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Lead AI Engineer || Toronto / Minneapolis, Minnesota (Hybrid)

Job

Verito Solutions

Remote

Full-Time

Posted 2 days ago (Updated 8 hours ago) • Actively hiring

Expires 7/4/2026

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Job Description

Lead AI Engineer Toronto / Minneapolis, Minnesota (Hybrid) Phone +
Video Job Description:
Design, build, and own production agentic AI systems end-to-end across the Wealth Management platform. This is the core builder role on a greenfield AI squad. You will design and ship production-grade agentic AI systems
  • multi-tool reasoning agents, RAG pipelines, tool integrations, and LLM orchestration layers
  • solving real enterprise problems across financial services workflows.
You won't just prototype; you own systems through deployment, monitoring, and iteration. The team is new, patterns are yours to define, and the problems are high-value with direct business impact. This role may grow into a technical lead position as the team scales.
WHAT YOU'LL BUILD
Multi-tool ReAct agentic systems with LLM-driven reasoning loops, tool chaining, and state management RAG pipelines
  • ingestion, chunking strategy, hybrid retrieval (vector + keyword), freshness management, citation grounding Custom tool integration layers connecting AI agents to enterprise systems and internal APIs Streaming backends, session management, rate limiting, and enterprise-grade hardening Eval frameworks
  • golden datasets, LLM-as-judge, regression detection in CI/CD Tiered LLM routing for cost / latency / quality optimization
REQUIRED EXPERIENCE 8-10
years total engineering experience
  • with 2-3+ years specifically building production agentic or LLM systems (not just prototypes) and 5-6 years in software engineering, backend systems, or adjacent technical roles Hands-on RAG architecture
  • chunking tradeoffs, retrieval failures, evaluation Built or extended tool integration layers connecting LLM agents to external systems Strong Python backend
  • FastAPI, async, Pydantic, streaming responses Deployed on Kubernetes / OpenShift with Vault, health probes, CI/CD Can diagnose a RAG system returning wrong answers
  • not just "reprompt it" Knows when NOT to use agents
  • cost/complexity tradeoff thinking
NICE TO HAVE
Experience with AWS Bedrock, Azure OpenAI, or enterprise LLM gateway patterns Experience with structured data query generation (NL-to-SQL) and output validation Financial services or regulated industry background LoRA / PEFT fine-tuning with clear reasoning on when to fine-tune vs. prompt engineer Prior consulting delivery
  • understands shipping under real constraints
TECH STACK
Python
  • FastAPI
  • Pydantic LangChain
  • LangGraph ReAct
  • Plan-and-Execute
  • Agentic Orchestration RAG
  • Hybrid Vector Search Function Calling
  • Tool Use Multi-Agent Systems Structured Outputs
  • JSON Mode SSE Streaming
  • WebSockets Async Python
  • Concurrency Kubernetes
  • Container Orchestration Enterprise LLM Platforms Secrets Management CI/CD Pipelines PostgreSQL
  • Redis
  • Vector DB Observability
  • Tracing
  • LangSmith Guardrails
  • PII Detection Fine-tuning
  • PEFT / LoRA Abhishek Kumar Sr. Technical Recruiter Verito Solutions
  • An E-verified company (Bunnell, Florida 32110)
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