Staff Engineer AI & Innovation

BQE Software is seeking a highly skilled and innovative Staff Engineer – AI & Innovation to join our R&D Engineering team. This senior-level role is ideal for experienced engineers (6–8 years) who can architect and scale enterprise-grade AI solutions while providing technical leadership across teams. You will play a pivotal role in designing a multi-agent AI platform, building scalable cloud-native systems, and driving innovation through applied AI research.

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