AI Engineer

Finago; Kuala Lumpur; Hybrid; MYR 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work setup

Healthcare coverage (including family)

Monthly allowance

Wellness perks

Job summary

Finago in Kuala Lumpur is seeking an AI Engineer to design, build and operate GenAI-powered features in our core products, from LLM-based assistants to retrieval augmented generation. This is a hands-on, end-to-end role with accountability for production performance and reliability.

You will join Finago's AI organization, collaborating with AI Engineers, Data Scientists, and Developers across Nordic offices to solve real problems and share knowledge.

Qualifications

• Proven production GenAI experience: designed, built and shipped at least one LLM/GenAI-based product or feature to production with real users, and supported it after launch.
• 5+ years of software engineering experience in backend, data or ML engineering, or similar roles.
• Strong Python and solid engineering practices: testing, code review, CI/CD and maintainable services.
• Hands-on experience with core GenAI patterns such as RAG, prompt and context engineering, tool calling and agentic workflows.
• Evaluation and operations know-how: you have built evals, dealt with hallucinations, latency and cost, and monitored LLM features in production.
• Fluent English, as you’ll work daily with colleagues across the Nordics

Responsibilities

• Designing, building and shipping LLM-powered features such as assistants, agents, retrieval augmented generation (RAG) and document understanding into our core products.
• Turning prototypes into production‑grade services with robust APIs, error handling, as well as latency and cost under control.
• Building evaluation pipelines, test sets and guardrails so we know a feature works before and after release.
• Monitoring and improving GenAI features in production using tracing, telemetry and customer feedback.
• Identifying where automation and intelligent features bring real customer value, and validating ideas early.
• Improving and extending the data and engineering foundations behind our AI solutions.

Skills

Python

REST APIs

LangChain

Databricks

Azure

SQL

GitHub

Tools

Python

REST APIs

LangChain

Databricks

Azure

SQL

GitHub

Job description

Do you thrive on building intelligent AI products, turning emerging GenAI technologies into real customer value, and shaping the future of products used by thousands of people every day?

At Finago, we’re setting a new standard for financial and human resources software. Our mission? To become the most customer‑centric business software company out there. To support our ambitious growth, we’re now looking for AI Engineers to join our Kuala Lumpur office and help us shape software used by thousands of customers every day.

Your mission?

Our software is a critical infrastructure for small and medium businesses across the Nordics. Every time we automate a routine task or surface the right information at the right moment, a business owner gets time back and a clearer view of their operations. AI playsa central rolein this transformation. Not as a novelty, but as a practical way to remove repetitive work and support better decisions.

As an AI Engineer, you will design, build and operate GenAI-powered capabilities in our core products, from LLM-based assistants and agentic workflows to retrieval over financial and HR data. This is a hands‑on, end‑to‑end role where ideas move quickly from prototype to production, and you stay accountable for how they perform once real customers rely on them. We’re looking for someone who has already done this: shipped GenAI to production and kept it running well.

Your key tasks and responsibilities include:

• Designing, building and shipping LLM-powered features such as assistants, agents, retrieval augmented generation (RAG) and document understanding into our core products.
• Turning prototypes into production‑grade services with robust APIs, error handling, as well as latency and cost under control.
• Building evaluation pipelines, test sets and guardrails so we know a feature works before and after release.
• Monitoring and improving GenAI features in production using tracing, telemetry and customer feedback.
• Identifying where automation and intelligent features bring real customer value, and validating ideas early.
• Improving and extending the data and engineering foundations behind our AI solutions.

You will get to join our growing 50 person Finago KL team and work in our AI organization across Finago's Nordic offices in collaboration with other AI Engineers, Data Scientists, and Developers who enjoy solving real problems and sharing knowledge. This is a full‑time and permanent position, and the preferred start date is in February, 2027.

“Working at Finago has been a really positive experience for me. The company truly respects work‑life balance through hybrid work and flexible hours. There is a strong culture of trust with no micromanaging, along with great support from my manager and colleagues. I’ve also really enjoyed the exposure to Nordic work culture. Overall, this is a motivating place to build a long‑term career.”- Bong Kang Zheng, Senior Software Developer

Ready to make an impact?

You’ll thrive in this role if you enjoy solving practical customer problems and know from experience what it takes to make GenAI reliable outside a demo. You treat LLMs as engineering components: you measure, test and iterate rather than trusting impressive first outputs. You take ownership of what you build, drive things forward independently, and communicate clearly with both technical and non‑technical stakeholders.

What we require from you:

• Proven production GenAI experience: you have designed, built and shipped at least one LLM/GenAI‑based product or feature to production with real users, and supported it after launch.
• 5+ years of software engineering experience in backend, data or ML engineering, or similar roles.
• Strong Python and solid engineering practices: testing, code review, CI/CD and maintainable services.
• Hands‑on experience with core GenAI patterns such as RAG, prompt and context engineering, tool calling and agentic workflows.
• Evaluation and operations know‑how: you have built evals, dealt with hallucinations, latency and cost, and monitored LLM features in production.
• Fluent English, as you’ll work daily with colleagues across the Nordics

It’s a plus if you have experience with fine‑tuning or classical ML, with financial or HR data, or with building B2B SaaS products.

This roleisn’ttied to specific technologies, but we want you to know the toolsyou’llencounter:

• Pythonas our main language
• REST APIsfor integrating AI capabilities into our products and services
• LangChainand modern LLM tooling for building intelligent applications
• Databricksfor pipelines, experimentation, and model development
• Azurefor cloud infrastructure and operations
• SQLas part of our data foundation
• GitHubfor collaboration and CI/CD

You don’t need experience with every tool on this list. What matters is that you have taken GenAI to production and bring solid engineering judgment.

What’s in it for you?

Experience Nordic work culture: Be part of a low‑hierarchy, high‑trust environment where autonomy, transparency, and work‑life balance are truly practiced, not just promised. You can enjoy flexitime with a 40‑hour work week and a hybrid setup, currently three days in the office and two days working from home.

Feel supported in and out of work: Benefit from comprehensive healthcare coverage including specialist care and family coverage, a monthly allowance, and wellness perks such as recreational club activities that support your wellbeing beyond work.

Make a meaningful impact: Every day, tens of thousands of customers rely on us to keep their businesses running. And we show up—not only for our customers, but for the planet. According to the EcoVadis assessment, we are among the top 5% of the world’s most sustainable companies.

Make a meaningful impact: Every day, tens of thousands of customers rely on us to keep their businesses running. We show up not only for our customers, but also for the planet, and we are proud to be ranked in the top 15% of the most sustainable companies in the world.

This role is based in Kuala Lumpur, Malaysia and is open to Malaysian citizens and permanent residents, as required by local work visa and compliance regulations.