Siteup

Systems Engineer

• Own End-to-End Delivery: Take a production LLM agent from requirement to production deploy, and defend the architecture and trade-offs directly with the client.
• Agent Orchestration: Build and harden orchestration (LangGraph / LangChain or equivalent) — routing, tool-calling, planning, synthesis, and state management.
• Tool & Retrieval Integration: Integrate tools over MCP and keep a growing tool surface fast and correct, including BM25, hybrid, or vector retrieval as scale demands.
• AWS Bedrock & AgentCore: Run models on Bedrock and Bedrock AgentCore — model selection/routing, guardrails, memory, and regional residency profiles.
• Evaluation & Observability: Build the eval harness (golden sets, LLM-as-judge, quality gates wired into CI) and instrument the system with OpenTelemetry for per-session token, cost, and latency attribution.
• Cost, Latency & Resilience: Drive down cost and latency with real levers (model routing, prompt caching, payload pruning, parallelizing independent calls) behind a regression gate, and build in circuit breakers, fallbacks, and dead-letter handling.
• Safe Write-Actions: Design and stage write-actions with least-privilege permissions, human-in-the-loop approval, plan versioning, audit trail, and rollback — released behind feature flags to a small cohort first.

Senior Software Engineer, Agentic AI Systems

Technical Recruiter

• Own Full-Cycle Recruitment: Manage the entire hiring process — from intake call with hiring managers to offer negotiation — for technical positions (Cloud Engineer, ML Engineer, Software Architects, etc.).
• Advanced Sourcing & Pipeline Building: Build and maintain a consistent pipeline of qualified candidates using LinkedIn Recruiter, Boolean search, and other sourcing channels, specifically targeting the US/Canadian tech talent market.
• Technical Screening: Conduct initial screening interviews that go beyond resume-matching — validate technical background, seniority level, and role fit before presenting candidates to hiring managers.
• Maintain the "Trusted Advisor" Standard: Filter out unqualified or poorly-matched candidates before they reach the client. Ruthlessly protect the client relationship by only submitting candidates who genuinely fit the role.
• ATS & Pipeline Management: Keep candidate data clean, updated, and properly tagged in the ATS — status changes, notes, and next steps must be accurate and current at all times.
• Client & Hiring Manager Coordination: Manage expectations, share market feedback, and adjust search criteria in real time based on hiring manager input.
• Offer Management & Closing: Handle offer negotiation, counter-offer conversations, and candidate closing with a high placement success rate.

IT Recruiter

Business Development Rep

• Execute Targeted Outbound Campaigns: Run personalized outbound sequences across email and personal LinkedIn profiles based on our established playbooks.
• Target Research: Research and identify high-fit accounts and contacts within our defined Ideal Customer Profile (ICP), focusing on highly tailored messaging for technical buyers.
• Lead Generation: Book qualified discovery calls with technical decision-makers at US and EU companies.
• Data Analysis & Optimization: Monitor and analyze campaign performance metrics (open rates, reply rates, and conversion to booked calls) inside HubSpot and Apollo to identify bottlenecks.
• Iterative Refinement: Test, iterate, and document minor sequence variations to steadily improve outbound performance based on real-world data.
• Autonomous Reporting: Bring your numbers directly to weekly 1:1s, providing data, asking questions, and offering clear updates on what is converting.

Senior Software Engineer, Agentic AI Systems

IT Recruiter

Mid-Senior SDR/BDR Specialist