Job description

It s fun to work in a company where people truly BELIEVE in what they re doing! Fullsteam is a leading provider of vertical software and embedded payments technology dedicated to helping businesses flourish by providing their customers with seamless experiences. With a dynamic and growing team of over 1,900 employees, we are committed to driving innovation and delivering best-in-class software and payment solutions that empower small and medium-sized businesses across numerous industries. Our purpose is to help our customers grow their businesses and delight their customers. Join us and be a part of a forward-thinking company that values growth, excellence, and the success of our clients. We’re building a pipeline of exceptional AI Engineering talent for future opportunities within our organization. While this is not an immediate opening, we anticipate significant hiring in this space throughout the year. As part of our broader AI strategy, we are investing heavily in Generative AI, Agentic Systems, and Ambient Intelligence to transform how we build products, operate internally, and serve our customers. These initiatives will drive expanded product capabilities, productivity gains, enhanced customer experiences, and measurable improvements in customer satisfaction (NPS). If you re excited about shaping the next generation of intelligent systems, we encourage you to apply and connect with us for upcoming roles. Primary Responsibilities Build production software – Design and implement scalable backend services, APIs, and data pipelines with a focus on reliability, performance, and maintainability Develop agentic systems – Create autonomous agents that leverage LLMs to reason, use tools, and orchestrate complex multi-step workflows Architect for scale – Design systems that handle real-time AI inference, conversation state, and tool execution with proper error handling and recovery Design, develop, and deploy machine learning models that drive product features, improve user engagement, and enhance decision-making processes Collaborate cross-functionally – Partner with Product, Design, and Engineering teams to define requirements and deliver AI-powered features. Maintain engineering excellence – Write clean, well-tested code; conduct thorough code reviews; champion best practices across the team Stay current – Evaluate emerging agentic frameworks, patterns, and tools; prototype new approaches to solve real problems Skills & Competencies Software Engineering (Core) Strong system design, API design, and distributed systems knowledge Clean code practices and testable architecture Experience with concurrency, async programming, and performance optimization Database experience (relational vector stores) CI/CD, observability, and production operations Agentic Systems Agent architecture (planning, orchestration, memory, tool use) LLM integration (prompting, function calling, context management) RAG pipelines (embeddings, vector search, retrieval strategies) Reliability patterns for non-deterministic systems Machine Learning (ML) Understanding of training, inference, evaluation, and model tradeoffs Familiarity with embeddings and vector representations Exposure to frameworks such as PyTorch, Hugging Face, or scikit-learn Experience adapting or fine-tuning models is a plus Knowledge of evaluation metrics (precision/recall, F1, perplexity) Nice to Have Experience with agent orchestration frameworks (e.g., LangGraph, AutoGen) Background in vector databases and semantic search Familiarity with AI safety and guardrail patterns Experience mentoring engineers or leading initiatives Typical Qualifications for Consideration Bachelor’s degree in Computer Science, Engineering, or related field 6 years of software engineering experience 2 years building applications leveraging LLMs or agentic systems Proficiency in Python and modern frameworks (FastAPI, async/await) Experience with cloud platforms (AWS preferred: Lambda, Bedrock, OpenSearch) Proven ability to ship and operate production systems Strong problem-solving and communication skills Additional Information This is an evergreen requisition designed to build our talent network for upcoming AI Engineering roles. If your background aligns, a member of our team may reach out to you as opportunities arise that match your experience and interests. Fullsteam supports an inclusive workplace that values diversity of thought, experience, and background. Fullsteam is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state, or local law.

Requirements

Must-haves

It s fun to work in a company where people truly BELIEVE in what they re doing!
We’re building a pipeline of exceptional AI Engineering talent for future opportunities within our organization. While this is not an immediate opening, we anticipate significant hiring in this space throughout the year.
If you re excited about shaping the next generation of intelligent systems, we encourage you to apply and connect with us for upcoming roles.
Build production software – Design and implement scalable backend services, APIs, and data pipelines with a focus on reliability, performance, and maintainability
Develop agentic systems – Create autonomous agents that leverage LLMs to reason, use tools, and orchestrate complex multi-step workflows
Architect for scale – Design systems that handle real-time AI inference, conversation state, and tool execution with proper error handling and recovery
Design, develop, and deploy machine learning models that drive product features, improve user engagement, and enhance decision-making processes
Collaborate cross-functionally – Partner with Product, Design, and Engineering teams to define requirements and deliver AI-powered features.
Maintain engineering excellence – Write clean, well-tested code; conduct thorough code reviews; champion best practices across the team
Stay current – Evaluate emerging agentic frameworks, patterns, and tools; prototype new approaches to solve real problems
Skills & Competencies Software Engineering (Core) Strong system design, API design, and distributed systems knowledge
Clean code practices and testable architecture
Experience with concurrency, async programming, and performance optimization
Database experience (relational vector stores)
CI/CD, observability, and production operations
Agentic Systems Agent architecture (planning, orchestration, memory, tool use)
LLM integration (prompting, function calling, context management)
RAG pipelines (embeddings, vector search, retrieval strategies)
Reliability patterns for non-deterministic systems
Machine Learning (ML) Understanding of training, inference, evaluation, and model tradeoffs
Familiarity with embeddings and vector representations

Nice-to-haves

Experience adapting or fine-tuning models is a plus
Nice to Have Experience with agent orchestration frameworks (e.g., LangGraph, AutoGen)
Experience with cloud platforms (AWS preferred: Lambda, Bedrock, OpenSearch)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aidesign systemsmachine learningapici/cdllmmlpythonaws

Platform: workday
Effort: long