Top Tech Jobs & Startup Jobs

Lead Sarvam's security strategy and architecture for AI infrastructure and products. Perform BFSI-grade threat modeling, secure APIs and data isolation, drive vulnerability discovery/remediation, run adversarial testing and red teams, integrate security into CI/CD, and improve cloud IAM, secrets management, and detection/response.

Own product roadmaps for ASR, TTS, and model evaluation. Coordinate data collection, training cycles, and releases. Build evaluation frameworks and run experiments (offline, A/B, human) to improve accuracy, latency, MOS, and robustness. Ensure scalable deployment, monitoring, and translate business needs into measurable model goals.

Design and maintain domain-specific evaluation frameworks for LLMs and AI systems: define quality metrics, run pre/post-deployment evaluation cycles, build dashboards, find failure modes and distribution shifts, operationalize automated eval pipelines with MLOps, manage datasets and annotation workflows, and publish quality reports.

Deploy alongside clients to transform heterogeneous multimodal data into semantic structures for AI reasoning. Design ontologies, segmentation, embedding and retrieval strategies, collaborate on ingestion pipelines, evaluate retrieval and reasoning performance, and translate insights into product and engineering signals.

Design, build, and maintain scalable backend services and APIs for a voice/AI dialogue platform. Optimize schemas and queries, ensure observability and reliability, resolve scaling/latency issues, integrate models into production, enforce security and best practices, and collaborate across product, frontend, and DevOps teams.

Lead go-to-market and positioning for enterprise AI products. Build vertical narratives, sales enablement content, case studies, demos, and ROI benchmarks. Partner with product and sales, gather field insights, and support long-cycle enterprise deals in financial services, public sector, and healthcare.

Own and scale partnerships with India-based and India-operating global GSIs. Drive joint business plans, co-sell motions, partner-sourced deals, co-marketing, certification programs, and product feedback to generate measurable revenue across BFSI, public sector, manufacturing, and telco.

Build and scale high-throughput, low-latency Vision APIs and platform infrastructure. Develop Python/FastAPI services, implement observability, security, CI/CD, container orchestration, async task processing, and real-time HTTP/WebSocket communication across cloud environments.

Conduct research across vision-language model lifecycles: architecture, training (pretraining, SFT, RLHF, DPO), data strategies, evaluation and benchmarks for Indic multimodal tasks; diagnose failures, improve robustness and interpretability, prototype at scale, and engage with open-source and research community.

Own the full enterprise sales cycle: prospect, engage C-level stakeholders, conduct discovery, negotiate and close deals. Collaborate with BDRs/SDRs, marketing, and product, maintain CRM discipline, forecast pipeline, and ensure smooth handoffs to customer success to drive acquisition and long-term partnerships.