-Strong interest and basic knowledge in marketing, especially social media- Passionate about planning and executing content- Familiar with major social media platforms (Instagram, TikTok, Facebook, etc.)- Up-to-date with current trends, topics, and online conversations- Creative thinker with a good sense of what makes content engaging and shareable- Basic to intermediate editing skills (CapCut, Canva, or similar tools).- Strong awareness of social media trends, viral content, and audience behaviour.- Basic copywriting skills for captions and short-form content.- Good time management skills and ability to meet deadlines.- Good communication skills and ability to work independently as well as in a team environment.- Creative and open to experimenting with new ideas- Responsible and able to manage tasks independently- Positive attitude and receptive to feedback- Strong sense of ownership and accountability in assigned tasks
Campaign Planning: Develop and implement digital media buying strategies that align with client goals and objectives.
Media Buying: Execute and manage media buys across multiple digital platforms, including social media, search engines, display networks, and programmatic channels.
Budget Management: Allocate and manage budgets effectively to ensure optimal spending and maximum ROI.
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Engineering: 10+ years professional software engineering. Strong CS fundamentals. Strong TypeScript/JavaScript and Python. Extensive backend engineering. React/Next.js. Production-scale systems, distributed systems, databases, data-intensive applications, production deployment and operations.
AI / Agentic Systems: strong hands-on experience with several of — Claude/Anthropic, LLM APIs, agentic workflows, tool-using agents, function calling, multi-agent systems, agent memory, RAG, planning systems, reflection loops, evaluation frameworks, autonomous workflows, AI experimentation, LLM observability, prompt optimization, model routing.
We are particularly interested in engineers who have built these systems themselves, not engineers who have only read about them. You should be able to show us production AI systems, agents executing real tasks, complex tool-use workflows, autonomous or semi-autonomous systems, AI evaluation systems, self-improving workflows, and large-scale distributed systems.
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