AI Agent Architect

Spearbit-posted 3 months ago

11-50 employees

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We are looking for an AI Agent Architect for our Operations and Sales teams. You will lead the design, development, deployment, and continuous optimization of AI agents (autonomous or semi-autonomous systems) that support Spearbit’s internal operations and sales workflows. Your impact will be felt across the business — you’ll help automate repetitive tasks, augment decision-making, and enable scaling of high-touch activities.

Partner with operations, sales, and cross-functional teams to identify high-leverage opportunities for AI agents (e.g., lead qualification, outreach orchestration, operational monitoring, internal automations).
Architect, build, test, and deploy AI agents (prompt-based agents, agent frameworks, RAG pipelines, multi-agent orchestration).
Integrate agents into internal systems (CRM, workflow tools, internal dashboards, triggers, APIs, etc.).
Monitor agent performance, define metrics (accuracy, throughput, ROI), and continuously iterate.
Establish guardrails, safety checks, fallback logic, and human-in-the-loop mechanisms.
Document designs, agent behaviors, and escalate edge cases/pitfalls.
Train stakeholders and end users on how to interact with and govern these agents.
Stay current on agent frameworks, LLMs, prompt engineering, tool-augmented agents, and automation best practices; evangelize suitable innovations within the team.

3+ years experience working with AI systems, especially prompt engineering, agent orchestration, embeddings/RAG, and LLM workflows.
Experience building agents (or autonomous/semi-autonomous software) applied to real business processes (sales, operations, workflow automation).
Strong software engineering skills: Python (or comparable), REST APIs, data pipelines, webhooks, etc.
Familiarity with CRM systems (e.g. HubSpot, Salesforce, Pipedrive), internal workflow tooling (Zapier, n8n, Make, etc.), possibly custom enterprise stacks.
Ability to translate non-technical needs (from ops/sales) into technical spec and vice versa.
Metrics-driven: you think in terms of KPIs, failure modes, monitoring, and ROI.
Excellent communication skills — comfortable working across technical and non-technical teams.
Ownership mindset: you see an opportunity, you dive in, you ship.

Prior experience with agent frameworks (AutoGPT, LangChain agents, ReAct, Toolformer, etc.).
Experience with vector stores, embeddings infrastructure, retrieval augmented generation.
Knowledge of security, access controls, audit logging.
Exposure to scaling internal tooling in a startup environment.

Competitive salary and performance-based compensation opportunities
Opportunity to work in an early-stage startup with a talented and passionate team.
Exposure to high-profile clients in the blockchain and cryptocurrency industry
Comprehensive health, dental and vision benefits
401k plan with company match

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