Fullsteam Logo

Fullsteam

AI/ML Software Engineering - Talent Pipeline

Reposted 4 Days Ago
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
Build and design backend services, AI agents, and machine learning models. Collaborate cross-functionally to deliver AI features and maintain code quality.
The summary above was generated by AI

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 & CompetenciesSoftware 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.

Similar Jobs

55 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
85K-110K Annually
Mid level
85K-110K Annually
Mid level
Edtech • Social Impact
Own and maintain the master program plan for Claude Corps, run cross-functional cadence and stakeholder communications, manage external partner relationships, codify scalable processes and tooling, and produce executive reporting to ensure timely cohort launches and program growth.
Top Skills: AsanaClaude
An Hour Ago
Remote or Hybrid
245K-290K Annually
Expert/Leader
245K-290K Annually
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Lead global accounting and controllership functions, oversee audits, close and consolidation processes, financial reporting (USGAAP/IFRS/ASC 606), financial systems, and intercompany accounting. Partner with executive leadership on financial strategy, support M&A and integrations, drive process improvements and governance, manage onshore/offshore teams, and leverage AI to enhance analytics and operational efficiency.
Top Skills: AINetSuite
An Hour Ago
Remote or Hybrid
United States
69K-106K Annually
Mid level
69K-106K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Own and maintain lifecycle marketing systems: administer Hightouch reverse ETL, monitor syncs and pipeline health, triage martech issues, partner with engineering and marketing on implementations, document configurations, manage access and governance, support audience segmentation and QA, and identify automation opportunities while building solutions with AI.
Top Skills: ActioniqBigQueryBrazeCensusClaudeDatabricksEvent StreamingHightouchIterableMarketoSnowflakeSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account