Senior Software Engineer, Agentic Ads Experience
Senior software engineer on Reddit's Agentic Ads Experience team, designing and shipping AI-powered advertiser-facing features (campaign assistants, creative generation, audience discovery, conversational analytics) end-to-end using LLMs, agents, RAG, evals, and strong systems engineering in languages like Python, Go, Rust, Java, or JavaScript.
- Compensation
- $190.8K–$267.1K / yr
- Location
- Remote - United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of experience as a software engineer with a track record of shipping and operating production systems
- Hands-on experience building generative AI applications: structured outputs, function/tool calling, prompt and context design, RAG, model routing, and handling model failure modes
- Genuine enthusiasm for agents and LLMs; follows the space closely and has opinions on the tools and ecosystem
- Strong systems fundamentals: APIs, distributed systems, queues, data stores, service ownership, auth, idempotency, retries, and observability
- Experience defining evals and measurement for AI systems — offline datasets, online metrics, and launch quality bars
- Fluent with AI coding tools and code-assistant workflows in day-to-day engineering
- Excellent communication skills; can collaborate effectively in a remote environment and explain complex AI trade-offs to technical and non-technical audiences
- Extensive software development experience in one or more general purpose languages: Python, Golang, Rust, Java, JavaScript, etc.
Nice to have
- Experience in Ads, marketing technology, marketplaces, growth, recommendations, search, or analytics
- Experience building AI systems where mistakes are expensive: customer-facing products, regulated workflows, policy review, payments, or high-scale infrastructure
- Experience building internal workflow automation for sales, ops, support, policy, trust, or engineering productivity
Full description
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit .
Team Description
Reddit's Ads business is at an inflection point, and generative AI is reshaping how advertisers plan, build, launch, measure, and optimize campaigns. The Agentic Ads Experience team is building the next generation of advertiser-facing interfaces: campaign assistants, creative and ad copy generation, one-click campaign creation, audience discovery, conversational analytics, and optimization recommendations. This is a unique opportunity to join a fast-moving team shipping generative AI/agentic systems into a high-growth Ads product, where every launch has direct advertiser and revenue impact.
Role Description
As a Senior Software Engineer on the Agentic Ads Experience team, you will design, build, and ship AI-powered product experiences that change how advertisers work with Reddit Ads Platform. You will own features end-to-end: framing the problem, choosing the right combination of software, LLM calls, tools, orchestration, and guardrails, and driving them through rollout, measurement, and refinement. The ideal candidate is a strong product-focused software engineer with hands-on generative AI application experience, who has an opinionated point of view on where agents, workflows, skills, and retrieval belong, and who cares deeply about shipping reliable systems that advertisers actually trust.
Responsibilities:
- Product Execution: Design and ship advertiser-facing AI features and platform (campaign assistants, creative generation, audience discovery, performance analytics, optimization recommendations) end-to-end, from prototype to GA.
- Agentic Systems Design: Make the right architectural calls on if and how to use generative AI, whether it’s a single-shot LLM call, a workflow, a skill, a retrieval system, an agent loop, human review, or no AI at all.
- Reliability and Guardrails: Build for the failure modes of LLMs — structured outputs, tool/action boundaries, retries, cost controls, tracing, evals, and human-in-the-loop where it matters.
- Measurement: Define offline and online evals, instrument traces, run A/B tests, and connect model and product metrics to advertiser and business outcomes.
- Safety and Trust: Design for data isolation, permissioning, auditability, and policy compliance when AI systems take action on behalf of advertisers.
- Collaboration: Partner closely with PM, Design, Data Science, ML Platform, Trust, and sales/ops to turn ambiguous problems into concrete, shippable systems. Collaborate with other product teams on how best to expose their services and capabilities to the platform’s centralized agent(s).