Senior AI Engineer – Chat & Agent Systems

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

📋 Description

• Take ownership of the technical design and execution of chat-team projects.

• Establish engineering priorities, standards, and daily technical decisions.

• Convert product requirements into straightforward, maintainable system architectures.

• Write production-level Python code and remain active in the implementation process.

• Create abstractions that simplify complexity without unnecessary engineering.

• Review pull requests for accuracy, maintainability, test coverage, and design quality.

• Mentor junior developers in programming practices and system design.

• Troubleshoot production issues related to application code, agent workflows, prompts, models, data, and infrastructure.

• Enhance the reliability, observability, latency, and cost-effectiveness of chat systems.

• Optimize the team’s utilization of coding agents throughout the development lifecycle.

• Guide engineers in agentic coding practices.

• Spearhead initiatives that improve the team’s efficiency and AI integration.

⛳️ Requirements

• Approximately 4–5 years of professional experience in software engineering.

• Strong command of Python, specifically in producing idiomatic, typed, testable, and maintainable production code.

• Solid programming fundamentals and sound engineering judgment.

• Experience in designing, delivering, and maintaining production systems.

• Ability to create meaningful abstractions while keeping systems simple and comprehensible.

• In-depth knowledge of API design, data modeling, concurrency, error handling, and observability.

• Experience in writing effective automated tests using tools such as pytest.

• Capability to conduct thorough code reviews and articulate suggested modifications.

• Experience in mentoring junior developers.

• Required experience in building LLM or agent-based applications.

• Familiarity with LangGraph or similar agent frameworks, tool-calling, and multi-step workflows.

• Knowledge of conversation state, context management, execution flows, model APIs, structured outputs, retrieval, and grounding.

• Experience with streaming responses and asynchronous execution.

• Ability to evaluate prompts, models, and end-to-end agent functionality.

• Experience using Langfuse, LangSmith, or similar observability tools.

• Proven ability to manage reliability, latency, and cost in production LLM systems.

• Advanced proficiency with agentic coding workflows.

• Skill in utilizing coding agents for exploration, planning, implementation, testing, debugging, and review.

• Ability to assess generated code for accuracy, security, maintainability, and unnecessary complexity.

• Capability to design accountable development workflows leveraging agents and automation.

• Strong written and verbal communication skills.

🏝️ Benefits

• Competitive salary and incentive programs.

• Flexible working hours and the option for remote work.

• Opportunities for professional development and growth.

• Collaborative and inclusive work environment.