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
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
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.