Senior AI/ML Software Engineer

Fullsteam

19h

About The Position

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 are seeking a talented and experienced Senior AI Software Engineer specializing in Artificial Intelligence to lead the development and integration of advanced AI solutions into our products. As a Lead Engineer, you will be responsible for designing and implementing high-quality, scalable AI. Models and collaborating with cross-functional teams to push the boundaries of AI in software development. Your work will focus on building cutting-edge applications leveraging Machine Learning (ML), Natural Language Processing (NLP) and Generative AI to deliver exceptional experiences and solutions to our users.

Requirements

• Software Engineering (Core): Strong fundamentals in system design, API design, and distributed systems
• Clean code practices, SOLID principles, and testable architecture
• Async programming, concurrency, and performance optimization, Caching
• Database design (relational and vector stores)
• CI/CD, observability, and production operations
• Agentic Systems: Agent architecture – orchestration, planning, tool use, memory management
• LLM integration – prompt engineering, function calling, context management
• RAG pipelines – embeddings, vector search, retrieval strategies
• Reliability patterns for non-deterministic AI systems
• ML: Basic understanding of ML concepts – training, inference, evaluation, overfitting/underfitting
• Familiarity with embeddings and how vector representations work
• Experience fine-tuning or adapting pre-training models for specific use cases
• Exposure to ML frameworks (PyTorch, Hugging Face Transformers, scikit-learn) at a foundational level
• Understanding of model evaluation metrics (precision recall, F1, perplexity)
• Awareness of when to use off-the-shelf models vs. custom training
• Bachelor’s Degree in computer science, engineering or related technical field
• 6+ years in professional software engineering experience
• 2+ years building applications that integrate LLMs or agentic systems
• Proficiency in Python with experience in modern frameworks (FastAPI, async/await)
• Experience with cloud platforms (AWS preferred – Lambda, Bedrock, OpenSearch)
• Proven track record of shipping and operating production systems
• Strong debugging, troubleshooting, and problem-solving skills
• Excellent communication skills with an ability to work with global, cross-functional teams, and stakeholders

Nice To Haves

• Experience with agent orchestration frameworks (LangGraph, AutoGen, custom implementations)
• Background in vector databases and semantic search
• Familiarity with AI safety and guardrail patterns
• Experience mentoring engineers or leading technical initiatives

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, converation 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level