AI Solution Specialist
MGID
Node.jsNoSQLPythonSQL
AI Agent Architect
Spearbit Labs
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonReact
About the role
- 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.
Requirements
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonREST APIsdata pipelineswebhooksprompt engineeringagent orchestrationembeddingsRAGagent frameworksvector stores
Soft skills
excellent communicationownership mindsetmetrics-drivenability to translate non-technical needscollaborationproblem-solvingstakeholder trainingdocumentationiterationevangelism
