AI/ML Software Engineering - Talent Pipeline
Core
Building a talent pipeline for future AI Engineering roles focused on Generative AI, Agentic Systems, and Ambient Intelligence to transform product capabilities and internal operations.
Role type
AI/ML Software Engineering (Talent Pipeline)
Builds
Scalable backend services, APIs, data pipelines, and autonomous agentic systems leveraging LLMs.
Domain
Vertical software and embedded payments technology
Deliverable
production ML models | product features | infrastructure
Required skills
System design, API design, distributed systems, clean code practices, concurrency, async programming, database experience (relational + vector stores), CI/CD, observability, agent architecture, LLM integration, RAG pipelines, machine learning model training and inference, Python proficiency, cloud platform experience (AWS)
Preferred skills
Agent orchestration frameworks (LangGraph, AutoGen), vector databases, AI safety patterns, mentoring experience, model fine-tuning
Technologies
Python, FastAPI, async/await, PyTorch, Hugging Face, scikit-learn, AWS (Lambda, Bedrock, OpenSearch), LangGraph, AutoGen
Responsibilities
Design and implement scalable backend services and data pipelines; Create autonomous agents leveraging LLMs for complex workflows; Design systems for real-time AI inference and tool execution; Develop and deploy machine learning models driving product features; Collaborate cross-functionally to define requirements and deliver AI-powered features; Evaluate emerging agentic frameworks and prototype new approaches
Seniority
Mid-to-Senior level (6+ years software engineering, 2+ years with LLMs)