AI Platform Engineer Business Applications
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You will build and own the AI data foundation for scalable AI and GenAI use cases. You will design and implement RAG pipelines, optimize embedding and vector-indexing strategies, and build batch and real-time data ingestion pipelines for structured and unstructured sources. You will develop scalable Python services and APIs, integrate enterprise systems, enforce data-governance controls, and operate cloud-native services with logging, monitoring, and AI observability. You will collaborate across functions to maintain quality throughout the software development lifecycle.
Responsibilities
- Design and implement RAG pipelines, including retrieval, ranking, and context injection
- Optimize embedding strategies and vector indexing
- Build real-time and batch data ingestion pipelines for structured and unstructured sources
- Develop scalable services using Python, APIs, and microservices architecture
- Integrate services with enterprise systems, including CRM, knowledge bases, and data lakes
- Enforce data access policies, mask sensitive information, and ensure compliance standards
- Ensure traceability and auditability of AI outputs
- Deploy and operate cloud-native services with logging, monitoring, and AI observability
- Work with cross-functional teams to ensure quality throughout the software development lifecycle
- Improve retrieval accuracy and response quality of AI-driven systems
- Build reusable, modular platform components that promote standardization
Requirements
- 3 to 5 years of software AI development experience
- Experience with AI development practices and design patterns
- Expertise using Python, FastAPI, PyTest, Celery, and other Python frameworks
- Familiarity with AI/ML, GenAI, and MLOps concepts
- Hands-on experience with object-oriented programming, concurrency, design patterns, and REST APIs
- Hands-on experience with RAG and vector databases
- Familiarity with Kubernetes, Terraform, and GitHub Actions
- Working knowledge of logging, monitoring, and AI observability practices
- Experience with AWS, Microsoft Azure, or GCP
- Bachelor's degree in engineering or equivalent