Cloud (Gen AI) Developer - Marketing, Commerce & Product - PH PDC
Tasks
- Add tracing observability
- Apply metadata filters
- Architect and deploy AI solutions
- Automate model evaluation
- Build end to end generative ai solutions
- Chunk documents
- Collaborate with cross-functional teams on technical requirements
- Containerize applications
- Deploy to cloud native services
- Develop sprint deliverables for generative and agentic AI
- Embed security privacy and responsible AI controls
- Ground answers
- Implement CI/CD
- Implement LLMOps pipelines
- Implement feedback loops
- Implement hybrid search
- Implement retrieval strategies for RAG
- Improve reliability and factuality
- Manage prompt versioning
- Optimize cost and latency
- Perform safety red teaming
- Productionize models and pipelines
- Set up offline and online testing
- Support junior engineers
- Use infrastructure as code
Perks/Benefits
- Health insurance
- Hybrid work
- Life insurance
- Mentoring and coaching
- Paid time off
- Training and development
Skills/Tech-stack
AWS | Agentic AI | Automated testing | Azure | CI/CD | Chunking | Cloud Computing | Containerization | Cost Optimization | DeepEval | Docker | GCP | Generative AI | Hybrid search | Infrastructure as Code | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Latency optimization | Linux | MacOS | Metadata filtering | Model Evaluation | Next.js | Observability | Podman | Prompt engineering | Prompt versioning | Promptfoo | Pydantic | Python | RAG | Ragas | React | Red Teaming | Retrieval-Augmented Generation | Safety Red Teaming | Terraform | Terraform CDK | Tracing | TypeScript | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Information Technology | Bachelor of Science in Software Engineering
Roles
AI Engineer | Cloud Developer | Cloud) | Developer | Engineer | Generative AI Engineer
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