Staff Forward Deployed AI Solutions Engineer

Vibehackers

Northern (KY)

Hybrid

USD 137,000 - 209,000

Full time

14 days+

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Benefits offered by this job

Fully Remote (US)

Dental insurance

Disability plans

Free testing for employees and family

401(k) benefits

Job summary

Vibehackers is seeking a Staff Forward Deployed AI Solutions Engineer to design, build, deploy, and operate AI agents and automation pipelines within a business domain. You will partner with domain leaders and the central AI team to productionize patterns and scale assets across the company.

You will report to the AI & Automation team, map opportunities, and deliver agentic workflows into production with strong observability, security, and KPI-focused outcomes. Remote role within the USA.

Qualifications

Hands-on fluency with CLIs, APIs, webhooks, SQL, and Python.
Experience with LLMs, agent behavior, and RAG workflows.
Comfortable with cloud platforms and security guardrails.

Responsibilities

Map workflows to identify 10–100x improvements in throughput, coverage, or speed.
Build the business case, quantify impact, and align priorities with domain leadership.
Design future-state workflows and data flows across systems (CRM, ERP, ticketing, document stores, external SaaS).
Define agent vs. human responsibilities and design human-in-the-loop checkpoints.
Stand up agents and automation pipelines using approved AI platforms and frameworks.
Integrate agents with business systems via APIs, webhooks, and skills while following security guardrails.
Configure prompts, retrieval, context, and training for reliable production performance.
Operate agents in production and monitor KPIs (throughput, quality, cost, cycle time).
Build and manage evals; update models or workflows as needed.

Skills

Systems design

Systems integration

API integration

Webhooks

Prompt engineering

LLM/agent behavior

RAG

Automation and orchestration

Observability and monitoring

KPI-driven decision making

Business case development

Stakeholder management

Human-in-the-loop workflow design

Troubleshooting and incident triage

Evaluation and benchmarking

Security and access control

Scripting

Job description

Staff Forward Deployed AI Solutions Engineer

Direct vibe-coding role — building and running LLM-powered agents, integrations, RAG, and evals in production.

About the Role

Lead the design, build, deployment, and operation of AI agents and automation pipelines within a specific business domain to dramatically accelerate workflows and deliver measurable business KPIs. Partner with domain leadership and the central AI & Automation team to productionize agentic patterns, ensure observability, and scale reusable assets across the company.

Job Description

Role

The Staff Forward Deployed AI Solutions Engineer will be embedded in a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience) to find high-leverage automation opportunities and deliver agentic workflows into production. You will report to the central AI & Automation team, partner with domain leaders, and standardize successful patterns across the organization.

Key Responsibilities

Map existing and potential workflows and identify where AI/automation can provide 10–100x improvements in throughput, coverage, or speed.
Build the business case, quantify impact, and align priorities with domain leadership.
Design future-state workflows, mapping structured and unstructured data flows across systems (CRM, ERP, ticketing, document stores, external SaaS).
Define agent vs. human responsibilities and design human-in-the-loop checkpoints.
Stand up agents and automation pipelines using approved AI platforms and frameworks.
Integrate agents with business systems via MCP servers, APIs, webhooks, CLIs, and skills while adhering to IT/security guardrails.
Configure prompts, retrieval, context, and training so agents perform reliably in production environments.
Handle integration challenges such as auth, schema drift, rate limits, and data quality.
Operate agents in production: own performance KPIs (throughput, quality, cost, human intervention rate, cycle time, adoption).
Build and manage evals; re-run evaluations for any material model, data, or workflow change.
Triage failures, tune prompts and context, iterate and retire agents when appropriate.
Instrument observability: tracing, structured logs, dashboards.

Requirements

Hands-on technical fluency with CLIs, APIs, webhooks, SQL, and Python scripting.
Working knowledge of LLM and agent behavior (prompting, context, tool use, RAG, MCP, evals, failure modes).
Comfortable and experienced with a cloud platform.
Strong technical and process judgment; experience driving KPI-oriented outcomes and defending prioritization.
Trustworthy with elevated access: familiarity with least-privilege principles, auditability, and safe rollbacks.

Nice to have

Prior experience delivering measurable outcomes in partnership with business teams.
Hands-on experience with enterprise agentic platforms or model APIs (CrewAI, LangChain, AWS Bedrock, Claude, Codex).
Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations.
Experience in regulated environments (HIPAA, SOC 2, GxP, SOX).

Success in year one

Ship three or more production workflows that measurably move business KPIs, with agent evals and observability.
Be engaged by domain leadership in planning early.
Contribute reusable assets adopted by other engineers.
Enable non-builders to operate or extend workflows using provided artifacts.

Compensation

Base salary ranges listed in the posting: Standard cost of living areas: $152,100–$190,100; Higher cost areas: $167,300–$209,100; Lower cost areas: $136,900–$171,100. Additional components such as bonus and equity are included.
Comprehensive medical, dental, vision, life and disability plans for eligible employees and dependents.
Free testing for employees and immediate families and fertility care benefits.
Pregnancy and baby bonding leave, 401(k) benefits, commuter benefits, and an employee referral program.

Skills

Systems design Systems integration API integration Webhooks Prompt engineering LLM/agent behavior understanding Retrieval-Augmented Generation (RAG) Automation and orchestration Observability and monitoring KPI-driven decision making Business case development Stakeholder management Human-in-the-loop workflow design Troubleshooting and incident triage Evaluation and benchmarking Security and access control Scripting

Experience Level

USD 136,900 - 209,100/year

Employment Type

Full Time