Engineering Leader

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Research Engineer – Neuro-Symbolic AI (Knowledge Graphs) & Multimodal Assistant Systems

Bosch Group

In OfficeBengaluru

Apply

Sr. Design Technologist , eShop Content Services

Amazon

In OfficeBengaluru

Apply

Software Development Engineer III - Backend

SWIGGY

In OfficeBengaluru

Apply

Data Scientist III

SWIGGY

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• Architect and build multi-tenant systems that serve enterprise customers across geographies with strict data residency, isolation, and compliance requirements.
• Design high-throughput ingestion systems capable of processing large volumes of voice data, call metadata, and operational telemetry in near real-time.
• Make foundational architectural decisions on data stores, stream processing, and storage tiers — balancing query performance, cost, and operational simplicity.
• Champion SOLID principles, clean architecture, and engineering rigor across all codebases — ensuring systems are testable, extensible, and maintainable at scale.
• Recruit, hire, and develop senior engineers across a multi-disciplinary function spanning voice engineering, backend systems, data engineering, and applied operations research.
• Establish engineering standards, code review culture, and a strong bias toward shipping — with equal commitment to system reliability and customer experience.
• Coach and grow senior/staff engineers into technical leaders; manage engineering managers as the organization scales.
• Drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams to ensure the platform evolves in lockstep with customer needs and market feedback.

Who can apply

• Own the end-to-end engineering for Ema’s AgentQA capabilities — real-time voice pipelines, telephony integrations, and voice-to-action workflows.
• Build and scale the Agent QA platform: automated call scoring, compliance monitoring, sentiment analysis, and coaching feedback loops.
• Design auto-learning systems that continuously improve voice agents from production interactions — closed-loop feedback, model retraining triggers, and quality regression detection.
• Deliver rich voice analytics: call volume trends, handle time distributions, first-call resolution metrics, agent performance dashboards, and anomaly detection.
• Build scalable voice pipeline across geographies – keeping in mind PII, security and compliance requirements.
• Build WFM capabilities including demand forecasting, shift scheduling, real-time adherence monitoring, and capacity planning — applying operations research techniques to optimize workforce utilization.
• Design and implement optimization algorithms for headcount modeling, skill-based routing, and workload balancing across multi-site, multi-timezone contact center operations.
• Partner with ML/AI teams to integrate predictive models for call volume forecasting, attrition risk, and staffing efficiency.

About Ema Unlimited

Searching for “Ema Unlimited jobs” or “jobs at Ema Unlimited”? You’re in the right place.