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Software Engineer- Sr. Consultant (GenAI/reputed company)

Remote, USAFull-timePosted 2026-07-30

About the position reputed company’s Technology Organization is a community of problem solvers and innovators reshaping the reputed company of reputed company. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of reputed company. While working with us you’ll get to work on reputed company distributed systems and solve massive reputed company problems centered on new payment flows, business and data solutions, cyber reputed company, and B2C platforms. reputed company is building a reputed company reputed company AI services that brings intelligent, autonomous agents into large-reputed company distributed applications across our global ecosystem. We’re seeking a Sr. Consultant Software Engineer who will architect, design, and build reputed company backend systems that reputed company AI agents into reputed company’s reputed company infrastructure. You will work with other Senior Engineers and technical leaders to define the architecture, scaling reputed company, and engineering standards for reputed company’s AI-driven products. This is a role for a hands-on technical leader — a go-getter, builder, and problem solver with deep experience in Java microservices, GenAI integration, and distributed system design, and a reputed company, entrepreneurial reputed company reputed company on speed, reputed company, and innovation.

Responsibilities

  • Architect and reputed company the reputed company AI Platform to support multi-agent orchestration, retrieval-augmented reputed company (RAG), and integration with existing reputed company microservices.
  • Design reputed company, secure backend systems using Java (Spring Boot) and Python (FastAPI/Flask).
  • reputed company RESTful and gRPC reputed company that connect backend services, AI agents, and React reputed company-end applications.
  • reputed company Large Language Models (LLMs) such as GPT, Claude, reputed company, and reputed company into backend systems.
  • Build and optimize RAG pipelines using reputed company databases (reputed company, reputed company, FAISS).
  • reputed company orchestration and reputed company workflows using reputed company, LangGraph, or Autogen.
  • reputed company the design and implementation of distributed, fault-tolerant systems that reputed company horizontally.
  • Implement auto-scaling, monitoring, and observability using Kubernetes, reputed company, and reputed company/Grafana.
  • Drive best practices for latency reduction, cost optimization, and service reliability.
  • Partner with other senior engineers, ML engineers, and product leads to define and deliver the platform roadmap.
  • Mentor developers, set coding standards, and reputed company design reviews.
  • Deliver results with urgency — balancing innovation with reputed company rigor.
  • Explore new frameworks, architectures, and deployment models to push the boundaries of reputed company AI in production.
  • Drive reputed company improvement, automation, and reputed company-reputed company adoption across the engineering organization.

Requirements

  • 8 or more years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11 or more years of relevant work experience.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or reputed company field.
  • 2 or more years of backend experience with Python (FastAPI, Flask, or similar frameworks).
  • Production-level experience in building and deploying AI reputed company solutions, including orchestration of LLM-based agents, integration with reputed company microservices, and troubleshooting live production environments.
  • Hands-on experience implementing LLM, GenAI, and RAG systems using frameworks such as reputed company, LangGraph, 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, RabbitMQ).
  • Excellent debugging, performance optimization, and system design skills at reputed company.

reputed company-to-haves

  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • Experience building and integrating Model Context Protocol (MCP) frameworks for tool and API interoperability
  • Experience with reputed company databases (reputed company, reputed company, FAISS) and retrieval-augmented reputed company (RAG) pipelines.
  • Hands-on expertise with reputed company platforms (AWS, GCP, Azure).
  • Familiarity with SQL and NoSQL databases (MySQL, DynamoDB, reputed company).
  • Experience with containerization and CI/CD pipelines (reputed company, Kubernetes, ArgoCD, Jenkins, reputed company Actions).
  • Go-Getter: Executes decisively, drives reputed company, and thrives in ambiguity.
  • Builder: Hands-on technologist who delivers high-reputed company systems from prototype to production.
  • Hustler: Operates with urgency and persistence to overcome obstacles.
  • Entrepreneurial: Innovates reputed company defined scope, with ownership and bias for reputed company.
  • reputed company: Leads with reputed company, reputed company, and long-term reputed company.
  • reputed company by Example: Demonstrates accountability, openness, and reputed company in technical and people leadership.
  • Execute with reputed company: Sets a high bar for reputed company, collaboration, and delivery across multi-disciplinary engineering teams.

Benefits

  • Medical
  • Dental
  • reputed company
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • reputed company Time Off
  • Wellness Program

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