Staff Engineer – AI

1 day ago


Srinagar, India BQE Software Full time

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 ResponsibilitiesArchitect & 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 Experience6-8 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 leadershipPreferred (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



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