oracle
Lead AI Engineer | Onsite - Delaware
Photon Group
USA
Onsite
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Key Responsibilities
- Own delivery of LLM API integration and SDK patterns used across applications.
- Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios.
- Define standards for advanced prompt engineering and context window management.
- Own delivery of RAG systems, including vector database selection/topology and knowledgebase design.
- Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns.
- Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) — critical in a financial-services context.
- Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD.
- Own latency profiling, AI observability, and cost tracking/management for LLM-backed systems.
- Run day-to-day delivery of the offshore development team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path AI features.
- Report delivery status, risks, and blockers to engineering leadership.
Must-Have Qualifications
- 6+ years in software engineering, with 2+ years as a tech lead owning end-to-end delivery of LLM/AI-powered systems (not a pure design/review architect role).
- Proven track record of shipping AI-powered features on committed timelines, including hands-on troubleshooting under delivery pressure.
- Strong, hands-on Python skills at an architectural/systems level.
- Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers.
- Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.
- Deep expertise in prompt engineering and context window management at scale.
- Proven design experience with RAG systems, including vector database architecture and knowledgebase design.
- Experience architecting AI agents/multi-agent systems and tool-use patterns (MCP or equivalent).
- Strong understanding of guardrails design — content safety, PII protection, compliance controls for AI outputs.
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