Senior Software Engineer – Agentic AI

Blueprint Technologies•Bellevue, WA

4h•$130,000 - $145,000•Remote

About The Position

In this role, you will act as a senior technical leader responsible for designing, building, and evolving large-scale cloud-native and AI-powered systems that support a global consulting and enterprise delivery organization. You will lead architectural decisions, drive hands-on development, and shape the next generation of agentic AI solutions used across critical business workflows. You will work closely with cross-functional engineering, product, and platform teams to define requirements, review designs, and unblock complex technical challenges. The role balances deep technical execution with strategic influence, requiring both hands-on engineering and leadership in architecture, quality, and operational excellence.

Requirements

10+ years of overall experience in software engineering, including large-scale enterprise systems.
Strong hands-on experience with full-stack development using modern backend and frontend technologies.
Deep expertise in cloud architecture and distributed systems, including microservices, event-driven design, and observability.
Proven experience designing and implementing scalable, secure cloud-native applications.
Hands-on experience building AI-powered features using LLMs, RAG pipelines, embeddings, and grounding techniques.
Strong proficiency in backend development (C#, .NET or equivalent), REST API design, and modern web technologies.
Experience working across the full software development lifecycle: architecture, design, development, testing, deployment, and operations.
Demonstrated ability to lead technical design discussions and make complex architectural decisions.
Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Nice To Haves

Master’s degree in Computer Science, Software Engineering, or a related field.
3+ years of hands-on experience with AI engineering, including LLM integration, RAG systems, and agentic AI workflows.
Experience designing or re-architecting enterprise-scale AI agents or intelligent automation platforms.
Deep experience with cloud PaaS services such as serverless compute, messaging, event streaming, managed databases, and API gateways.
Strong background in cloud security, identity, compliance, and enterprise governance.
Experience leading technical strategy for complex, multi-team engineering initiatives.
Proven track record of shipping high-impact cloud or AI-powered products in fast-paced environments.
Experience mentoring senior engineers and influencing engineering culture at scale.

Responsibilities

Lead the architecture, design, and implementation of large-scale cloud-native, full-stack, and AI-powered systems.
Drive technical direction for AI engineering initiatives, including LLM integration, retrieval-augmented generation (RAG), grounding strategies, embeddings, and agentic AI patterns.
Design, re-architect, and extend enterprise AI agents and intelligent workflows used across business-critical scenarios.
Provide senior technical guidance on distributed systems, microservices, event-driven architectures, and cloud integration patterns.
Review and approve system designs covering APIs, data stores, messaging systems, and enterprise integrations.
Define and enforce engineering standards for security, scalability, reliability, performance, and maintainability.
Lead hands-on development, code reviews, performance tuning, and complex troubleshooting in production environments.
Partner with cross-functional teams to define scope, technical requirements, delivery milestones, and release plans.
Drive CI/CD, automated testing, deployment strategies, and operational improvements for cloud and AI systems.
Mentor senior and mid-level engineers, raising technical quality and engineering maturity across the organization.
Take ownership of incident response, root cause analysis, and continuous reliability improvements for live services.