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.
Role type
AI/ML Software Engineering (Talent Pipeline)
Builds
Scalable backend services, APIs, data pipelines, and autonomous agentic systems leveraging LLMs.
Domain
Fintech / Embedded Payments / Generative AI
Deliverable
production ML models
Required skills
System design, API design, distributed systems, clean code, concurrency, async programming, database management, CI/CD, LLM integration, agent architecture, RAG pipelines, model training and inference, Python, cloud platforms (AWS)
Preferred skills
Agent orchestration frameworks (LangGraph, AutoGen), vector databases, AI safety patterns, mentoring
Technologies
Python, FastAPI, AWS (Lambda, Bedrock, OpenSearch), PyTorch, Hugging Face, scikit-learn, LangGraph, AutoGen
Responsibilities
Design and implement scalable backend services and APIs; Develop autonomous agents leveraging LLMs; Architect systems for real-time AI inference; Design, develop, and deploy machine learning models; Collaborate cross-functionally to define requirements; Maintain engineering excellence through code reviews and best practices; Evaluate emerging agentic frameworks and prototype new approaches.
Seniority
Mid-Senior (6+ years total, 2+ years in AI/LLMs)
