Senior Full Stack Engineer
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Role details
Tech stack
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Job description
We are a consumer AI studio, which has shipped and grown multiple products in the past to millions of users. We are currently looking for a Senior Engineering lead to join our team for our next platform around AI Agents.Requirements:You have experience in end to end application development - full stack development, front end, backend, infrastructure and ops across multiple stacks (Typescript, Javascript, MERN)You have shipped products and worked with product teams towards design, UXYou are hands on and write robust codeYou have some understanding of AI agent systemsYou have good working proficiency in English, especially writtenYou have extraordinary problem solving skills, particularly in debugging complex multi-agent interactions and emergent behaviorsBonus:You are a graduate of a top tier universityYou have worked on a well known productStrong proficiency in programming languages such as JavaScript, Go, and Rust.Demonstrable skills in both Backend and Frontend development at large scale, such as React, Tailwind, Node, Redis, MongoDB, and DockerStrong proficiency in AWS cloud infrastructure at scale, with Demonstrable skills in cost management.Strong proficiency in AI LLM Inference, and AI Model fine-tuning.You have deep experience building and scaling AI agent infrastructure, including:Multi-agent orchestration systems and workflow managementAgent reasoning frameworks, decision trees, and planning algorithmsTool integration architectures and function calling systemsAgent memory management, context persistence, and state handlingReal-time agent coordination and communication protocolsYou have experience in AI training, fine-tuning inference and deployment - personal projects countYou have built or contributed to open-source agent frameworks, LLM orchestration tools, or autonomous system librariesYou have experience with reinforcement learning, particularly in multi-agent environmentsYou understand the theoretical foundations of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts, etc.)You have a network of highly talented engineers and can grow into a leadership roleYou are strongly opinionated about the future of technology. You are not just an executor but have an independent visionBenefits:Paid Time Off (Vacation, Sick & Public Holidays)Family Leave (Maternity, Paternity)Work From HomeStock Option PlanNo visa sponsorship. We are a consumer AI studio, which has shipped and grown multiple products in the past to millions of users. We are currently looking for a Senior Engineering lead to join our team for our next platform around AI Agents.Requirements:You have experience in end to end application development - full stack development, front end, backend, infrastructure and ops across multiple stacks (Typescript, Javascript, MERN)You have shipped products and worked with product teams towards design, UXYou are hands on and write robust codeYou have some understanding of AI agent systemsYou have good working proficiency in English, especially writtenYou have extraordinary problem solving skills, particularly in debugging complex multi-agent interactions and emergent behaviorsBonus:You are a graduate of a top tier universityYou have worked on a well known productStrong proficiency in programming languages such as JavaScript, Go, and Rust.Demonstrable skills in both Backend and Frontend development at large scale, such as React, Tailwind, Node, Redis, MongoDB, and DockerStrong proficiency in AWS cloud infrastructure at scale, with Demonstrable skills in cost management.Strong proficiency in AI LLM Inference, and AI Model fine-tuning.You have deep experience building and scaling AI agent infrastructure, including:Multi-agent orchestration systems and workflow managementAgent reasoning frameworks, decision trees, and planning algorithmsTool integration architectures and function calling systemsAgent memory management, context persistence, and state handlingReal-time agent coordination and communication protocolsYou have experience in AI training, fine-tuning inference and deployment - personal projects countYou have built or contributed to open-source agent frameworks, LLM orchestration tools, or autonomous system librariesYou have experience with reinforcement learning, particularly in multi-agent environmentsYou understand the theoretical foundations of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts, etc.)You have a network of highly talented engineers and can grow into a leadership roleYou are strongly opinionated about the future of technology. You are not just an executor but have an independent visionBenefits:Paid Time Off (Vacation, Sick & Public Holidays)Family Leave (Maternity, Paternity)Work From HomeStock Option PlanNo visa sponsorship. We are a consumer AI studio, which has shipped and grown multiple products in the past to millions of users. We are currently looking for a Senior Engineering lead to join our team for our next platform around AI Agents.Requirements:You have experience in end to end application development - full stack development, front end, backend, infrastructure and ops across multiple stacks (Typescript, Javascript, MERN)You have shipped products and worked with product teams towards design, UXYou are hands on and write robust codeYou have some understanding of AI agent systemsYou have good working proficiency in English, especially writtenYou have extraordinary problem solving skills, particularly in debugging complex multi-agent interactions and emergent behaviorsBonus:You are a graduate of a top tier universityYou have worked on a well known productStrong proficiency in programming languages such as JavaScript, Go, and Rust.Demonstrable skills in both Backend and Frontend development at large scale, such as React, Tailwind, Node, Redis, MongoDB, and DockerStrong proficiency in AWS cloud infrastructure at scale, with Demonstrable skills in cost management.Strong proficiency in AI LLM Inference, and AI Model fine-tuning.You have deep experience building and scaling AI agent infrastructure, including:Multi-agent orchestration systems and workflow managementAgent reasoning frameworks, decision trees, and planning algorithmsTool integration architectures and function calling systemsAgent memory management, context persistence, and state handlingReal-time agent coordination and communication protocolsYou have experience in AI training, fine-tuning inference and deployment - personal projects countYou have built or contributed to open-source agent frameworks, LLM orchestration tools, or autonomous system librariesYou have experience with reinforcement learning, particularly in multi-agent environmentsYou understand the theoretical foundations of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts, etc.)You have a network of highly talented engineers and can grow into a leadership roleYou are strongly opinionated about the future of technology. You are not just an executor but have an independent visionBenefits:Paid Time Off (Vacation, Sick & Public Holidays)Family Leave (Maternity, Paternity)Work From HomeStock Option PlanNo visa sponsorship.
Requirements
- You have experience in end to end application development - full stack development, front end, backend, infrastructure and ops across multiple stacks (Typescript, Javascript, MERN)
- You have shipped products and worked with product teams towards design, UX
- You are hands on and write robust code
- You have some understanding of AI agent systems
- You have good working proficiency in English, especially written
- You have extraordinary problem solving skills, particularly in debugging complex multi-agent interactions and emergent behaviors
Bonus:
- You are a graduate of a top tier university
- You have worked on a well known product
- Strong proficiency in programming languages such as JavaScript, Go, and Rust.
- Demonstrable skills in both Backend and Frontend development at large scale, such as React, Tailwind, Node, Redis, MongoDB, and Docker
- Strong proficiency in AWS cloud infrastructure at scale, with Demonstrable skills in cost management.
- Strong proficiency in AI LLM Inference, and AI Model fine-tuning.
- You have deep experience building and scaling AI agent infrastructure, including:
- Multi-agent orchestration systems and workflow management
- Agent reasoning frameworks, decision trees, and planning algorithms
- Tool integration architectures and function calling systems
- Agent memory management, context persistence, and state handling
- Real-time agent coordination and communication protocols
- You have experience in AI training, fine-tuning inference and deployment - personal projects count
- You have built or contributed to open-source agent frameworks, LLM orchestration tools, or autonomous system libraries
- You have experience with reinforcement learning, particularly in multi-agent environments
- You understand the theoretical foundations of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts, etc.)
- You have a network of highly talented engineers and can grow into a leadership role
- You are strongly opinionated about the future of technology. You are not just an executor but have an independent vision
Benefits & conditions
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Work From Home
- Stock Option Plan
No visa sponsorship.
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