Senior Software Engineer - Chat & Agent Systems
New
K
Kantiv (formerly Joist AI)Software Engineering
Remote - IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–5 years
- Required Skills
- PythonLLM
Requirements
- Approximately 4–5 years of professional software engineering experience.
- Strong proficiency in Python, including writing idiomatic, typed, testable, and maintainable production code.
- Strong programming fundamentals and consistently sound engineering judgment.
- Experience designing, delivering, and operating production systems.
- Strong knowledge of API design, data modeling, concurrency, error handling, and observability.
- Experience writing effective automated tests with tools such as pytest.
- Ability to review code beyond surface-level concerns.
- Experience mentoring junior developers and improving the quality of their work.
- Hands-on experience building LLM or agentic applications.
- Experience with tool-calling or multi-step workflows using LangGraph or comparable frameworks.
- Proficiency in observability platforms like Langfuse or LangSmith.
- Experience as a power user of agentic coding workflows for engineering tasks.
Responsibilities
- Own the technical design and delivery of chat-team projects.
- Shape engineering priorities, standards, and day-to-day technical decisions.
- Turn product requirements into simple, maintainable system designs.
- Write production Python and remain closely involved in implementation.
- Review pull requests for correctness, maintainability, test coverage, and overall design quality.
- Help junior developers strengthen their programming and system-design judgment.
- Diagnose production issues across application code, agent workflows, prompts, models, data, and infrastructure.
- Improve the reliability, observability, latency, and cost of our chat systems.
- Take initiative in making the team more AI-native by improving how we use coding agents throughout the development lifecycle.
- Mentor other engineers in effective agentic coding workflows, including planning, implementation, testing, debugging, and code review.
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