Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Systems Design Python (Programming Language) Machine Learning Prompt Engineering Observability FastAPI Model Validation Application Programming Interface (API) AI/ML Inference Relational Databases +22 more

Other Skills

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Communication
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Problem Solving

Roles & Responsibilities

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)

Requirements:

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

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.