Quick overview
Job description
About the Role
Join an early-stage team building applied AI products for freight and logistics workflows. You will take problems from customer discovery through implementation and production monitoring, with a focus on reliable voice and email agents.
What You'll Do
Own features end to end, from scoping customer needs to building, deploying, and monitoring production systems.
Build voice and email agents, including speech pipelines, LLM orchestration, and guarded tool use.
Develop full-stack product capabilities using React, Next.js, Python, and TypeScript.
Create evaluation and testing systems, including golden datasets, regression checks, hallucination checks, and tool-call correctness tests.
Design for streaming, concurrency, latency, scale, and cost, and use retrieval approaches where appropriate.
Use AI coding tools while independently verifying their output.
What We're Looking For
At least 5 years of experience shipping production software with end-to-end ownership across the stack.
Proficiency in Python and TypeScript/React, with experience in both front-end and back-end development.
Experience taking LLM features to production, including architecture, retrieval, and tool calling.
Strong AI evaluation practices, including offline and online checks, regression testing, and hallucination testing.
Experience with streaming, concurrency, SQL, and system design for scale and cost.
Background in voice or real-time systems, such as STT/TTS, barge-in, telephony, or latency-sensitive pipelines.
Comfort working as an early-stage engineer without an established playbook; experience with multi-agent systems, functional languages, open-source projects, or competitive programming is also relevant.
Currently residing in India, able to work IST hours, and equipped for remote work with reliable internet.
Compensation & Benefits
Compensation is $5,000 to $9,000 USD. Visa sponsorship is not available; candidates must be eligible to work in India without sponsorship.
Location
Remote, India. The role requires working during Indian Standard Time hours.
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