AI Engineering Jobs in Philippines
There are 142 open AI Engineering jobs in Philippines on freehire right now. 28 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Most requested skills
- ai 89%
- llm 60%
- python 54%
- api 51%
- cloud 48%
- agentic-ai 41%
- machine-learning 41%
- azure 36%
How the work is done
- Remote 25 · 18%
- Hybrid 9 · 6%
- Onsite 1 · 1%
Visa sponsorship offered in 0% of the 3 postings that state a position on it.
Seniority
- Senior 40
- Lead 5
- Junior 3
- Intern 2
- Principal 2
- C-level 1
Who is hiring
- 1000+ employees 17
- 501-1000 employees 11
- 51-200 employees 5
Software Engineer - Applied AI
Build AI agents and integrations that connect DevRev’s platform with customers’ tools using TypeScript, Python, and APIs; deploy serverless functions and optimize RAG pipelines for real-time workflow automation.
Senior Data AI Engineer
Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Senior Data & AI Engineer: Build Scalable Data Pipelines
Design and maintain scalable data pipelines and warehouses, ingesting data from multiple sources and ensuring quality for BI and analytics using Spark, Airflow, and dbt.
AI Engineer: LLMs, Data Pipelines & Personalization
Build and deploy AI solutions using LLMs, ML models, and data pipelines to generate healthcare insights, automate recruiting, and personalize user experiences.
AI Software Engineer
Build and maintain enterprise software using .NET/C# and AI-driven workflows with tools like Claude Code and Copilot CLI, delivering tested solutions in a collaborative team.
Remote Principal Backend Engineer—AI & LLM Integrations
Designs and builds scalable backend services, integrates LLM APIs, and leads AI-driven architectures for cloud applications in an Agile team.
Senior Backend Java Engineer - Remote | AI/LLM Ready
Designs and builds high-performance Java backend services using Spring Boot and Kafka, optimizing for concurrency and scalability in a fintech AI/LLM environment.
AI Software Engineer
Build and unit-test .NET/C# web services and UIs using agentic, spec-driven workflows with tools like Claude Code and GitHub SpecKit.
Senior Python Backend Engineer - LLM Tool Integrations
Senior Python engineer in Manila building backend APIs for LLM agent integrations, collaborating with AI teams to design reliable services using Docker and Kubernetes.
GenAI Backend Engineer (Hybrid) – Scale AI Systems
Build and optimize scalable backend services integrating LLMs into microservices to enhance customer interactions using Python, SQL/NoSQL, and event-driven architectures.
GenAI Backend Engineer (Node.js) – Hybrid
Builds and maintains Node.js-based backend services for a GenAI-driven insurance/financial-services product, occasionally pairing with React/Next.js for full-stack tasks.
AI Engineer
Design and build AI/ML models to solve real-world problems, using Python and frameworks like PyTorch or TensorFlow, while collaborating in a hybrid office setup.
AI Prompt Engineer
Designs, tests, and refines AI prompts to improve generative AI outputs for customer support, content generation, and automation across industries like healthcare, retail, and finance.
Senior AI Prompt Engineer
Designs, tests, and refines prompts for large language models to improve AI response quality and business outcomes across customer-service and automation use cases.
Principal Prompt Engineer
Lead AI prompt engineering at a global BPO/XaaS firm, designing and optimizing prompts for LLMs to improve enterprise AI solutions across industries like healthcare and finance.
Senior RAG Engineer
Design and optimize enterprise RAG platforms using vector databases and semantic search to power AI-driven knowledge systems and integrations with LLMs.
Senior Generative AI Engineer
Lead the design and implementation of enterprise-scale generative AI solutions using LLMs and prompt engineering, while mentoring teams and ensuring secure, compliant deployments.
RAG Engineer
Build Retrieval-Augmented Generation systems that combine LLMs with enterprise knowledge, designing vector search pipelines and document ingestion to deliver accurate, context-aware AI responses.