Sr. Software Engineer - Core Platform

Staff/ Sr. Staff Software Engineer - Core Platform

About SAIGroup

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals.

SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup’s latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI is not just building another AI tool—it’s reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems.

The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence.

Role Overview

We are hiring an experienced, hands‑on systems and AI Staff/Sr.Staff engineer to help build and operate the core, differentiated AI capabilities in the JazzX platform. You will be a technical leader and hands‑on builder, collaborating across multi‑disciplinary teams to deliver on our strategic roadmap.

This is a pivotal technical role to scale multi‑agent systems, adaptive AI learning loops, and real‑time orchestration infrastructure that enables enterprise‑ready autonomy.

Key Responsibilities

• Build scalable, intelligent backend systems that power real‑time orchestration of AI‑driven workflows across the enterprise.

• Design and implement infrastructure that enables collaborative AI agents to communicate, coordinate, and solve complex tasks together.

• Build flexible memory and context management systems that allow AI components to retain knowledge, personalize behavior, and reason over past interactions.

• Contribute to adaptive learning pipelines that help the platform continuously improve through feedback, fine‑tuning, and in‑context learning.

• Develop tools and frameworks that simplify the design, composition, and integration of AI agents, models, and services — supporting both developers and non‑technical users.

• Engineer cloud‑native, low‑latency components using modern distributed system design patterns and Dev Ops practices.

• Drive observability, uptime, and incident resilience in a high‑stakes orchestration system.

• Champion testability, logging, metrics, and security best practices.

• Ensure operational excellence, including system reliability, observability, cost efficiency, and compliance through automation and well‑defined guardrails.

Technical Leadership & Culture Building

• Contribute to architecture reviews, design decisions, and platform‑level evolution across work streams.

• Mentor engineers in distributed systems, agentic AI, and enterprise‑grade software practices.

• Partner with other technical leaders, product, research, and design teams to deliver outcomes aligned with strategic milestones.

Experience & Qualifications

Technical Foundation

• 12+ years building cloud‑scale distributed systems with deep experience in microservices, API design, and event‑driven architecture and different design patterns.

• Mastery in at least two of:
Python, Java, Go, Type Script, C++.

• Experience deploying in Azure, AWS, or GCP; strong command of Kubernetes, Docker, and CI/CD pipelines.

AI Systems & GenAI Expertise (Highly Preferred)

• Experience with LLM orchestration, MLOps, or agent‑based systems (e.g., Lang Chain, Auto Gen, Lang Graph).

• Hands‑on with feedback loops, fine‑tuning pipelines, model evaluation, or memory architectures.

• Knowledge of GenAI safety frameworks (e.g., bias mitigation, explainability, runtime guardrails).

Systems Thinking & Leadership

• Demonstrated technical ownership of platform‑scale initiatives and multi‑quarter roadmaps.

• Experience designing for modularity, resilience, and observability at the system level.

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