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Develop and deploy custom AI/ML applications, integrate solutions into client systems, optimize scalable AI applications, and research machine learning algorithms. Collaborate with product managers, data scientists, engineers, and stakeholders while applying backend development, data pipelines, cloud platforms, and software design principles to deliver client-focused solutions.

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.