Solutions Engineer

Augment; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive Salary + Stock Options

Health, Vision, and Dental Benefits

Flexible PTO

On-site Gym

Job summary

Augment is seeking an experienced Solutions Engineer to design and deliver integrations, automations, and AI-powered workflows for freight brokers, carriers, and 3PLs. You’ll prototype solutions, guide onboarding, and bridge gaps between sales, product, and customer success.

You’ll work hands-on on technical architectures, solve complex business problems with AI, and drive adoption to scale our platform for long-term customer success.

Qualifications

• 3+ years in a solutions engineering role in a high-growth software environment.
• Proven ability to design, prototype, and ship integrations, automations, or connected applications with autonomy.
• Hands-on experience with AI/LLM tooling — e.g., LLM frameworks, orchestration platforms, or building workflows with agents and prompts.
• Exposure to at least one modern programming language (Python, TypeScript, Go, or similar).
• Strong experience with APIs, SDKs, webhooks, or integration layers.
• Background in customer-facing work (discovery calls, technical workshops, or implementations).
• Ability to translate customer problems into technical solutions and architectures.
• Comfort working in early-stage, dynamic environments without detailed playbooks.
• Excellent communication skills — able to present to both technical and business stakeholders.

Responsibilities

• Partner with sales, product, and operations on discovery calls, workshops, and design sessions.
• Translate customer business problems into technical architectures, workflows, and integration roadmaps.
• Act as a technical champion during onboarding, removing blockers and guiding implementations.
• Rapidly prototype integrations, automations, or agent workflows to validate fit and feasibility.
• Move prototypes into production‑level code, collaborating on scalability, testing, monitoring, and reliability.
• Build and maintain SDKs, API clients, connectors, and middleware for customer systems.
• Establish and implement best practices for data modeling, prompt engineering, agent orchestration, and error handling.
• Capture customer feedback and articulate it to product & engineering for roadmap prioritization.
• Produce design docs, integration guides, technical documentation, and training materials.

Skills

Solutions engineering

AI/LLM tooling

Programming: Python/TypeScript/Go

APIs & SDKs

Customer-facing

Communication skills

Onboarding and design sessions

Problem translation to tech solutions

Tools

SDKs

API clients

Orchestration platforms

Job description

About Us: Logistics Is Broken. Let’s Fix It. We are a team of engineers, product designers, and customer champions applying the most transformative technology of our times, AI, to one of the largest industries in the world: logistics. Our mission is to streamline freight brokerage, carrier management, and 3PL operations through automation, freeing teams to focus on high‑value strategic work.

We are looking for implementation experts with deep expertise in freight, logistics, and technology implementation to help scale our impact. If you're excited about managing a high‑performing team and optimizing customer workflows with AI‑driven solutions, we want to hear from you.

Overview

As a Solutions Engineer at Augment, you will act as a hands‑on builder and trusted technical partner for our customers. You’ll own the design and delivery of integrations, automations, and AI‑powered workflows that help brokerages, carriers, and 3PLs get live faster and scale successfully. This role is equal parts technical and customer‑facing: you’ll prototype and troubleshoot solutions, guide customers through onboarding, and bridge the gap between sales, product, and customer success. Your goal is to turn complex business problems into working solutions — driving adoption, unlocking value from our AI platform, and setting customers up for long‑term success.

What You’ll Do

Customer‑Facing Engineering

• Partner with sales, product, and operations on discovery calls, workshops, and design sessions.
• Translate customer business problems into technical architectures, workflows, and integration roadmaps.
• Act as a technical champion during onboarding, removing blockers and guiding implementations.

Prototyping & Integration

• Rapidly prototype integrations, automations, or agent workflows to validate fit and feasibility.
• Move prototypes into production‑level code, collaborating with engineering on scalability, testing, monitoring, and reliability.
• Build and maintain SDKs, API clients, connectors, and middleware for customer systems.
• Establish and implement best practices for data modeling, prompt engineering, agent orchestration, and error handling.

Feedback & Enablement

• Capture customer feedback and clearly articulate it to product & engineering for roadmap prioritization.
• Produce design docs, integration guides, technical documentation, and training materials.

What We’re Looking For

• 3+ years in a solutions engineering, forward‑deployed engineering, or similar technical role in a high‑growth software environment.
• Proven ability to design, prototype, and ship integrations, automations, or connected applications with autonomy.
• Hands‑on experience with AI/LLM tooling — e.g., LLM frameworks, orchestration platforms, or building workflows with agents and prompts.
• Exposure to at least one modern programming language (Python, TypeScript, Go, or similar) — enough to debug, troubleshoot, and build proofs of concept.
• Strong experience working directly with APIs, SDKs, webhooks, or integration layers.
• Background in customer‑facing work (discovery calls, technical workshops, or implementations).
• Ability to translate customer problems into technical solutions and architectures.
• Comfort working in early‑stage, dynamic environments without detailed playbooks.
• Excellent communication skills — able to present to both technical and business stakeholders.

Bonus Points For

• Domain exposure in logistics, supply chain, or system integrations (WMS, TMS, ERP, etc.).
• Familiarity with APIs, webhooks, queues, messaging systems, or event‑driven architecture.
• Experience with data pipelines, transformations, or orchestration frameworks.
• Prior work in AI‑focused startups or tooling.

Why Join Us?

• Competitive Salary + Stock Options
• Comprehensive Health, Vision, and Dental Benefits
• Flexible PTO
• On‑site Gym

About Augment

At Augment, we set out to create a fully autonomous AI platform that streamlines operations and reclaims the human element in logistics. Our founders recognized a pattern: talented professionals were stuck handling manual data entry, phone calls, and repetitive tasks, instead of focusing on high‑impact problem‑solving and strategic decision‑making. That insight became our mission—to free logistics professionals from busywork so they can focus on what truly drives business growth. Augment isn’t just about efficiency; it’s about transforming an entire industry by empowering teams with AI‑driven solutions that make logistics smarter, faster, and more adaptive.

Join us on this journey!

Augment is an Equal Opportunity Employer and values diversity at our company. We consider all qualified applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability, or any other legally protected status.

Augment complies with federal, state, and local laws regarding equal employment opportunity and reasonable accommodation. If you need assistance or an accommodation during the application or interview process, please contact your recruiter.

We also consider qualified applicants with arrest and conviction records in accordance with applicable federal, state and local fair‑chance / ban‑the‑box laws (for example, but not limited to, the California Fair Chance Act).

Our hiring process uses AI‑powered tools to assist with screening and evaluating applications based on job‑related criteria. All AI‑assisted outputs are reviewed by human recruiters who make all decisions about which candidates advance in the process.