SDE IV

Role – SDE IV – Backend AI

Location: India (Remote)
Function: Engineering – Product Engineering
Reports to: Engineering Manager – Product Engineering

We are looking for a Software Development Engineer IV to join the team behind Sphere, our flagship conversational AI platform powering intelligent voice and digital assistants across financial services. Sphere handles millions of conversations, transactions, and decision-making moments—making it one of the most critical and high-revenue systems in our ecosystem.

In this role, you will lead the development of scalable backend systems that enable natural, secure, and context-aware AI interactions. You'll work at the intersection of real-time systems, speech infrastructure, and agentic AI orchestration, helping define how end users and institutions experience AI across voice and chat interfaces.

What You'll Do

• Design and build high-availability, low-latency services powering AI-based voice and digital agents
• Contribute to the orchestration logic that handles tool invocation, conversational memory, session management, and multi-turn logic
• Integrate backend systems with AI components such as language models, speech pipelines, and structured data sources
• Collaborate with cross-functional teams including ML, product, compliance, and UX to deliver intelligent and trustworthy user experiences
• Identify and resolve performance bottlenecks, reliability issues, and system-wide scalability challenges
• Participate in design and architecture reviews, and mentor junior engineers across the team
• Uphold engineering excellence through strong documentation, testing, observability, and DevOps practices

What You'll Bring

• 7 years of experience in backend engineering, ideally working on real-time or user-facing platforms
• Strong programming skills in , with deep understanding of asynchronous programming and system design
• Proven experience building and scaling distributed services, APIs, and event-driven systems
• Familiarity with infrastructure tools such as Docker, Kubernetes, and CI/CD pipelines
• Experience integrating services with data stores, message queues, and external APIs
• Exposure to conversational AI, LLM infrastructure, or voice interfaces

Bonus Points:

• Experience working on AI-enabled or ML-integrated platforms
• Understanding of compliance, security, and auditability requirements in regulated environments
• Prior experience working in fast-paced, high-growth product teams

Why Join Us?

• Work on the most impactful and revenue-generating platform in the organization
• Build infrastructure for real-time intelligent agents—across both chat and voice modalities
• Collaborate with top-tier AI researchers, designers, and engineers in a fast-moving, high-trust environment
• Help shape the future of human-AI interaction in a mission-driven company at scale

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