Top Tech Jobs & Startup Jobs

Own quality engineering for Generative AI products, including LLM applications, RAG pipelines, AI agents, voice systems, and workflow automation. Design evaluation strategies, automated testing frameworks, benchmark datasets, CI/CD-integrated pipelines, and LLM-as-a-Judge systems. Define KPIs for response quality, hallucination detection, safety, bias, retrieval, latency, and agent workflows. Collaborate with AI, product, and platform teams to establish testing standards, governance, observability, and continuous improvement.

Lead SMB sourcing and engagement, build corporate and government partnerships, enable market access and alternative financing, track SMB growth metrics, and run investor matchmaking and impact storytelling to scale regional SMBs.

Lead identification, engagement, and scaling of high-potential SMBs in the hub. Build partnerships with industry bodies, corporates, and government; support market access, pilots, and public procurement; connect SMBs to grants, impact investments and alternative financing; track growth metrics and develop case studies; run investor matchmaking and ecosystem insights.

Lead state-level sourcing, vetting, and activation of experts, mentors, and practitioners to support skilling and small-business programs. Ensure resource readiness, utilization tracking, quality standards, local knowledge curation, and close coordination with central teams to align supply with program demand and measurable outcomes.

Owns advisor (Venture Partner) relationships and sprint execution for accelerator portfolio companies: ensures calls and follow-through, assesses sprint quality, collects feedback, maintains dashboards, and flags issues to drive measurable company progress.

Convert ad-hoc programme components into repeatable, scalable products with defined scope and playbooks. Design and productize community, alumni engagement, and sector-focused sprint offerings. Build provider networks, validate demand analytically, and apply structured consulting problem-solving to ambiguous programme design challenges.

Lead identification and engagement of high-potential SMBs, facilitate corporate partnerships, market access, and alternative financing, track SMB growth metrics, and run investor matchmaking and ecosystem development activities.

Lead end-to-end design, delivery, and scaling of regional skilling programs. Build employer and training partner ecosystems, engage government and academic stakeholders, institutionalize student lifecycle processes, and measure training-to-placement outcomes to drive sustainable employment impact.

The AI Solution Architect will design scalable architectures for AI systems, optimize AI pipelines, establish reliability frameworks, and collaborate with engineering and product teams.

The Employer Partnership Lead drives employer partnerships to create jobs, analyzes market trends, and collaborates with various sectors to enhance training and placement programs.