Top Tech Jobs & Startup Jobs

Design, build, and operate terabyte-scale data storage and ingestion platforms for on-premise and air-gapped AI deployments. Implement indexing, partitioning, query optimisation, pipeline orchestration, observability, capacity planning, and infrastructure automation while collaborating with data scientists and product teams.

Lead an AI product area end-to-end: speak with users, write specs, ship weekly, instrument funnels, and measure outcomes. Work on prompt design, model selection, latency/failure modes, eval pipelines, and occasionally write code, prompts, and copy. Collaborate directly with engineering and design to iterate rapidly and deliver production-ready AI features across consumer, enterprise, and edge use cases.

Work with product and customers to design, build, deploy, monitor, and iterate production-grade agentic AI systems across channels. Implement multi-agent architectures, data pipelines, integrations, and evaluation metrics; own client engagements from kickoff to go-live.

Own go-to-market for the Vision team's products (Akshar Platform, Document Intelligence and Vision APIs). Demo products, follow up leads, manage RFPs, support enterprise clients post-sale, and relay market feedback into actionable product requests. Work closely with API GTM, Sales, and Product teams to translate client needs into product priorities while developing strong product and technical understanding.

Build and optimise Python-based, low-latency, fault-tolerant, cloud-agnostic APIs (HTTP, WebSockets, gRPC) to serve ML models at scale; integrate databases (Postgres, Redis, ClickHouse), streaming (Kafka, Redis Streams), cloud platforms, CI/CD, and observability for reliable multi-cloud inference.

Build and deploy vision-language models across the full lifecycle: data pipelines, training/fine-tuning on GPU clusters, evaluation and benchmarks, inference optimization, production integrations, and client-facing solutions for document processing and visual search.

Own financial reporting, controllership, compliance, and accounting operations. Manage month/quarter/year close, audits, tax filings, AP/AR/payroll, build management reporting, automate finance processes, and support fundraising and international consolidation.

Lead and manage client engagements end-to-end: scope, align, translate operational problems into technical briefs, track delivery, manage expectations, drive resolution, develop pipeline and grow account relationships while partnering with deployment and engineering teams.

Build production-grade, performant frontend interfaces for AI-driven enterprise use cases (geospatial, simulation, NLP layers, dashboards). Own component architecture, deployment of reusable product atoms in offline-first, low-bandwidth client environments. Collaborate with backend, PM, and deployment teams; contribute to shared frontend infrastructure, participate in field testing and user feedback loops.

Lead outbound prospecting to generate qualified enterprise SaaS leads via cold calls, email and LinkedIn. Conduct discovery calls, qualify opportunities, collaborate with account executives and marketing, and maintain CRM records to accelerate pipeline growth.