We are looking for an entry-level AI/ML Engineer to join our delivery team on a 12-month fixed-term contract. This role is built for someone at the beginning of their career who is hungry to grow fast, contribute immediately, and develop under direct mentorship - not someone who already has all the answers, but someone who is serious about finding them.
This is not a support role. You will be a core contributor on live, production-grade AI systems serving government and institutional clients across the Philippines. You will be expected to operate with a high degree of autonomy, make sound technical decisions, and flag problems early.
This contract is co-terminus with an active client engagement. Strong performance creates a clear path to a permanent role as AImagineers scales.
Pay
Monthly compensation package: PHP 30,000 to 50,000. Placement within the range is based on our technical assessment.
What you will do
- Design, build, and maintain AI-powered features and services on production systems used by real end-users across government and institutional settings
- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines, vector search architectures, and LLM integrations using Python and FastAPI
- Build and maintain backend APIs and data pipelines that power AI features across multiple client platforms
- Contribute to frontend interfaces using React and Vite where AI features surface to users
- Collaborate directly with the Founder & CEO on architecture decisions, client deliverables, and sprint priorities
- Participate in requirements gathering, technical scoping, and solution design for new and ongoing client engagements
- Write clean, documented, testable code that other engineers can maintain and extend
- Contribute to internal tooling, infrastructure, and the continuous improvement of our delivery process
- Take on whatever needs doing - in a small studio, the best engineers don't wait for their lane to be drawn
Core requirements
- Solid Python fundamentals - you write clean, readable, working code and you know why it works
- Hands-on experience with FastAPI or Django for building backend APIs - even if limited, it has to be real
- Working knowledge of RAG concepts, vector databases (e.g. pgvector, Pinecone, Weaviate), and embedding pipelines
- Exposure to LLM APIs (OpenAI, Anthropic, or open-source models) and a genuine curiosity about how they behave
- Frontend exposure with React and Vite - you don't need to be a designer, but you can build functional, clean UIs
- Familiarity with Git, Docker, and working in a Linux-based development environment
Strong signals we look for
- You have shipped something real - not a tutorial clone or a classroom exercise, but something you conceived, built, and put in front of actual users
- Your portfolio shows evidence of thinking beyond the assignment: you asked why the problem exists, considered who would use it, and made decisions that reflect that understanding
- You can read a poorly defined requirement and ask the right clarifying questions before writing a single line of code
- You understand why RAG exists, what its failure modes are, and how to think about retrieval quality
- You are comfortable with ambiguity and do not need a detailed spec to start moving
- You communicate problems early and solutions clearly
Good to have
- Experience with prompt engineering, structured output design, or LLM evaluation frameworks
- Exposure to k3s, Kubernetes, or containerized deployment environments
- Experience working with PostgreSQL and pgvector
- Background in agriculture, public health, or government systems
- Exposure to fine-tuning workflows or open-source model deployment
Compensation & Benefits
- Competitive entry-level compensation with full statutory benefits (SSS, PhilHealth, HDMF, 13th month)
- Internet and meal allowances
- Hybrid work setup - we trust you to manage your time and your environment
Growth & Development
- Structured mentoring from the Founder & CEO - direct, regular, and grounded in real delivery
- Mandatory learning as part of your role - courses, certifications, conferences, or deep dives into emerging techniques
- Access to a curated learning environment - work alongside AI tools daily and understand them deeply
- The kind of exposure that takes most engineers years to find: architecture decisions, client conversations, live systems under real constraints
Opportunity & Trajectory
- Direct access to the Founder & CEO - no middle management, no approval chains
- Real work on real systems - your code will be used by professionals serving the Philippine public
- A clear path to a permanent role for the right person
- Grow with a studio building AI infrastructure for Philippine public institutions at a pivotal moment