AI Platform Engineer – LLM, Agentic Systems
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Job Description
AI Platform Engineer developing a hybrid Agentic AI Platform across AWS and multi-cloud environments. Focused on designing workflows and implementing AI-driven solutions.
Responsibilities:
- Design and build agentic workflows and orchestration systems
- Implement RAG pipelines (retrieval, embeddings, context building)
- Integrate LLMs (hosted/private) into enterprise workflows
- Build QA scoring, evaluation, and feedback loops
- Optimize prompts, latency, and response quality
- Ensure secure data handling (no-retention, in-memory processing)
- Collaborate with platform and FDE teams for real-world deployments
Requirements:
- 4–10 years experience
- Strong Python programming
- Hands-on experience with LLMs / GenAI systems
- Deep understanding of RAG, embeddings, vector databases
- Experience with APIs and distributed systems
- Familiarity with AWS (Bedrock, Lambda, S3, etc.)
Benefits:
- Comprehensive benefits packages
- Competitive industry salaries
- Wellness programs
- Positive impact on the community
- Encouragement of internal mobility and professional growth
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