Architus
Fintech
SeniorGenAIEngineer
“Senior GenAI Engineer at Architus. Skills: Agentic systems, Python backend, AI Investigation Agent. Architect agentic systems. Build agentic systems”
Industry & Context.
Systems thinking; Problem-solving
What They're Looking For.
Must Have
Deep Python backend expertise, Track record of delivering production systems, Experience building agentic systems, Solid backend fundamentals, Daily user of agentic coding tools, Systems thinking, Problem-solving skills, Excellent communication skills, Collaboration skills
Nice to Have
Production experience with LangGraph, Production experience with Langfuse, Prior experience in Anti-Financial Crime, Deep curiosity to learn AML domain
What You'll Do.
Architect agentic systems
Build agentic systems
Own context engineering
Determine agent information
Structure agent information
Build evaluation frameworks
Build tracing infrastructure
Make agent development measurable
Make agent development iterative
Drive architectural decisions
Own backend engineering work
Ensure agent systems reliable
Ensure agent systems observable
Ensure agent systems production-ready
Partner with Data Science
Partner with Engineering
Provide technical guidance
Champion AI-native practices
Leverage coding agents
Promote team-wide adoption
Define core engineering standards
Define testing standards
Define evaluation standards
Define deployment standards
Define monitoring standards
Define trustworthiness standards
How You'll Work.
Team & Collaboration
Partner with Product; Partner with UX; Partner with Data Science; Partner with Engineering
Communication Scope
Explain technical trade-offs
Applying for this Senior GenAI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Architus?
Real rants from real employees. Read before you apply.