AI Engineer

Posted 17 Days Ago
Seattle, WA, USA
Hybrid
110K-220K Annually
Junior
Consulting
The Role
As an AI Engineer, you'll design and build LLM-powered applications and agentic systems, ensuring quality, safety, and effective user feedback. Involved in client discovery and technical communication, collaborating within agile teams to develop solutions.
Summary Generated by Built In
Unify Consulting is a leading AI management consulting firm designed to help clients overcome challenges and achieve their goals through an agile, modular, and bespoke approach. We’re a collective of curious, seasoned consultants who build meaningful connections and deliver with purpose and authenticity.
 
Why we’re hiring
Demand for GenAI and Agentic AI solutions is accelerating across our client pipeline, and we’re proactively building a strong bench of AI Engineers who can help architect, build, and scale real production systems — not demos.
 
The Role

As an AI Engineer (GenAI / Agentic AI), you’ll design and build LLM-powered applications and agentic systems that plan, reason, and take action — often by securely interacting with enterprise systems and APIs.

You’ll work across discovery → rapid prototypes → pilot and scale, with a strong emphasis on quality, safety, latency, cost, and user feedback loops.


Location Requirement
Candidates must currently reside in the Greater San Francisco, Greater Seattle, Greater Chicago, or DFW metro areas. Relocation (now or in the future) is not supported for this role.

Please note:
We are unable to sponsor or transfer visas for this position
. You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future.
Please no resumes from third-party agencies or recruiters

What You'll Do

    You may work across several of these areas depending on level and project:

    Build GenAI / LLM applications

  • 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. 
  • Engineer agentic solutions (Plan → Reason → Execute → Feedback)

  • 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. 
  • Prompt engineering + evaluation

  • Create reusable prompt templates/libraries; implement prompt testing frameworks; establish prompt versioning/governance.
  • Evaluate solutions for quality/safety/latency/cost and iterate quickly. 
  • Production readiness + operations

  • Partner with platform/LLMOps teammates to deploy, monitor, and improve LLM systems in production.
  • Build observability and reliability mechanisms for agent-based workflows.
  • Client-facing consulting

  • Lead technical discovery, map workflows/pain points, and communicate solutions to technical and executive stakeholders. 

What We're Looking For (Must-Have)

  • 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 

Nice-to-Have/Differentiators

  • Applied Scientist style skills: deep learning/NLP with PyTorch/TensorFlow + Hugging Face; ability to interpret research and implement emerging techniques.
  • Fine-tuning and optimization methods (LoRA/PEFT/QLoRA), distillation/quantization/pruning, GPU memory optimization.
  • Experience building secure tool integrations / agent middleware (tool schemas, SaaS integrations like Salesforce/SAP/ServiceNow, OAuth2, API security). 
  • Evaluation harnesses and regression testing for prompts/agents; RAG quality testing. 
  • Cloud-native experience in large enterprise environments.

    Levels

    We’re hiring across multiple levels (entry/junior through senior/principal).

    How You’ll Work

    You’ll collaborate in agile delivery pods alongside product, architecture, engineering, and ops roles to build and scale agentic AI solutions.
    Projects may include discovery workshops, rapid prototyping, and production pilots with measurable outcomes.

    Apply

    Send your application (or resume) and include:

  • 1–2 examples of LLM apps/agentic systems you built (even internal or side projects)
  • The platform(s) you used (e.g., Bedrock / Vertex / Azure) and how you handled RAG, evaluation, and production concerns 

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Kirkland, WA
547 Employees
Year Founded: 2006

What We Do

At Unify Consulting, our model breaks the mold with a custom approach to every unique challenge. Unify consultants dare to uncover what matters, empower breakthroughs, and deliver with purpose to better our world now. Relationships are at the center of everything we do. Without meaningful connections, there’s no way we can continue doing what we do best – shapeshift to each client’s context, bringing human-centered perspectives and solutions, designed to multiply impact and last. Unifiers strive to practice anti-racism, gender justice, and belonging to co-create thriving, equitable communities. As a firm, we’re committed to a building a sustainable, inclusive future. With offices in Seattle, San Francisco, Silicon Valley, Chicago, and Dallas and delivery centers in Sioux Falls, Fargo and Salt Lake City, let’s bring the best of us together. LET’S UNIFY! For more information about our services or employment visit www.unifyconsulting.com.

Similar Jobs

Metropolis Technologies Logo Metropolis Technologies

Artificial Intelligence Engineer

Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Easy Apply
In-Office
Seattle, WA, USA
23100 Employees
170K-200K Annually

Zeta Global Logo Zeta Global

Lead Software Engineer

AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Easy Apply
Remote or Hybrid
United States
2429 Employees
200K-215K Annually

PwC Logo PwC

Artificial Intelligence Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
62 Locations
370000 Employees
151K-187K Annually

ClickUp Logo ClickUp

Artificial Intelligence Engineer

Cloud • Digital Media • Enterprise Web • Marketing Tech • Software
Remote or Hybrid
United States
1000 Employees
200K-250K Annually

Similar Companies Hiring

Energy CX Thumbnail
Greentech • Professional Services • Business Intelligence • Consulting • Energy • Financial Services • Utilities
Chicago, IL
108 Employees
Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Amplify Platform Thumbnail
Fintech • Financial Services • Consulting • Cloud • Business Intelligence • Big Data Analytics
Scottsdale, AZ
62 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account