Staff Engineer – AI & Innovation

BQE Software is

As a Staff Engineer, you will work across the full stack of AI engineering — from data pipelines and APIs to distributed cloud deployments — ensuring performance, security, and scalability. Beyond hands-on development, you will mentor engineers, collaborate with product and leadership teams, and champion best practices in quality, observability, and compliance. This is a unique opportunity to shape the future of AI innovation at BQE while making a direct impact on the industries we serve.

Key Responsibilities

• Architect & Lead:

  Own the design of a multi-agent AI system (LangGraph + MCP + AWS native stack).

• Scale the Platform

  : Ensure highly available, cost-optimized, and production-ready deployments on AWS (Lambda, Fargate, API Gateway, Bedrock, OpenSearch).

• Data Intelligence:

  Oversee ETL and embedding pipelines that sync SQL data into vector DBs for context-aware AI.

• Quality First:

  Champion CI/CD, SonarQube quality gates, testing strategies, and observability best practices.

• Secure & Compliant:

  Define standards for tenant isolation, authentication, authorization, and auditability.

• Innovation & Research:

  Prototype new capabilities like voice-to-entry, context-aware reminders, and predictive time entry.

• Mentorship:

  Guide mobile, backend, and AI teams through design reviews, technical coaching, and cross-team collaboration.

Required Experience

• 6-8 Years of experience in Software Engineering.
• Deep expertise in

  cloud architecture (AWS preferred)

  and distributed systems.
• Hands-on with

  Python / Node.js / Kotlin / Java

  , including designing APIs and microservices.
• Proven experience with

  AI/ML systems

  (LLMs, embeddings, RAG pipelines, or similar).
• Strong background in

  CI/CD, code quality, and system observability

  .
• Exceptional communicator with ability to partner across

  engineering, product, and leadership

Preferred (Nice to Have)

• Experience with

  LangGraph, MCP server design, or multi-agent systems

  .
• Prior work on

  voice interfaces

  (AWS Transcribe, Alexa, Google Speech, etc.).
• Experience in

  FinTech, ERP, or enterprise SaaS platforms

  .
• Passion for

  building frameworks and reusable platforms

  .
• Strong AI/cloud expertise; experience with scalable enterprise SaaS or high-scale distributed systems is a strong plus.
• Innovation mindset with experience exploring and applying emerging AI and cloud-native technologies.
• Curiosity to explore emerging AI frameworks & Ability to translate them into practical enterprise solutions