and Media)
- **Target customers**: B2B — commodity traders, analysts, shipping professionals, energy companies, supply chain operators, and financial institutions across 40+ markets (liquids, gas, dry bulk, freight, power)
- **Mission**: "Serve as the definitive intelligence platform for global physical trade, driving real-time decisions"

## Products & Services
- **Kpler Platform**: Subscription-based real-time cargo tracking and commodity flow analytics covering 40+ markets, including vessel movements, volumes, product grades, buyers/sellers, and forecasted destinations.
- **MarineTraffic**: World's leading ship tracking and maritime intelligence provider, acquired as a Kpler brand.
- **Inbox**: Collaborative communication platform designed specifically for the maritime and global supply chain industry.
- **Kpler APIs & Data Integrations**: Developer portal for embedding trade-flow and maritime data into applications, plus an Excel Add-In, Cloud DB, and Snowflake-native data solutions.
- **Kpler MCP (Beta)**: Model Context Protocol integration that lets large language models translate plain-language requests into precise API calls, returning answers as narrative, charts, or CSV.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$201.6M** across funding rounds, most recently a Private Equity round (April 2022) led by Insight Partners and Five Arrows Growth Capital, followed by a secondary market round (June 2026) led by Sixth Street.
- **Annual Revenue**: LinkedIn's data provider reports **EUR 6.7M** — this figure appears significantly understated relative to the company's scale (850+ employees, profitable since launch) and should be treated as an unreliable estimate.
- **Notable Investors/Partners**: Insight Partners, Five Arrows Growth Capital, Sixth Street
- **Growth Signals**:
  - Headcount grew **+22.1% YoY** (data provider reports 599 employees; company site reports 850+ employees and 69 nationalities)
  - Acquisitions: **FleetMon** (March 2023) and **COR-e** (September 2022), plus MarineTraffic
  - **54 active job postings**; job postings up **+116% YoY**
  - Expanding into power markets with dedicated Data Engineer and ML Engineer roles
  - Processes **1.3bn+ AIS signals per day** with a global network of agents and experts

## Competitive Advantages
- **Proprietary datasets**: 1.3bn+ AIS signals per day and 245k–255k+ tracked assets/experts create a defensible data moat.
- **First-mover in LNG**: Revolutionized the LNG market with the first cargo-tracking solution in 2014.
- **Profitable from the start**: Remains primarily owned by founders and team members, allowing long-term product focus.
- **Global footprint**: Operations in 10+ countries with workforce distributed across 34+ countries, providing on-the-ground intelligence and 24/7 coverage.
- **Brand portfolio**: MarineTraffic and FleetMon extend reach across maritime and supply chain segments.

## Strategic Focus
- Building a "singular platform for global trade intelligence" that consolidates commodities, freight, and maritime data.
- Expanding into **power markets** and adjacent commodity verticals.
- Investing in **AI/ML capabilities**, including the MCP beta for LLM-driven data access and ML engineering hires.
- Deepening **data integrations** (APIs, Snowflake, Cloud DB, Excel) to embed Kpler data into customer workflows.

## Why Work Here
- **Flexibility**: Hybrid, fully remote, or on-site options; employees can work from central office spaces, sponsored co-working hubs, or fully remote.
- **Perks**: WFH monthly allowance for electricity and wi-fi, top-of-range office equipment and setup budget, health insurance coverage.
- **Leave**: Global maternity, parental, medical, festival, and compassionate leave policies.
- **Culture**: 69 nationalities across the company; regular online and on-site social events; described as "globally minded, flexibility-driven, and innovation-fueled."
- **Employer rating**: 3.7/5 from 158 reviews on LinkedIn — Work-Life 3.7, Compensation 3.7, Culture 3.2, Career 3.5.
- **Salary benchmarks** (from LinkedIn data): Account Manager ~$99,343/yr, Account Executive ~$111,985/yr, Data Engineer ~€60,000/yr.
- **Talent pool**: Frequently hires from competitors and adjacent data providers including MarineTraffic, Spire, Wood Mackenzie, S&P Global, Argus Media, and Bloomberg.

## Sources
1. [kpler.com — Careers](https://www.kpler.com/company/careers)
2. [kpler.com — About Us](https://www.kpler.com/company/about-us)
3. [linkedin.com — Kpler](https://www.linkedin.com/company/kpler)
4. [jobs.lever.co — Kpler](https://jobs.lever.co/kpler)
5. [kpler.com — Homepage](https://www.kpler.com/?r=0)

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