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Own projects end to end, from discovering customer problems to building, deploying, and monitoring full-stack production solutions. Develop voice and email AI agents, build retrieval and evaluation systems, and design for reliability, latency, scale, and cost while investigating production failures.
Join an early-stage transportation and logistics technology team building production AI systems for freight workflows. You will own projects end to end, from customer problem discovery through deployment and production monitoring, with a focus on voice and email agents.
Scope customer problems, build full-stack solutions, deploy them, and monitor production behavior.
Develop voice and email agents, including speech pipelines, LLM orchestration, and reliable tool use.
Build and maintain retrieval, evaluation, and testing systems for AI features.
Design for streaming, concurrency, latency, scale, and cost, and investigate production failures.
Use AI-assisted development tools while independently checking their output.
At least 5 years of experience shipping production software with end-to-end ownership.
Proficiency across frontend and backend development, including Python, TypeScript, and React.
Experience taking LLM features to production, including architecture, tool calling, and retrieval.
Experience evaluating AI systems with golden datasets, offline and online checks, regression and hallucination testing, and tool-call correctness.
Knowledge of SQL, streaming, concurrency, system design, and reasoning about scale and cost.
Experience with voice or real-time systems, such as STT/TTS, barge-in, latency budgets, or telephony.
Comfort working as an early-stage engineer without an established playbook; familiarity with functional or hardware description languages, multi-agent systems, large-scale projects, or competitive programming is also relevant.
Currently residing in India, able to work IST hours, and eligible to work in India without sponsorship; reliable remote-work connectivity is required.
Compensation is $5,000 to $9,000 USD. Visa sponsorship is not available.
Remote within India, with work hours aligned to India Standard Time.
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