Note: The job is a remote job and is open to candidates in USA. Software Guidance & Assistance, Inc. (SGA) is a technology and resource solutions provider supporting a premier artificial intelligence and technology client. The company is seeking a Full Stack Engineer - AI Systems to develop end-to-end frontend, backend, and AI capabilities, including intelligent workflows, large language model integrations, real-time experiences, and reliable production systems. The role collaborates with product, machine learning, and engineering teams to deliver and continuously improve AI-enabled products.
Responsibilities
- Develop and deliver end-to-end product capabilities across frontend applications, backend services, and AI-powered integrations
- Design and implement intelligent workflows that support planning, tool orchestration, error handling, and recovery across multi-step processes
- Integrate large language models, memory frameworks, and third-party systems into scalable production applications
- Build real-time user experiences that support streaming outputs, incremental responses, and low-latency interactions
- Improve platform reliability through monitoring, observability, fault tolerance, and resiliency strategies
- Collaborate closely with product, machine learning, and engineering teams to deliver features from concept through production
- Analyze user behavior, production performance, and system outcomes to continuously improve workflow effectiveness
- Establish reusable patterns and frameworks for building dependable AI-enabled products
Skills
- Strong full stack engineering experience spanning modern frontend and backend technologies
- Expertise in application architecture, distributed systems, and API design
- Experience developing applications that leverage large language models, retrieval systems, or other AI-driven technologies
- Proficiency with JavaScript/TypeScript, Python, and backend service development
- Experience with relational and NoSQL databases
- Knowledge of containerization and cloud-native infrastructure, including Docker and Kubernetes
- Ability to operate effectively in ambiguous environments and make practical engineering decisions
- Demonstrated ownership and experience delivering solutions from initial concept through production deployment
- Comfortable working in fast-paced environments with evolving priorities
- Experience with Next.js, Node.js, and modern web application frameworks
- Familiarity with PyTorch and machine learning development workflows
- Exposure to commercial and open-source large language model platforms
- Experience building resilient AI systems with evaluation, monitoring, and recovery mechanisms
- Background developing highly interactive, real-time user experiences
Benefits
- Remote work arrangement
Company Overview
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