[New Grad] Applied AI Engineer

Ranger AI; United States; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Extended health benefits

Direct work with enterprise customers

Job summary

Ranger AI is seeking an Applied AI Engineer to work in a remote/hybrid setting with enterprise customers. You will translate business needs into AI-enabled solutions and deploy production-ready workflows across discovery, design, and deployment phases.

You will collaborate with Product, Forward Deployed Engineering, GTM, and customers to build AI systems using LLMs, RAG, and API integrations, while evaluating reliability and improving outputs in real production environments.

Qualifications

• Recent or upcoming graduate in CS/Engineering/AI/DS.
• Strong software engineering fundamentals.
• Hands-on experience with LLMs, Generative AI, RAG, agents, embeddings.
• Experience with APIs, databases, or backend systems.
• Comfortable speaking with customers and non-technical stakeholders.

Responsibilities

• Build and improve LLM-powered workflows, agents, retrieval systems, and automation.
• Work with structured and unstructured enterprise data.
• Help develop RAG pipelines, prompting strategies, tool use, and structured outputs.
• Build integrations with APIs, databases, document pipelines, and enterprise systems.
• Work alongside senior engineers and Forward Deployed Engineers on customer deployments.
• Participate in customer discovery, testing, and implementation.
• Prototype new AI capabilities and help bring successful ideas into production.
• Evaluate model outputs, reliability, and failure cases.
• Debug and improve AI workflows based on customer feedback.
• Learn how to translate business requirements into technical solutions.

Skills

Software engineering fundamentals

LLMs

Generative AI

RAG

Agents

Embeddings

APIs

Databases

Backend systems

Customer communication

Education

Recent or upcoming graduate in Computer Science/Engineering/AI/DS

Tools

AWS

Azure

GCP

Docker

Job description

Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.

The platform helps enterprise teams improve workflows across RFPs, RFQs, proposals, quotations, legal review, and other complex commercial processes.

Ranger is backed by Bonfire Ventures, Inovia Capital, 25Madison, and Panache Ventures.

Role Description

This is a remote/hybrid role for an Applied AI Engineer at Ranger AI.

You will work directly with enterprise customers to understand their workflows, identify where AI can create value, and build solutions that move those workflows into production. You will work closely with Product, Forward Deployed Engineering, GTM, and our customers across discovery, solution design, implementation, testing, and deployment. The role requires strong technical ability, but also strong business judgment. You need to be comfortable speaking with customers, understanding how their business works, translating business problems into technical requirements, and building AI systems that are reliable enough for real enterprise use.

What You Will Do

• Build and improve LLM-powered workflows, agents, retrieval systems, and automation.
• Work with structured and unstructured enterprise data.
• Help develop RAG pipelines, prompting strategies, tool use, and structured outputs.
• Build integrations with APIs, databases, document pipelines, and enterprise systems.
• Work alongside senior engineers and Forward Deployed Engineers on customer deployments.
• Participate in customer discovery, testing, and implementation.
• Prototype new AI capabilities and help bring successful ideas into production.
• Evaluate model outputs, reliability, and failure cases.
• Debug and improve AI workflows based on customer feedback.
• Learn how to translate business requirements into technical solutions.

What We Are Looking For

• Recent or upcoming graduate in Computer Science, Engineering, AI/ML, Data Science, or a related field.
• Strong software engineering fundamentals.
• Hands-on experience with LLMs, Generative AI, RAG, agents, embeddings, or related technologies through projects, internships, co-ops, research, or coursework.
• Experience working with APIs, databases, or backend systems.
• Strong problem solving skills and ability to learn quickly.
• Comfortable speaking with customers and non-technical stakeholders.
• Curious about how businesses operate and how technology can improve workflows.
• High level of ownership and willingness to take on unfamiliar problems.
• Comfortable working in an early-stage startup environment.
• Ability to DIVE DEEP

Business & Customer Experience

We strongly value engineers who understand the business problem behind the technology.

You should be comfortable asking customers questions about how they work, why a process exists, where the bottlenecks are, and what success looks like.

A background in business, consulting, product, operations, entrepreneurship, or customer-facing technical work is highly valued.

Nice to Have

• Experience in business or finance
• Previous experience in a customer-facing technical role.
• Experience with AWS, Azure, or GCP.
• Experience with Docker and production infrastructure.
• Experience building agentic systems with multiple tools or workflows.

Compensation

• Extended health benefits
• Opportunity to work directly with enterprise customers and help build applied AI systems used in real industrial workflows