Job Summary
- Position: Senior AI Engineer
- Employment Type: Contract
- Contract Duration: 1 Year (extendable)
- Location: Mandaluyong
- Work Setup: Hybrid (3x a week onsite)
- Work Schedule: Manila Time (8:00 AM–5:00 PM)
Key Responsibilities
The role focuses on designing, developing, deploying, and operating enterprise-grade AI solutions.
Key areas include:
- Technical leadership and solution architecture
- Backend development using Python and/or .NET
- Enterprise API and system integrations
- AWS cloud engineering
- Generative AI and RAG application development
- AI agent development
- Security (Wiz, Snyk, secure SDLC)
- Observability using Datadog
- CI/CD and DevSecOps
- Production support and mentoring engineers
Required Skills
The ideal candidate should have experience with:
- Python (production-grade applications)
- .NET (preferred alongside Python)
- AWS (Lambda, ECS, EKS, API Gateway, S3, RDS, Bedrock, EventBridge, SQS, SNS, Step Functions)
- REST APIs and microservices
- Docker, ECS/EKS
- Terraform
- Generative AI
- Retrieval-Augmented Generation (RAG)
- LLMs and AI agents
- Vector databases
- Datadog
- Wiz and Snyk
- CI/CD pipelines
- Distributed systems
- Enterprise software architecture
Preferred Experience
- AI in regulated or financial environments
- Amazon Bedrock
- AI governance and Responsible AI
- LLMOps/MLOps
- Infrastructure as Code
- Enterprise identity and RBAC
- Relevant cloud or AI certifications
Core Competencies
- Advanced Python/.NET engineering
- AWS cloud architecture
- Enterprise integration
- Generative AI
- Secure software development
- Technical leadership
- Architecture and design
- Problem solving
- Stakeholder communication
Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
