AI Engineer

Unify Consulting

AI Engineer designing and building LLM-powered applications and agentic systems for client solutions. Collaborating in agile teams to deliver innovative AI solutions across various enterprise systems.

Posted 4/14/2026full-timeSeattle • California, Illinois, Texas, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $110,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzurePython

About the role

Key responsibilities & impact

Design and develop LLM-powered applications using enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI / Azure AI platforms, Google Vertex AI).
Implement multi-step orchestration workflows that translate user intent into reliable actions and explainable outputs.
Build robust RAG pipelines (vector databases, embeddings, chunking strategies) and validate grounding quality.
Design agent reasoning/control patterns (e.g., planning vs execution separation, tool calling, memory/context management).
Integrate agents with tools/APIs and enterprise workflows with appropriate governance and guardrails.
Create reusable prompt templates/libraries; implement prompt testing frameworks; establish prompt versioning/governance.
Evaluate solutions for quality/safety/latency/cost and iterate quickly.
Partner with platform/LLMOps teammates to deploy, monitor, and improve LLM systems in production.
Build observability and reliability mechanisms for agent-based workflows.
Lead technical discovery, map workflows/pain points, and communicate solutions to technical and executive stakeholders.

Requirements

What you’ll need

1–2+ years hands-on GenAI / Agentic AI experience building LLM apps on enterprise platforms (AWS Bedrock / Vertex AI / Azure AI platforms) in a professional setting.
Strong backend engineering experience (Python preferred) delivering production-grade systems.
Hands on professional experience with RAG patterns and implementation.
Ability to communicate clearly and contribute in fast-moving, cross-functional teams.
Computer Science / strong CS fundamentals

Benefits

Comp & perks

🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account Unify Consulting Website LinkedIn All Job Openings 501 - 1000 employees 🤖 Artificial Intelligence 🏢 Enterprise ☁️ SaaS Artificial Intelligence
Enterprise
SaaS Unify Consulting is a leading AI and management consulting firm dedicated to helping organizations overcome challenges and achieve their goals. Specializing in AI strategy, operations, and governance, Unify Consulting provides bespoke solutions to elevate business strategies and support organizational transformation. Their agile approach focuses on co-creating meaningful connections and solutions that drive clients forward with clarity and confidence. By partnering with digital and cloud leaders, they accelerate the adoption of new technologies in data, analytics, and artificial intelligence, offering services that empower teams to embrace and implement AI effectively. AI Engineer 🔥 0 minutes ago 🏢🏡 Seattle – Hybrid 💵 $110k - $220k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer AWS Azure Python Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
Design and develop LLM-powered applications using enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI / Azure AI platforms, Google Vertex AI).
Implement multi-step orchestration workflows that translate user intent into reliable actions and explainable outputs.
Build robust RAG pipelines (vector databases, embeddings, chunking strategies) and validate grounding quality.
Design agent reasoning/control patterns (e.g., planning vs execution separation, tool calling, memory/context management).
Integrate agents with tools/APIs and enterprise workflows with appropriate governance and guardrails.
Create reusable prompt templates/libraries; implement prompt testing frameworks; establish prompt versioning/governance.
Evaluate solutions for quality/safety/latency/cost and iterate quickly.
Partner with platform/LLMOps teammates to deploy, monitor, and improve LLM systems in production.
Build observability and reliability mechanisms for agent-based workflows.
Lead technical discovery, map workflows/pain points, and communicate solutions to technical and executive stakeholders. 🎯 Requirements
1–2+ years hands-on GenAI / Agentic AI experience building LLM apps on enterprise platforms (AWS Bedrock / Vertex AI / Azure AI platforms) in a professional setting.
Strong backend engineering experience (Python preferred) delivering production-grade systems.
Hands on professional experience with RAG patterns and implementation.
Ability to communicate clearly and contribute in fast-moving, cross-functional teams.
Computer Science / strong CS fundamentals Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Embodied AI Engineer – Controls 🕒 6 days ago AIM 51 - 200 Website LinkedIn All Job Openings Embodied AI Engineer automating and validating robotic control systems for AI-powered fleets at AIM. Executing high-level technical tasks and collaborating with engineers to integrate AI controls. 🏢🏡 Seattle – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Python AI Engineer 🕒 March 27 Hiiya 1 - 10 🤝 B2B 🎯 Recruiter Website LinkedIn All Job Openings AI Engineer integrating AI solutions into products at Hiya, shaping the future of voice intelligence. Collaborating with teams to leverage AI for smarter communication. 🏢🏡 Seattle – Hybrid 💵 $134k - $262k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer JavaScript Open Source Python TypeScript AI Engineer 🕒 January 29 Hiiya 1 - 10 🤝 B2B 🎯 Recruiter Website LinkedIn All Job Openings AI Engineer developing and integrating AI solutions into Hiya's products, enhancing voice communication. Collaborate with teams for model evaluations and AI orchestration. 🏢🏡 Seattle – Hybrid 💵 $134k - $262k / year ⏰ Full Time 🟢 Junior 🤖 AI Engineer AWS Azure Cloud JavaScript Kubernetes Open Source Python TypeScript View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

LLM applicationsbackend engineeringPythonRAG patternsmulti-step orchestration workflowsprompt testing frameworksgrounding quality validationagent reasoning patternstool callingmemory management

Soft Skills

clear communicationcross-functional collaborationtechnical discoverysolution mappingstakeholder communication