We are seeking a highly experienced, versatile Senior Full-Stack Customer Solutions Engineer who combines deep software engineering expertise with strong customer-facing execution skills. This role requires mastery of Adlib's core technology stack (C#, .NET, Angular, SQL) and advanced proficiency in n8n, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.
Unlike a traditional engineering role, this position follows a Forward-Deployed Engineering (FDE) model, embedding directly with customers during onboarding and expansion to execute packaged Activation Packs, integrate systems, validate workflows, and deliver rapid time-to-value.
You will accelerate customer success by proving ROI, enabling scalable adoption of Adlib's platform, and translating complex enterprise requirements into performant, repeatable solutions. You will partner closely with Product, Engineering, Customer Experience, and Sales to drive outcomes and feed field learnings back into the core platform.
Key Responsibilities
Forward-Deployed Engineering and Customer Activation:
- Embed with customers during activation sprints to lead implementation of Adlib Trust Kits PrecisionPaths, packaged accelerators, and workflow templates
- Architect and integrate Adlib's platform into complex customer ecosystems using APIs, enterprise systems, automation pipelines, and standardized deployment patterns
- Configure, orchestrate, and optimize automation workflows using n8n, including custom nodes and enterprise-grade orchestration
- Design and deploy LLM-based and RAG-enabled workflows, including prompt engineering, embedding pipelines, retrieval logic, and hybrid search patterns
- Validate customer workflows, measure value realization, and ensure production-level readiness
- Serve as the customer-facing technical lead, facilitating workshops, conducting technical deep dives, and guiding deployment best practices
- Ensure solutions meet security, observability, performance, and rollback standards defined in the FDE playbook
- Communicate deployment patterns, lessons learned, and reusable logic back to Product and Engineering
- Partner with Sales Engineering to ensure a smooth transition from late-stage sales cycles into activation execution
Full-Stack Engineering and System Development:
- Design, develop, and maintain full-stack applications using C# (ASP.NET, .NET Core) and Angular
- Contribute to system design, architectural reviews, and performance optimization
- Work across both legacy and modern .NET applications, ensuring compatibility and modernization where required
- Develop reusable components, libraries, and workflow modules to support repeatable customer deployments
- Troubleshoot complex issues spanning UI, backend services, automation workflows, LLM pipelines, and integrations
AI, Workflow Automation, and Systems Integration:
- Architect and deliver LLM-driven and RAG-enabled workflows, including vector search, embeddings, retrieval pipelines, and dataset preparation
- Maintain and extend n8n workflows, automation logic, and integrations
- Integrate Adlib systems with cloud services, enterprise platforms, and ECM systems
- Stay current on advancements in AI, workflow automation, and platform engineering
Required Skills and Qualifications
Technical Expertise
- 8+ years of software development experience with a strong emphasis on full-stack engineering
- Expert-level proficiency in C#, ASP.NET, .NET Core, and related frameworks
- 4+ years of experience building modern front-end applications with Angular and TypeScript
- Strong SQL experience with query optimization and performance tuning
- Deep hands-on expertise with n8n for enterprise automation (firm requirement)
- Deep expertise with LLMs and RAG architectures, including vector stores and retrieval pipelines (firm requirement)
- Strong understanding of system architecture and design principles
Forward-Deployed and Customer-Facing Skills
- Significant experience working directly with customers in technical deployment or consulting roles
- Ability to lead technical workshops, discovery sessions, and solution implementations
- Strong communication skills with technical and non-technical stakeholders
- Proven ability to deliver value under time constraints in dynamic environments
Engineering and Delivery
- Excellent troubleshooting skills across full-stack systems
- Experience with Git, CI/CD, and DevOps practices
- Familiarity with Docker and Kubernetes preferred
- Comfortable operating within Agile teams
Education and Experience
- Bachelor's or Master's degree in Computer Science or equivalent experience
- Prior forward-deployed, consulting, or customer-facing engineering experience strongly preferred Security Clearance
- This role will be working direct with customers and federal entities handling sensitive and confidential information. As such the following requirements are mandatory:
o United States Citizen
o Clean background check
o Passport and willingness to travel worldwide
