Software Engineer, AI Agent at NewsBreak

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

225000.0

Posted On

03 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Python, API Design, Database Modeling, Middleware, AI Products, Foundation Models, Context Engineering, System Design, Debugging, Production Readiness, Model Fine-Tuning, Frontend Development, AI Agent Products, LLM Orchestration

Industry

Software Development

Description

About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about Mountain View, California, United States Responsibilities Design and develop backend infrastructure for AI Agent products, including APIs, databases, caching, and task orchestration Implement Agent execution logic — context management, tool invocation, model coordination, and workflow tracking Integrate multiple foundation models and external data or API sources Optimize system throughput, latency, and reliability for scalable deployment Collaborate cross-functionally with product and ML teams to iterate quickly on AI-driven features Requirements Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields; Strong backend engineering experience in Python (or Go / Node.js), including API design, database modeling, and middleware such as Redis / Kafka / MQ; A power user or active builder of AI products, with a deep understanding of AI interaction patterns and system behaviors; Familiar with major foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.) and their APIs, context limits, and response styles; Experience in Context Engineering / RAG / Prompt Engineering, with understanding of how retrieval and context design affect model performance; Solid skills in system design, debugging, and production readiness. Preferred Qualifications: Experience with model fine-tuning / LoRA / RLHF; Basic frontend development experience (React, Next.js, or Vue); Hands-on experience building or launching AI Agent products from scratch; Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex, SGLang, vLLM, FastAPI, etc.). Benefits We offer a competitive benefits package: Health, dental, and vision care for you and your family (100% coverage for employee) Top-tier 401(K) plan with company matching Paid time off and paid holidays FSA, HSA and commuter benefits programs Team activity budget The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $135,000—$225,000 USD CPRA Privacy Notice for California Candidates

Responsibilities

Design and develop backend infrastructure for AI Agent products, including APIs and databases. Collaborate cross-functionally with product and ML teams to iterate quickly on AI-driven features.