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Remote mid-level title and 4–5 year band increase applicants, while niche LLM/agent requirement reduces density.
Highly specialized LLM/agent engineering focus limits cross-industry transferability.
Explicit 4–5 years plus mandatory hands-on LLM/agent experience and production Python increases filtering strictness.
Own the technical design, delivery, and engineering quality of chat team projects involving agentic systems.
Shape engineering priorities, standards, and technical decisions while mentoring junior developers through design guidance and code reviews.
Drive improvements in system reliability, observability, latency, cost, and AI-native workflows leveraging coding agents.
Approximately 4–5 years of professional software engineering experience.
Proficient in Python with strong programming fundamentals and experience building, operating production systems.
Hands-on experience building LLM or agentic applications and power user of agentic coding workflows.
Work Experience Required: Approximately 4–5 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in designing simple, maintainable abstractions and systems with strong API design, concurrency, error handling, and observability skills.
Demonstrated ability to mentor and improve junior developers' programming and system design abilities, and drive team-wide AI-native initiatives.
Skilled in evaluating and applying coding agents effectively across the software development lifecycle to increase team efficiency and code quality.