Top Tech Jobs & Startup Jobs

Build scalable backend APIs, data pipelines, orchestration layers, and front-end dashboards powering conversational AI agents. Integrate AI and machine learning models with enterprise workflows, ensuring real-time performance, security, reliability, and low latency. Develop human-in-the-loop workflows, support enterprise-ready product features, and collaborate with AI/ML engineers and architecture leaders. Contribute to code reviews, system design, and engineering best practices in a fast-paced startup environment.

Own the pre-sales technical process for US enterprise clients, leading discovery, solution architecture, demonstrations, RFP responses, SOW development, integration design, and implementation scoping. Translate business objectives into scalable AI solutions, APIs, data integrations, and workflows while partnering with sales, product, engineering, and delivery teams. Serve as the technical authority in client discussions and ensure proposed solutions can be successfully delivered.

Lead the vision, strategy, roadmap, and development of an AI Agent platform. Conduct market and customer research, translate enterprise pain points into product requirements, collaborate with AI/ML engineers, and drive go-to-market adoption and monetization. Manage cross-functional Agile execution and help scale an early-stage B2B SaaS product involving integrations, APIs, and workflow automation.

Build and optimize multilingual ASR/TTS and voice-to-voice systems for conversational AI. Develop agentic RAG pipelines, LLM orchestration, self-learning agents, and real-time low-latency ML applications. Collaborate with MLOps and product teams to deploy scalable, secure, reliable production systems, while advancing speech, NLP, LLM, and inference capabilities for Indian-language contexts.

Supports enterprise sales growth through lead generation, prospect outreach, CRM management, market research, sales materials, event participation, and follow-up coordination. The intern will gain hands-on experience with enterprise sales and generative AI solutions while collaborating with the sales team to build client relationships and identify new business opportunities.

Lead the architecture and performance engineering of Nurix AI’s production infrastructure for real-time voice and chat agents. Design scalable, multi-cloud distributed systems supporting ASR, TTS, LLM orchestration, agentic RAG, and self-learning workflows. Establish reliability, observability, security, compliance, and low-latency standards while optimizing GPU and TPU utilization. Translate AI research into production platforms, mentor engineers, and evaluate advanced inference technologies.