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Talent Acquisition Specialist (Technical Recruiter)

TrueFoundry

Bengaluru4mo ago

About the role

<p><strong>About TrueFoundry</strong><br><br>Every production AI system, whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions, needs the same foundational infrastructure. A way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all.</p> <p><strong>That infrastructure layer is being built right now.</strong></p> <p>We're TrueFoundry, and we're building it. We're looking for a Talent Acquisition Specialist (Technical Recruiter) to join the team.</p> <h2><strong>The Problem We're Solving</strong></h2> <p>Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents.</p> <p>The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready.</p> <p>You need a control plane that handles:</p> <ul> <li>Intelligent routing with observability, cost policies, and fallback logic</li> <li>Centralized tool and MCP server management with security and lifecycle controls</li> <li>Agent orchestration with governance and guardrails</li> <li>A unified compute layer to run self-hosted models, custom tools, and agents</li> </ul> <p>We've built two products to solve this:</p> <p><strong>AI Gateway</strong> is the control plane, five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.</p> <p><strong>AI Deploy</strong> is the compute layer, a Kubernetes-based platform that abstracts ML workloads as standard software primitives, so everything runs on unified infrastructure.</p> <p>We're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform.</p> <h2>Role Overview</h2> <p>We are looking for a strategic and highly skilled Recruiter who excels in LinkedIn sourcing and can independently drive full-cycle hiring. This role demands exceptional stakeholder management, strong market intelligence, and the ability to craft deep talent pipelines across technical and business functions.</p> <h2>What are we looking for?</h2> <ul> <li>Lead end-to-end recruitment across engineering, product.</li> <li>Drive advanced LinkedIn sourcing using Boolean search, talent mapping, targeted outreach, and competitive research.</li> <li>Build and maintain strong talent pipelines for current and future hiring needs.</li> <li>Partner with hiring managers to refine role requirements and hiring strategies.</li> <li>Conduct screening calls to assess skills, motivation, and culture fit.</li> <li>Manage interview coordination, feedback loops, and candidate communication.</li> <li>Maintain accurate ATS data and share structured hiring reports.</li> <li>Deliver an exceptional candidate experience throughout the hiring lifecycle.</li> <li>Support employer branding initiatives and recruitment-led campaigns.<br><br></li> </ul> <h2>Requirements</h2> <ul> <li>3–7 years of recruiting experience, ideally in fast-growing tech startups.</li> <li>Demonstrated expertise in LinkedIn Recruiter, Boolean/X-ray searches, and passive talent sourcing.</li> <li>Strong experience hiring technology roles (backend, frontend, ML/AI, infra/SRE).</li> <li>Excellent communication, interpersonal, and stakeholder management skills.</li> <li>Ability to manage multiple open roles with quick turnaround.</li> <li>Familiarity with ATS platforms ( Greenhouse would be preferred).</li> <li>High ownership mindset, strong prioritization, and ability to work independently.<br><br></li> </ul> <h2>Highly appreciated if you have</h2> <ul> <li>Experience hiring across India.</li> <li>Understanding of engineering teams, tech stacks, and AI/ML hiring needs.</li> <li>Prior experience hiring in developer tools or AI startups</li> </ul>

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