AI Systems Engineer

Hadl.ai; Jakarta Pusat; On-site; IDR 133,920,000 - 446,400,000; Full time

Benefits offered by this job

Equity participation

Job summary

Hadl.ai in Jakarta (Kuningan) is building the AI layer for seafood supply-chain operations. You will develop and own agents that monitor data, emails and documents, flag issues to the right person and draft actions for approval.

This hands-on role requires writing code, shipping agents, and solving problems as part of a small team of senior builders. Each agent has evaluation sets, a known error rate, and a defined cost.

Qualifications

• 2+ years of software or ML engineering experience in production.
• Experience building multi-step agents: prompting, tool use, retrieval, structured output and human approval steps.
• Experience evaluating AI systems: test sets, error metrics, review loops and regression checks.
• Experience processing unstructured business data with LLMs: email, documents or transcripts.

Responsibilities

• Turn business problems into AI use cases with clear success measures.
• Build multi-step agents that monitor operations, flag risks and draft follow-ups for approval.
• Process email, documents and meeting records with LLMs: extraction, summaries and commitments logged for follow-up.
• Set up evaluation for every agent (test sets, error and approval rates, human review loops and regression checks) before it goes live.
• Build and run the AI infrastructure: model serving, LLM providers, vector stores and pipelines.
• Track quality, drift and cost in production, and report AI cost per use case.
• Connect agents to forecasts and data where they drive actions.
• Mentor and learn alongside passionate colleagues.

Skills

Python

English

Tools

TypeScript

Go

SQL

Job description

Hadl is an AI lab building the future data products and services for biology, manufacturing and aquaculture. We build agentic systems, data and diagnostic tools for our industry partners, working with the leading companies in our industries of focus to change the fabric of how work and decisions are made tomorrow.

Our team are engineers, industry experts, computer vision scientists and data passionate people, with cornerstone products that help farmers, processors, and companies building technology at the edge of the frontier.

Our work sits at the intersection of biology, data, and real world operations. We move fast, test often, and focus on practical impact. You will work closely with engineers, biologists, and product teams to turn complex data into reliable systems.

We collaborate openly, learn continuously, and value ownership. No rigid hierarchies. Curious people solving hard problems together.

About the Role

We are building the future of seafood supply chains with an industry-leading seafood company. You will be developing and owning the AI layer: agents that watch operational data, email and documents, flag issues to the right person and draft actions for people to approve.

This is a hands-on role. You will write code, ship agents and problem solve, as one of a small team of senior builders. Agents propose and people approve until the error rate is proven, then we automate. Every agent you ship has an evaluation set, a measured error rate and a known cost.

What You'll Do

• Turn business problems into AI use cases with clear success measures.
• Build multi-step agents that monitor operations, flag risks and draft follow-ups for approval.
• Process email, documents and meeting records with LLMs: extraction, summaries and commitments logged for follow-up.
• Set up evaluation for every agent (test sets, error and approval rates, human review loops and regression checks) before it goes live.
• Build and run the AI infrastructure: model serving, LLM providers, vector stores and pipelines.
• Track quality, drift and cost in production, and report AI cost per use case.
• Connect agents to forecasts and data where they drive actions.
• Mentor and learn alongside passionate colleagues.

What We're Looking For

• 2+ years of software or ML engineering, including agentic workflows running in production.
• Experience building multi-step agents: prompting, tool use, retrieval, structured output and human approval steps.
• Experience evaluating AI systems: test sets, error metrics, review loops and regression checks.
• Experience processing unstructured business data with LLMs: email, documents or transcripts.
• Strong Python, plus working SQL and a backend language such as TypeScript or Go.
• Experience running AI infrastructure in production, with cost and latency under control.
• Responsible handling of sensitive business data: access control, data separation and personal data.
• Fluent written and spoken English, and able to explain what a model can and can't do to non-technical users.
• Able to work from Surabaya for up to 2 weeks in every 6.

Nice to Have

• Forecasting or predictive models on business data.
• MLOps: model and prompt versioning, drift monitoring.
• Experience in supply chain, logistics or retail.
• Open-source or self-hosted models.

What We Offer

• Ownership of the AI layer of a new platform, from prototype to production.
• Real operational data and users who give feedback the same day.
• The latest AI models and tooling to build with.
• Fast iteration and learning cycles.
• Equity participation for the right candidate.

Salary: 12 to 40 million IDR per month

Equity: Available

Role: Full time

• Location: Kuningan, Jakarta, with up to 2 weeks in Surabaya every 6 weeks (travel and accommodation covered)