Agent Engineer/AI Engineer/Solutions Architect/Technical Lead/ Platform /Runtime Engineer

1) Agent Engineer (Agentic AI / LLM Systems)

Job Title: Agent Engineer Location: In person in Palo Alto CA only local

The Opportunity

We are seeking an Agent Engineer to help build the next generation of AI-powered workflows and intelligent systems. You will design and deploy agentic solutions that can reason, plan, and take action across enterprise tools unlocking new levels of automation and productivity.

Role Summary: Design and deliver agentic AI systems that operate across enterprise workflows. This role focuses on building autonomous and semi-autonomous systems using LLMs, including tool orchestration, memory, and multi-step decisioning.

What You ll Do • Design and implement agent-based systems using LLMs, tools, memory, and planning (including orchestration and multi-step workflows) • Build and integrate agent workflows across enterprise systems via APIs and services • Develop RAG pipelines where applicable to support agent reasoning • Implement human-in-the-loop patterns for safety, review, and escalation • Define and operationalize evaluation frameworks (accuracy, reliability, task success) • Own solutions from prototype through production deployment and monitoring • Partner cross-functionally to deliver scalable, secure, and high-impact solutions

Qualifications

Required: • Bachelor s or Master s in Computer Science, Data Science, or related field (or equivalent experience) • Strong programming experience (Python required) • Experience building LLM-based applications or workflow automation systems

Preferred: • Experience with agent frameworks (e.g., LangChain, Semantic Kernel) • Familiarity with RAG, vector databases, and evaluation techniques • Experience designing multi-step or tool-augmented workflows

Core Competencies • Agentic System Design • Applied Generative AI • Workflow Orchestration • Evaluation & Reliability • Software Engineering Excellence • Cross-Functional Collaboration

2) AI Engineer (Applied AI / Machine Learning)

Job Title: AI Engineer Location: In person in Palo Alto CA only local

The Opportunity

We are seeking an AI Engineer to help bring machine learning and generative AI capabilities into real-world products and platforms. You will work at the intersection of data, models, and systems to deliver scalable, production-ready AI solutions.

Role Summary

Develop and operationalize machine learning and generative AI solutions, with a focus on model integration, evaluation, and production readiness.

What You ll Do • Select, fine-tune (where needed), and integrate ML and foundation models into production systems • Design and manage the end-to-end ML lifecycle (data, experimentation, deployment, monitoring) • Build robust evaluation frameworks to ensure model quality and performance • Apply relevant techniques in NLP, LLMs, or computer vision depending on domain • Develop data pipelines, feature engineering workflows, and model serving infrastructure • Optimize performance, cost, and scalability across cloud and compute environments • Collaborate with cross-functional teams to deliver AI-powered features

Qualifications • Bachelor s or Master s in AI, Computer Science, Math, or related field • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) • Experience deploying ML models into production environments

Core Competencies • Machine Learning Development • MLOps & Model Operationalization • Data & Model Quality • Experimentation & Evaluation • Software Engineering • Technical Communication

3) Solutions Architect (AI / Platform)

Job Title: Solutions Architect Location: In person in Palo Alto CA only local

The Opportunity

We are seeking a Solutions Architect to shape how our systems are designed, scaled, and integrated. You will translate business strategy into robust architectures, ensuring our platforms especially AI-enabled systems are secure, scalable, and future-ready.

Role Summary

Own end-to-end system architecture and design governance, defining reference architectures and standards across platforms and AI solutions.

What You ll Do • Lead requirements discovery and translate business needs into system architectures • Define and maintain reference architectures (e.g., AI/GenAI systems, RAG, integration patterns) • Evaluate trade-offs across scalability, performance, cost, and security • Drive architectural alignment and maintain decision records across teams • Ensure compliance with data governance, privacy, and AI safety standards • Guide engineering teams through implementation and validate design adherence • Partner with stakeholders to shape long-term solution strategy

Qualifications • Bachelor s degree in Computer Science, Engineering, or related field • Experience designing enterprise-scale, distributed systems • Strong background in cloud platforms and integration architectures • Excellent communication and stakeholder alignment skills

Core Competencies • Systems Architecture • Design Governance & Standards • Strategic Thinking • Integration & Interoperability • Risk & Trade-off Management • Stakeholder Influence

4) Technical Lead (Engineering Delivery)

Job Title: Technical Lead Location: In person in Palo Alto CA only local

The Opportunity

We are seeking a Technical Lead to drive high-quality engineering execution across complex initiatives. You will play a critical role in translating architecture into delivery, while mentoring engineers and elevating team performance.

Role Summary

Provide hands-on technical leadership focused on execution, delivery, and engineering excellence.

What You ll Do • Own implementation-level architecture and key design decisions within your domain • Lead end-to-end delivery across design, development, testing, and integration • Contribute hands-on to critical components and unblock engineering teams • Review code and designs to ensure quality and scalability • Mentor and develop engineers, strengthening team capability • Partner with product and cross-functional leaders to align priorities • Drive continuous improvement in engineering practices

Qualifications • Bachelor s degree in Computer Science or Engineering (or equivalent experience) • Strong hands-on engineering background with delivery leadership experience • Proven ability to ship complex, production-grade systems

Core Competencies • Technical Leadership (Execution-Focused) • Hands-On Engineering • Delivery Excellence • Mentorship & Talent Development • Architecture & Design (Implementation-Level) • Collaboration & Influence

5) Platform / Runtime Engineer (Systems & Infrastructure)

Job Title: Platform / Runtime Engineer Location: In person in Palo Alto CA only local

The Opportunity

We are seeking a Platform / Runtime Engineer to build the foundation that powers our products and AI systems at scale. You will focus on performance, reliability, and infrastructure that enables teams to ship with confidence.

Role Summary

Build and operate the runtime and infrastructure foundation supporting scalable, reliable, cloud-based systems.

What You ll Do • Develop and maintain runtime services, infrastructure components, and platform tooling • Design and operate distributed systems across cloud and containerized environments • Optimize system performance, scalability, and observability • Build CI/CD pipelines and monitoring systems to support reliable operations • Debug complex issues across services and infrastructure layers • Partner with application and AI teams to support production systems

Qualifications • Bachelor s degree in Computer Science, Engineering, or related field • Experience with distributed systems, Linux, and cloud platforms • Proficiency in debugging, performance optimization, and reliability practices

Core Competencies • Systems & Platform Engineering • Distributed Systems • Performance Optimization • Reliability & Observability • Automation & Tooling • Software Engineering Discipline

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.