Staff Forward Deployed Engineer

vibehackers; United States; On-site; USD 190,000 - 270,000; Full time

Benefits offered by this job

Competitive salary

Equity compensation

Unlimited PTO

Health benefits (medical, dental, vis​

Parental leave

Employee Stock Purchase Program (ESPP)

401(k) with employer matching

Offsite team retreats

Job summary

vibehackers is hiring a Staff Forward Deployed Engineer to embed with business teams and design, build, and ship AI-powered workflows into production. You will operate at the boundary of an internal AI platform and business domains, delivering systems that scale and generate measurable business impact.

You will blend hands-on software engineering with applied LLM/agent work to convert team-specific wins into reusable capabilities and cross-functional value across the company.

Qualifications

• 8+ years of professional software engineering experience.
• Strong Python and backend/full-stack expertise.
• Experience with cloud infrastructure and container orchestration (AWS, Docker, Kubernetes).
• Familiarity with CI/CD workflows and SQL.
• Working knowledge of LLMs, prompt engineering, tool use, RAG, and agent orchestration.

Responsibilities

• Embed with cross-functional teams to design and ship AI-powered workflows.
• Translate team needs into production AI systems and reusable capabilities.
• Measure outcomes by business impact (revenue, cost, cycle time, manual work reduction).
• Scale proven solutions across the organization.

Skills

Python

Backend development

Full-stack

AWS

Docker

Kubernetes

CI/CD

SQL

LLMs

Prompt engineering

LangChain

MCP

Tools

LangChain

MCP

Job description

Building AI-powered workflows and agentic systems with LLMs and orchestration frameworks; hands-on prompt engineering and production AI work.

About the Role

Staff Forward Deployed Engineer who embeds with business teams to design, build, and ship AI-powered workflows into production that increase efficiency and scale across the company. The role combines hands-on software engineering with applied LLM/agent work to turn team-specific solutions into reusable capabilities that drive measurable business outcomes.

Job Description

Role

We are hiring a Staff Forward Deployed Engineer to embed with cross-functional teams and build AI-powered workflows that make teams faster and more effective. You will work at the boundary between an internal AI platform and business domains, shipping production systems and converting team-specific wins into reusable capabilities for the company.

Key Responsibilities

• Embed with a function to learn day-to-day workflows and surface pain points related to time, handoffs, rework, and manual effort.
• Map existing workflows and prioritize where AI can deliver the most value.
• Design, implement, and ship production AI-powered workflows, measuring outcomes by business impact (revenue, cost, cycle time, manual work reduction).
• Scale proven solutions into reusable capabilities across the organization.
• Collaborate across technical and business teams; produce documentation and findings actionable for both engineers and non-technical stakeholders.

Requirements

• 8+ years of professional software engineering experience.
• Strong hands-on coding skills and experience delivering production systems across complex codebases.
• Strong Python plus backend or full-stack depth in one or more of: Node.js, Kotlin, Java, Go, React, TypeScript, or mobile platforms.
• Experience with cloud infrastructure and container orchestration: AWS, Docker, Kubernetes.
• Familiarity with CI/CD workflows and SQL.
• Working knowledge of LLMs and agentic patterns, including prompt engineering, tool use, retrieval-augmented generation (RAG), context management, evaluation/observability, and agent orchestration with frameworks like MCP or LangChain.
• Ability to get productive quickly in unfamiliar codebases and domains.
• Excellent communication and cross-functional collaboration skills.

Nice-to-have

• Experience extracting structure from unstructured data (transcripts, documents, conversations) with LLMs.
• Familiarity with workflow automation tooling (n8n, Zapier, Temporal).
• Familiarity with process mining or workflow analysis (event logs, process discovery, BPMN).

What success looks like

• Shipping production systems that materially improve partner outcomes.
• Turning prototypes into maintainable, scalable capabilities used across teams.
• Measurable business impact (revenue, cost savings, cycle time reduction, elimination of manual work).

Benefits (highlights)

• Competitive salary and equity compensation
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental, and vision, plus parental leave
• Employee Stock Purchase Program (ESPP)
• 401(k) with employer matching
• Offsite team retreats

Skills

Software Engineering Full-Stack Development Backend Development Cloud Infrastructure CI/CD SQL LLM/Agent Patterns Prompt Engineering Agent Orchestration Workflow Automation Process Analysis Production Deployment Observability Cross-functional Collaboration Technical Communication Product Discovery

Experience Level

Employment Type

{Full-Time}

• Competitive salary & equity compensation