Staff Software Engineer

• Architect and lead

  complex, multi-team systems

  spanning the entire product portfolio
• Define and drive the organization s

  AI architecture, governance frameworks, and integration standards

• Establish architectural patterns and technical direction for

  scalable SaaS and AI systems

• Design and standardize

  MCP servers, AI integration patterns, and agentic workflows

  across products
• Own

  end-to-end delivery

  of critical, company-wide technical initiatives
• Define and enforce

  security, DevOps, and observability standards

  for AI-enabled systems
• Partner with

  Product, DevOps, and Security

  teams to shape long-term technical roadmaps
• Mentor engineers at all levels on

  system design, AI best practices, and architecture

• Lead

  incident response

  for critical systems and drive post-incident improvements
• Anticipate

  emerging AI trends, regulations, and platform shifts

  , and adapt strategy proactively

Required Qualifications

Experience

• 8+ years

  of software engineering experience with a strong track record of architecting

  large-scale, distributed systems

• 2+ years of hands-on, production AI/ML experience

  , building and deploying AI-powered features and platforms at scale

Technical Skills

Core Technology Stack

• Backend:

  Node.js

  ,

  TypeScript

  ,

  .NET (C# - good to have)

• Frontend:

  React

• Databases:

  PostgreSQL

  ,

  MS SQL Server

• Cloud Infrastructure:

  AWS

  ,

  Docker

• Strong understanding of

  modern SaaS and cloud-native architectures

AI Platform Engineering

• Python

  expertise with deep familiarity in the AI/ML ecosystem
• Experience with

  MCP Servers

  and AI tool orchestration
• Hands-on experience with

  AWS Bedrock

  and enterprise AI deployments
• Frameworks orchestration:

  LangGraph

  ,

  Semantic Kernel

• Strong experience with

  Vector Databases

  (indexing, scaling, hybrid search)
• Advanced expertise in:

  • Retrieval-Augmented Generation (RAG)

  • Prompt engineering
  • LLM integration and fine-tuning

  • Multi-agent and agentic AI systems

• Strong AI literacy: understanding of

  model capabilities, limitations, safety, and governance

System Design Architecture Leadership

• Proven expertise in

  distributed systems, microservices, and cloud-native patterns

• Ability to make

  long-term architectural decisions

  balancing scale, reliability, and maintainability
• Designs systems with a strong focus on

  performance, observability, and evolution

Execution Engineering Leadership

• Owns delivery across the

  entire SDLC

  , from design to production
• Mentors engineers across teams and seniority levels
• Drives alignment and consensus across diverse technical and business stakeholders
• Elevates engineering culture through

  best practices, documentation, and continuous learning

Security, DevOps Communication

• Strong expertise in

  IAM, secrets management, and secure AI deployment

• Deep experience with

  CI/CD pipelines, containerization, and Infrastructure as Code (IaC)

• Designs robust

  monitoring, logging, and incident response strategies

• Effectively communicates complex technical and AI concepts to

  technical teams and executive leadership

• Collaborates closely with

  Product, DevOps, and Security

  to align on long-term strategy