We are looking for a highly capable Lead Software Engineer who can design, build, and scale AI-native
applications and AI Agents alongside modern full-stack systems.
This role goes beyond traditional development. You will be responsible for architecting intelligent
agent-based systems, ensuring high-quality AI behavior, and leveraging AI-powered development tools
to accelerate delivery without compromising reliability.
You will lead by example through hands-on coding, strong problem-solving, and technical mentorship,
while setting a high bar for AI agent quality, robustness, and maintainability.
Key Responsibilities
Core Engineering
? Design and develop robust, scalable, and secure full-stack web applications.
? Architect backend systems with a strong focus on maintainability, observability, and
performance.
? Collaborate with product, AI, and DevOps teams to translate business problems into technical
solutions.
? Write clean, efficient, testable, and well-documented code.
? Conduct rigorous code reviews and enforce engineering best practices.
AI Agent & GenAI Responsibilities
? Design, build, and maintain AI Agents for real-world production use cases.
? Work hands-on with LangChain and LangGraph to orchestrate multi-step, tool-using, and
stateful agents.
? Ensure AI Agent quality remains top-notch, including:
? Accuracy and relevance of responses
? Deterministic behavior where required
? Guardrails, fallbacks, and failure handling
? Evaluation, testing, and continuous improvement
? Define patterns for prompt engineering, memory management, tool invocation, and agent
supervision.
? Collaborate on integrating LLMs with APIs, databases, workflows, and external systems.
Productivity & Engineering Excellence
? Actively leverage AI code generation tools (Copilot, Cursor, GPT-based tools, etc.) to improve
speed and consistency.
? Review and validate AI-generated code to ensure production-grade quality and security.
? Identify technical risks early, especially in AI-driven systems, and proactively propose solutions.
? Mentor team members in both traditional engineering and AI-native development practices.