Hendricks Corp Pte Ltd Hiring! Full Time Mid AI Engineer in - Ricebowl

Mid AI Engineer

Hendricks Corp Pte Ltd — Singapore (HQ)

LEVEL

Mid

EXPERIENCE

2+ years, hands-on

LOCATION

Singapore — Office-based (full-time onsite)

SALARY

Competitive, based on experience

REPORTS TO

Senior AI Engineer, Lead AI Engineer and CTO

TEAM

AI Engineering — Singapore HQ

Company Description

Hendricks Corp Pte Ltd is a Singapore-headquartered company building AI-powered video analytics and applied data intelligence platforms. Our systems are used by clients across Government, Security, Entertainment, and Hospitality who need real, working AI in production — not a proof of concept.

Our AI Engineering team is anchored here at HQ in Singapore, working closely with our engineering pods in Jakarta and Bangalore. This is a build-first culture: we hire engineers who ship, own their work end-to-end, and can defend every design decision they make.

The Role

We're hiring a Mid-level AI Engineer to join our AI Engineering team at Hendricks Corp HQ in Singapore, working alongside our Senior AI Engineer and reporting into our Lead AI Engineer and CTO. This is a hands-on execution role: you'll be writing code, training models, building pipelines, and shipping features — with guidance, but with a real expectation that you build, not just assist.

We're looking for someone with real, hands-on delivery experience — not just theoretical knowledge or a well-rehearsed interview answer. Shortlisted candidates will go through a face-to-face technical assessment as part of our hiring process.

Responsibilities

1.  Data Pipelines: Collect, clean, label, and prepare image, video, and structured data for model training and evaluation.

2.  Model Development: Implement, train, and evaluate machine learning and computer vision models under the guidance of the Senior AI Engineer — detection, classification, recognition, or similar tasks.

3.  Feature Ownership: Contribute to building end-to-end products or features — not just isolated model components — working across data, model, and integration layers under the Senior AI Engineer's guidance, so your work ships as something usable, not just a working notebook.

4.  GenAI/LLM Support: Support integration of GenAI/LLM components — calling LLM APIs, building RAG setups, prompt engineering — into internal tools or product features.

5.  Engineering Discipline: Write clean, tested, documented code and contribute to shared repositories — production code, not throwaway notebooks.

6.  Deployment Support: Assist in deploying models to staging and production environments, and monitor performance metrics.

7.  Debugging: Investigate data and model issues with genuine effort before escalating — show your working, not just the symptom.

8.  Team Participation: Take part in code reviews, sprint planning, and technical discussions with the wider AI team across Singapore, Jakarta, and Bangalore.

9.  Continuous Learning: Keep up with computer vision and applied GenAI techniques, and bring new ideas back to the team.

Requirements — What You Must Be Able to Show

We care about what you've actually built and can explain, not buzzwords on a resume. Be ready to walk us through real work in the technical assessment.

•    Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or a related quantitative field.

•    Minimum 2 years of hands-on experience building or shipping machine learning or computer vision systems in a real engineering environment.

•    Evidence of real work you can show and explain: shipped features, GitHub repositories, or production contributions — not just coursework.

•    Some experience contributing to an end-to-end product or feature (school, internship, or professional) — spanning more than just a model in isolation — is a strong plus.

•    Solid Python fundamentals and a working grasp of data structures and algorithms; exposure to C/C++ is a plus — our current flagship system (DriveThru) is built in C++ and is being migrated to Python, so familiarity with both is useful.

•    Strong logical thinking and structured problem-solving — able to break a problem down methodically, not just recall a memorised answer.

•    Working knowledge of at least one ML/DL framework (PyTorch, TensorFlow, or scikit-learn), demonstrated through real projects — not tutorials followed and forgotten.

•    Real, hands-on computer vision experience is required — professional projects, internships, or strong personal/open-source work, as long as you can explain what you built, how, and why.

•    Exposure to GenAI/LLM tools (OpenAI/Anthropic APIs, LangChain, vector databases) is a strong plus.

•    Exposure to edge/embedded AI deployment is a strong plus — e.g. NVIDIA Jetson Nano or similar small-footprint hardware, NVIDIA DeepStream SDK, or model optimisation techniques (pruning, quantisation).

•    A genuine problem-solving mindset — able to explain your reasoning and trade-offs, not just recite definitions.

•    Good communication skills; comfortable asking for help after making a real attempt to solve the problem yourself first.

•    Willing to work full-time from our Singapore office and collaborate closely with our Lead AI Engineer, CTO, and cross-border teams in Jakarta and Bangalore.

What We're Not Looking For

Candidates who can talk fluently about AI concepts in interviews but have never actually trained, debugged, or shipped anything real. If you can't show us something you built and defend how it works, this role isn't the right fit.

Hiring Process

•    CV and portfolio/project screening.

•    Face-to-face technical assessment for shortlisted candidates — expect to walk through your own project work and solve a live technical problem.

•    Final conversation with the Senior AI Engineer, Lead AI Engineer, and CTO.

Benefits

•    Competitive salary, based on experience.

•    Direct mentorship from senior engineers and the CTO, with real hands-on project exposure from day one.

•    Genuine ownership of shippable work, not busywork — you'll see your code in production.