Technical AI Engineer - Marketing, Commerce & Product - PH PDC
Tasks
- Add metadata filters
- Add tracing observability
- Apply cloud native services
- Architect and deploy AI solutions
- Automate model evaluation and testing
- Build containerized deployments
- Configure chunking and hybrid search
- Develop generative and agentic AI solutions
- Embed SDLC security and privacy controls
- Engineer end to end AI project deliverables
- Ground models with retrieval sources
- Implement LLMOps workflows
- Implement feedback loops
- Implement infrastructure-as-code
- Implement retrieval-augmented generation
- Manage prompt versioning
- Optimize cost and latency
- Perform safety red teaming
- Productionize models and pipelines
- Set up CI/CD pipelines
Perks/Benefits
- Health insurance
- Hybrid work
- Life insurance
- Mentoring and coaching
- Paid time off
- Training and development
Skills/Tech-stack
Agentic AI | Amazon Web Services | CI/CD | Cloud Computing | Cloud platform | Containerization | DeepEval | Docker | Generative AI | Go | Google Cloud | Google Cloud Platform | Hybrid search | Infrastructure as Code | JavaScript | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Metadata filtering | Microsoft Azure | Next.js | Observability | Podman | Prompt engineering | Prompt versioning | Promptfoo | Pydantic | Python | RAG | Ragas | React | Red Teaming | Retrieval strategies | Retrieval-Augmented Generation | Rust | Safety Red Teaming | Terraform | Testing | Tracing | TypeScript | Vector Databases | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Engineering in Information Technology | Bachelor of Science | Bachelor of Science in Software Engineering
Roles
AI Engineer | Consultant | Engineer | Senior Consultant | Technical AI Engineer
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