Key skills
AWSAzureCloudDistributed SystemsDockerKubernetesMicroservicesPythonAIMLGenAILarge Language ModelsRAGLangChainAgenticLangGraphLeadershipMentoring
About this role
Role Overview
- Design, develop, and deploy GenAI solutions leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, prompt engineering techniques, and agentic AI workflows and orchestration
- Evaluate emerging tools and frameworks to continuously improve solution quality and innovation
- Lead the end-to-end lifecycle of GenAI solutions, including solution architecture and engineering, integration with enterprise systems, secure deployment and release management
- Architect and deploy GenAI applications across cloud environments (Azure and AWS) and design distributed systems supporting high-throughput, low-latency AI workloads
- Develop scalable, maintainable applications using Python and microservices-based architectures and apply secure coding standards and robust data handling practices for regulated environments
- Provide architectural leadership and guidance across GenAI initiatives, mentor and coach senior engineers and development teams
Requirements
- Bachelor’s degree, or equivalent work experience
- Six to eight years of relevant experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 8+ years of experience in software engineering, platform engineering, or AI/ML solutions
- 2+ years hands-on experience with GenAI technologies, including LLMs and RAG architectures and vector databases
- Strong knowledge of agentic AI concepts and frameworks (e.g., LangChain, LangGraph)
- Experience with cloud platforms (Azure and/or AWS)
- Deep understanding of distributed systems and scalable architecture patterns
- Proficiency in Python and microservices-based development
- Experience with Docker, Kubernetes, and Infrastructure as Code tools
- Demonstrated technical leadership and mentoring experience
Tech Stack
- AWS
- Azure
- Cloud
- Distributed Systems
- Docker
- Kubernetes
- Microservices
- Python
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law