Backend Software Engineer, ML - Mid-Staff Levels
Backend Software Engineer, ML - Mid-Staff Levels
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This range is provided by Third Republic. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$170,000.00/yr - $270,000.00/yr
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Partnering with scaling AI & frontier tech companies, to build elite Software & ML Teams (SF-first, US-wide)
The Company:
A rapidly growing AI technology company based in San Francisco, revolutionizing the logistics industry by automating manual workflows with agentic AI. Their leadership team previously scaled a last‑mile logistics startup to 450 employees and a $2.1 B acquisition by Shopify; they’ve now raised $25 M in Series A funding to tackle freight brokerage, trucking, warehousing, and beyond. By embedding AI agents into Transportation Management Systems, they eliminate repetitive tasks - email correspondence, phone‑based shipment tracking, invoicing - to drive efficiency, reduce errors, and empower brokers to focus on high‑value work.
Role Overview:
My client seeks hands‑on engineers who have built products from 0→1, possess strong systems‑design skills, and are passionate about AI‑driven applications. Candidates will design, develop, test, deploy, and maintain core backend infrastructure that powers LLM workflows, voice‑AI skills, and integrations with enterprise logistics platforms.
Key Responsibilities:
- Build and scale microservices that orchestrate AI agents for logistics workflows (proof‑of‑delivery, track‑and‑trace, carrier selection).
- Develop “skills” libraries enabling agents to send emails, place calls, and interact via chat platforms.
- Integrate with brokers’ TMS platforms via REST APIs, message queues (SQS/SNS), and webhooks.
- Implement voice‑AI pipelines for automated outbound calls and real‑time user interactions.
- Collaborate in fast‑paced sprints, iterating on features, refining system performance, and ensuring reliability through comprehensive monitoring and testing.
Ideal Candidate Profile
- 0→1 Experience: Demonstrated ability to ship new products or major features end‑to‑end.
- Systems Design: Strong at framing requirements, diagramming architecture, evaluating trade‑offs (scalability, failure modes, multi‑tenancy), and articulating design decisions.
- Cloud Proficiency: Hands‑on AWS experience (SQS, SNS, RDS, Lambda, ECS/EKS, IaC).
- AI/LLM Integration: Experience building or deploying Retrieval‑Augmented Generation (RAG) pipelines, agentic workflows, or voice‑AI features using OpenAI, Anthropic, Llama, Eleven Labs, etc.
- Startup Mindset: Thrives in scrappy environments, communicates clearly with cross‑functional partners, and takes full ownership of deliverables.
- Competitive base salary with equity package
- Comprehensive health, dental, and vision coverage
- Unlimited PTO and flexible hybrid schedule
- 401(k) plan
They welcome candidates who are energised by AI, curious by nature, and eager to make a tangible impact on one of the world’s most complex industries.
Send an email to if you'd like to apply!
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Technology, Information and Media
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