Jobs at Blue Machines AI

Lead the architecture and development of a high-scale real-time voice and telephony platform for AI conversations. Own SIP, media pipelines, WebRTC, carrier integrations, call quality, latency, reliability, Kubernetes scaling, observability, and production operations. Lead and mentor 3–6 engineers while remaining hands-on, partnering with product and ML teams to integrate ASR, TTS, LLMs, and multi-agent orchestration.

Design, build, deploy, integrate, and optimize production voice AI agents for enterprise clients. Develop backend integrations using APIs, WebSockets, webhooks, and CRM systems; implement LLM orchestration, guardrails, and tool calling; analyze logs and agent metrics; conduct root-cause analysis and funnel experiments; and lead client workshops and deployment reviews.

Design, build, deploy, integrate, and optimize production voice AI agents for enterprise clients. Develop backend integrations using APIs, WebSockets, webhooks, and CRM connections; implement LLM orchestration, guardrails, prompt and conversation logic; analyze logs and call flows; and optimize agent performance. Lead client workshops, troubleshoot production issues, manage technical delivery, and travel extensively across India for deployments and reviews.

Design, build, deploy, integrate, and optimize production Voice AI agents for enterprise clients. Develop backend integrations using APIs, WebSockets, webhooks, CRM systems, and cloud services. Implement LLM orchestration, prompt design, guardrails, tool calling, observability, and agent evaluation. Diagnose production issues through logs and traces, optimize performance metrics, lead client workshops, and support deployment reviews. The role requires strong software engineering, AI application development, client communication, and willingness to travel.

Design, build, deploy, integrate, and optimize production voice AI agents. Develop backend integrations with enterprise systems using APIs, WebSockets, webhooks, and CRM connections. Implement LLM orchestration, prompt design, guardrails, tool calling, observability, evaluation, and root-cause analysis. Partner with client engineering teams, lead technical workshops, support deployments, and travel for live-call reviews.

Build and operate multichannel communication integrations across WhatsApp, telephony, web chat, WebRTC, and other media channels. Design unified conversation, identity, and session models; normalize multimodal content; implement realtime streaming and reliable event processing; and improve delivery, observability, and failure handling. Own production services, incident response, dashboards, API design, documentation, testing, and code reviews while helping establish scalable abstractions for future channels.

Build Blue Machines’ US sales development function from the ground up by prospecting and qualifying buyers across home health, senior living, dental, and home services. Run high-volume, multichannel outbound campaigns, conduct discovery, coordinate handoffs to Account Executives, maintain CRM accuracy, attend industry events, and develop repeatable sequences and messaging. The role also involves mentoring and helping hire future SDRs, with a path toward SDR Manager.

Leads a deeply technical Forward Deployed Engineering team delivering AI-powered customer solutions. Responsibilities include managing engineers, designing architectures, building and debugging production systems, leading enterprise deployments, integrating AI agents with business workflows, engaging customers, managing execution, and improving reliability and operational excellence.

Owns end-to-end B2B event marketing, including flagship events and executive roundtables. Partners with Sales and GTM to connect activations to pipeline goals, manages vendors and budgets, develops outreach and follow-up sequences, and measures qualified leads, influenced pipeline, and accelerated deals. Creates event briefs, playbooks, reports, and post-event content while coordinating with Brand and Video teams. The role is based in-office in Bengaluru and requires travel across India.

Design, build, deploy, integrate, and optimize production voice AI agents. Develop backend integrations with enterprise systems using APIs, WebSockets, webhooks, and CRM connections. Implement LLM orchestration, prompt design, guardrails, and tool calling. Monitor agent performance, analyze logs and traces, conduct root-cause investigations, and improve conversation funnels. Lead client workshops, collaborate with engineering teams, manage technical delivery, and support on-site deployment reviews.

Design, build, deploy, and support production-grade integrations between the Blue Machines platform and client systems. Develop API, cloud, and AI/LLM integrations; collaborate with clients on deployment, debugging, and optimization; and automate, document, and monitor workflows. The role requires Python or Java backend experience, cloud expertise, web technologies, authentication protocols, AI/LLM familiarity, and strong problem-solving and communication skills.

Build and maintain scalable, low-latency backend systems for real-time AI and voice workflows. Responsibilities include developing microservices, APIs, streaming systems, concurrent and fault-tolerant code, observability, testing, deployment, and monitoring. The role integrates WebRTC and telephony protocols, Voice AI, LLMs, vector databases, and agent frameworks while collaborating with product, AI, and ML teams on multi-agent orchestration and automation.

Drive enterprise SaaS revenue through prospecting, relationship management, complex deal negotiation, and closing. Manage enterprise customers, build pipeline, develop sales strategies, and collaborate with legal, finance, marketing, product, technical, and operations teams. Help establish the company’s North American go-to-market sales motion for its conversational AI platform.

Owns quality for an AI agent platform across voice, web chat, WhatsApp, and email. Designs API, integration, regression, manual, exploratory, and production monitoring tests; integrates automation into CI/CD; investigates logs and traces; supports release sign-off; writes reproducible test documentation; and mentors the growing QA practice.

Drive enterprise sales for a conversational AI platform across Voice, Chat, SMS, and WhatsApp. Responsibilities include prospecting, relationship management, complex deal negotiation, closing and expanding large accounts, sales strategy, pipeline development, tailored presentations, and cross-functional collaboration. The role will also help establish Blue Machines’ North American go-to-market motion and sales processes.

Leads technical delivery of government voice AI deployments from scoping through launch and post-launch reporting. Owns architecture, integrations, security, hosting, compliance, RFP solutioning, technical bids, estimates, SLAs, demos, and executive stakeholder communication. Personally handles complex deployments while managing a forward-deployed engineering team. Requires hands-on software, cloud, API, SQL, monitoring, and LLM application expertise, plus frequent collaboration with product, engineering, government departments, and senior officials.

Drive enterprise revenue for a conversational AI platform by prospecting, managing executive relationships, leading complex negotiations, closing and expanding six- or seven-figure SaaS deals, and developing sales strategies. The role owns end-to-end enterprise sales cycles, collaborates with legal, finance, marketing, product, technical, and operations teams, and helps establish Blue Machines’ North American go-to-market motion.

Own analytics, evaluation frameworks, quality metrics, dashboards, and business impact measurement for AI voice agents. Analyze deployment KPIs, support billing and reconciliation, automate reporting with AI tools, build reusable analytics frameworks, and create voice-agent evaluation datasets across accents, languages, and noise conditions. Collaborate with AI Engineering, Product, Operations, and enterprise customers to translate system behavior into actionable insights.

Leads a hands-on Forward Deployed Engineering team delivering AI-powered customer solutions. Responsibilities include managing engineers, designing architectures, building and debugging production systems, integrating enterprise workflows, leading customer deployments, reviewing code, managing incidents, improving reliability, and driving execution across ambiguous, customer-facing projects.