Senior AI Systems Engineer: LLM Integrations & RAG Delivery

Photon; Belgique; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Photon seeks an experienced software engineering lead to own end-to-end delivery of LLM-powered applications, including SDK patterns, API integrations, RAG architectures, and guardrails in a regulated financial-services context.

You will set standards for prompt engineering, manage a remote offshore team, and ensure latency, observability, and cost discipline while shipping reliable AI features on schedule.

Qualifications

• 6+ years in software engineering with 2+ years leading end-to-end LLM/AI delivery.
• Proven track record shipping AI features on committed timelines with hands-on troubleshooting.
• Strong Python skills at architectural level.
• Experience architecting LLM API integrations and SDK abstractions across providers.
• Judgment on model selection considering cost, latency and capability trade-offs.
• Deep expertise in prompt engineering and context window management at scale.
• Experience with RAG systems, vector databases, and knowledgebase design.
• Experience designing AI agents/multi-agent patterns and tool-use architectures.
• Strong understanding of guardrails, safety, PII, and compliance in AI outputs.
• Experience defining evaluation frameworks and integrating AI testing into CI/CD.
• Proven ability to design for latency, observability, and cost in production AI systems.
• Financial-services or regulated-industry exposure preferred.
• Strong stakeholder communication and offshore team management skills.
• Bachelor's degree required.

Responsabilités

• Own delivery of LLM API integration and SDK patterns used across applications.
• Define standards for advanced prompt engineering and context window management.
• Own delivery of RAG systems, including vector database topology and knowledgebase design.
• Drive delivery of AI agent and multi-agent patterns and tool-use integration.
• Own guardrails delivery for safety, compliance, and PII handling in prompts/outputs.
• Define evaluation frameworks and real-time eval strategy; set CI/CD AI testing standards.
• Own latency profiling, observability, and cost tracking for LLM-backed systems.
• Run day-to-day offshore development team: standups, blocking, code/design reviews, and hands-on work on critical features.
• Report delivery status, risks, and blockers to engineering leadership.

Connaissances

LLM API integration

SDK architecture

Prompt engineering

Context window management

RAG systems design

Vector database design

AI latency optimization

Offshore team leadership

Formation

Bachelor's Degree

Outils

LangChain

LlamaIndex

Semantic Kernel

AWS Bedrock

MCP (Model Context Protocol)

LLM Gateways

Description du poste

Photon seeks an experienced software engineering lead to own end-to-end delivery of LLM-powered applications, including SDK patterns, API integrations, RAG architectures, and guardrails in a regulated financial-services context.

You will set standards for prompt engineering, manage a remote offshore team, and ensure latency, observability, and cost discipline while shipping reliable AI features on schedule.