AI Engineer
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
Demand for GenAI and Agentic AI solutions is accelerating across our client pipeline and were 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) youll design and build LLM-powered applications and agentic systems that plan reason and take action often by securely interacting with enterprise systems and APIs.
Youll work across discovery rapid prototypes pilot and scale with a strong emphasis onquality 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.
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.
What Youll 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 Were Looking For (Must-Have)
- 12 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 withRAG 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
Were hiring across multiple levels (entry/junior through senior/principal).
How Youll Work
Youll 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:
- 12 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
Required Experience:
IC
About Company
Unify Consulting is a leading AI consulting firm that meets your unique needs. We don't just offer advice; we provide sustainable measures that empower individuals and businesses to thrive today and in the future. From strategic planning to advanced solutions, we're here to guide you ... View more
