AI-Native Full-Stack Software Engineer / Technical Project Manager

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, test, deploy, and maintain comprehensive product features across the full stack.

• Create AI-native applications and workflows utilizing autonomous agents, LLMs, tools, APIs, retrieval systems, and structured data.

• Construct agentic systems that are capable of planning and executing multi-step tasks with features such as observability, evaluation, permissions, and human oversight.

• Employ autonomous development agents for various functions including implementation, testing, debugging, refactoring, documentation, and code review.

• Develop and manage multi-agent workflows throughout product discovery, architecture, development, testing, security, deployment, and maintenance phases.

• Define agent roles, communication protocols, permissions, escalation procedures, and quality assurance measures.

• Design backend services, APIs, data models, integrations, and modern frontend user experiences.

• Make architectural decisions focused on scalability, reliability, security, cost-effectiveness, and maintainability.

• Establish evaluation frameworks and feedback mechanisms to assess agent quality, accuracy, reliability, and business impact.

• Develop safeguards against architectural drift, security risks, unreliable code, and unnecessary complexity.

• Implement measures to guard against hallucinations, prompt injections, excessive permissions, data leaks, and unreliable tool execution.

• Evaluate software factory effectiveness based on delivery speed, defect rates, test coverage, reliability, costs, and business outcomes.

• Work with cloud infrastructure, CI/CD pipelines, containers, logs, monitoring tools, secrets, environments, and production deployments.

• Apply foundational cybersecurity principles in application development and infrastructure practices.

• Collaborate with founders, product stakeholders, customers, and engineering teams.

• Take ownership of projects from problem identification through to production deployment and ongoing enhancements.

• Assess emerging frameworks, models, protocols, and development practices related to agentic AI.

• Gradually coordinate the agent swarm while shaping the AI-native engineering organization.

• Deliver impactful full-stack features into production.

• Establish autonomous-agent workflows to enhance engineering efficiency and quality.

• Contribute to architectural improvements across application, AI, data, security, and infrastructure layers.

• Enhance the reliability, security, and observability of agentic systems.

• Create repeatable workflows for agents to implement, test, review, and document software.

• Exhibit project ownership from conception through to measurable production results.

⛳️ Requirements

• Approximately 5–8 years of professional software engineering experience or equivalent demonstrated capability.

• Proven experience in owning delivery from start to finish and successfully completing products.

• Strong skills in full-stack development.

• Familiarity with React, Next.js, or similar frontend frameworks.

• Backend development experience with Python, TypeScript, Node.js, or comparable technologies.

• Experience with REST, GraphQL, event-driven, or asynchronous integrations.

• Proficiency with relational and/or NoSQL databases.

• Solid understanding of software architecture, API design, data modeling, testing, and production engineering.

• Practical experience in working with LLMs or agentic AI systems.

• Knowledge of tool usage, function calling, planning, multi-step execution, agent orchestration, delegation, multi-agent collaboration, memory management, context management, retrieval-augmented generation, structured outputs, validation processes, model routing, evaluations, tracing, observability, guardrails, permission boundaries, and human-in-the-loop workflows.

• Ability to critically evaluate AI-generated code through tests, reviews, security assessments, and architectural reasoning.

• Experience with cloud infrastructure, containers, CI/CD practices, production monitoring, and deployment methodologies.

• Basic knowledge of cybersecurity including authentication, authorization, encryption, secrets management, secure API design, dependency and supply-chain security, data privacy, access controls, and common web application vulnerabilities.

• Strong sense of ownership, curiosity, and adaptability in a dynamic startup environment.

• Eagerness to stay at the forefront of agentic AI and AI-native software development.

• Excellent written and verbal communication skills.

• Availability between approximately 6:00 PM and 12:00 AM IST for necessary meetings and live collaboration.

• Commitment to approximately 50 hours per week.

• Availability during critical deployments and incident responses.

🏝️ Benefits

• Competitive compensation based on demonstrated skills and experience.

• Fully remote work environment.

• Equipment allowance provided.

• Local public holidays observed.

• Flexible paid time off policy.

• Direct and regular access to the founders, without intermediaries.

• Significant ownership and influence over product and technical direction.

• Hands-on experience with cutting-edge autonomous and agentic AI development.

• Opportunity to help establish an AI-native software factory from the ground up.

• Pathway to lead a coordinated swarm of specialized software development agents.

• Fast-paced learning, rapid experimentation, and short feedback cycles.

• Engaging work alongside ambitious and curious colleagues.

• Opportunities for personal and professional growth in line with company success.

• A demanding yet energetic, collaborative, and enjoyable work culture.