2 months ago
Remote, IndiaStaff+
Responsibilities
- Architect and drive the technical evolution of customer-facing AI agents.
- Develop complex multi-agent Super Agent systems capable of reasoning, planning, and executing multi-step tasks.
- Design and implement frameworks for reliable automation of complex business workflows.
- Collaborate with product managers, data scientists, and cross-functional engineering teams on scalable agentic solutions.
- Provide hands-on technical guidance and establish best practices for LLM integration, prompt engineering, and agent orchestration.
- Safeguard the scalability, security, and performance of production AI systems.
- Mentor senior engineers on AI/ML best practices, agentic design patterns, and emerging AI technologies.
Requirements
- 12+ years of experience architecting and developing highly scalable enterprise-level services, platforms, or products.
- Deep expertise building and deploying large-scale distributed enterprise applications.
- Extensive experience with AI/ML frameworks such as PyTorch and TensorFlow, including deploying LLMs and agentic architectures in production.
- Strong understanding of agent orchestration patterns, chain-of-thought prompting, and automated workflow design.
- Proficiency in modern backend stacks including Java, Node.js, Python, and Golang.
- Experience with scalable SQL and NoSQL database technologies.
- Experience with cloud architectures and serverless ecosystems including AWS, GCP, and Azure.
- Excellent communication skills for explaining complex technical and AI concepts to technical and non-technical stakeholders.
- Startup or high-growth environment experience is highly desirable.
Benefits
- Generous paid parental leave
- Flexible time off
- Spending accounts
- Medical insurance
- Dental insurance
- Vision insurance
- Sabbatical after 5 years
- Remote-first work environment
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