SW Engineer - Agentic AI Platform

Key Responsibilities

• Architecture & Design:
  
  • Architect and evolve the Agentic AI Platform to support multi‑agent orchestration, retrieval‑augmented generation (RAG), and integration with existing Visa microservices.
  
  • Design scalable, secure backend systems using Java (Spring Boot) and Python (FastAPI/Flask).
  
  • Develop RESTful and gRPC APIs that connect backend services, AI agents, and React front‑end applications.
• AI & GenAI Integration:
  
  • Integrate Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini into backend systems.
  
  • Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS).
  
  • Develop orchestration and agentic workflows using Lang Chain, Lang Graph, or Autogen.
• Scalability & Reliability:
  
  • Lead the design and implementation of distributed, fault‑tolerant systems that scale horizontally.
  
  • Implement auto‑scaling, monitoring, and observability using Kubernetes, Docker, and Prometheus/Grafana.
  
  • Drive best practices for latency reduction, cost optimization, and service reliability.
• Leadership & Execution:
  
  • Partner with senior engineers, ML engineers, and product leads to define and deliver the platform roadmap.
  
  • Mentor developers, set coding standards, and lead design reviews.
  
  • Deliver results with urgency, balancing innovation with enterprise rigor.
• Innovation & Strategy:
  
  • Explore new frameworks, architectures, and deployment models to push the boundaries of Agentic AI in production.
  
  • Drive continuous improvement, automation, and open‑source adoption across the engineering organization.

This is a hybrid position. The number of days in the office will be confirmed by the hiring manager; at least three days are required.

5+ years of relevant work experience with a Bachelor’s Degree; or 8+ years of relevant work experience; or 2+ years with an advanced degree (Masters, MBA, JD, MD); or 0+ years with a PhD.

• 6+ years of backend software development experience with Java and Spring Boot.
• 2+ years of backend experience with Python (FastAPI, Flask, or similar frameworks).
• Production‑level experience building and deploying AI Agentic solutions, including orchestration of LLM‑based agents and troubleshooting live production environments.
• Hands‑on experience implementing LLM, GenAI, and RAG systems using Lang Chain, Lang Graph, or Autogen.
• Strong understanding of AI orchestration and LLM integration patterns in distributed environments.
• Proven experience building and scaling distributed microservice architectures.
• Proficiency in REST/gRPC API design, event‑driven architectures, and message queues (Kafka, Rabbit
  
  MQ).
• Experience with vector databases (Pinecone, Weaviate, FAISS) and RAG pipelines.
• Hands‑on expertise with cloud platforms (AWS, Google Cloud Platform, Azure).
• Familiarity with SQL and No
  
  SQL databases (MySQL, Dynamo
  
  DB, Mongo
  
  DB).
• Experience with containerization and CI/CD pipelines (Docker, Kubernetes, ArgoCD, Jenkins, Git Hub Actions).
• Excellent debugging, performance optimization, and system design skills at scale.

• Go‑Getter:
  Executes decisively, drives clarity, and thrives in ambiguity.
• Builder:
  Hands‑on technologist delivering high‑impact systems from prototype to production.
• Hustler:
  Operates with urgency and persistence to overcome obstacles.
• Entrepreneurial:
  Innovates beyond scope, with ownership and bias for action.
• True North:
  Leads with integrity, clarity, and long‑term vision.
• Lead by Example:
  Demonstrates accountability, openness, and excellence in technical and people leadership.
• Execute with Excellence:
  Sets a high bar for quality, collaboration, and delivery across multi‑disciplinary teams.

• Languages:
  
  Java (Spring Boot), Python (FastAPI, Flask), Type Script
• AI Frameworks:
  Lang Chain, Lang Graph, Autogen, Llama Index
• LLMs: GPT, Claude, Mistral, Gemini
• Data:
  Postgre
  
  SQL, Redis, Pinecone, FAISS
• Infra:
  Docker, Kubernetes, ArgoCD, AWS/Google Cloud Platform
• Frontend Integration:
  React, Graph
  
  QL, REST/gRPC APIs

The estimated salary range for this position is $ to $ USD per year, which may include potential sales incentive payments if applicable. Salary may vary…