Software Engineer, Agent Optimization & Evaluation
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This role on the market
270 open optimization roles across 80 companies are on ApplySarthi right now, most of them in Bengaluru (6), Delhi NCR (2), Hyderabad (1).
- Software Dev Engineer II, SCOT-FO, Shipment Optimization (ATROPS)Amazon
- Software Enabling and Optimization EngineerIntel
- Basking Ridge, NJ: V Teamer for a Day: Verizon Consumer Group: Call Routing Optimization Engineering Summer 2027 InternshipVerizon
- Logistics Planning & Optimization Senior Para-ProfessionalHitachi
- CRO Manager – Growth & Conversion OptimizationJobgether
What optimization roles keep asking for: Python (34%), Machine learning (22%), LLMs (15%), SQL (14%), PyTorch (13%), Stakeholder management (13%), Excel (12%) — counted across their open postings here.
Software Engineer jobs in the United States · Remote Software Engineer jobs · LLMs jobs
Reddit has 153 open roles listed here.
- Lead Forward Deployed Engineer (AI Enablement)
- Senior Ads Business Development & Partnership Manager
- Senior Client Account Manager, Large Customer Sales (Financial Services)
- Senior Client Partner, Mid Market Sales (Goods)
- Senior Forward Deployed Engineer (AI Enablement)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for optimization roles keep coming back to Python, Machine learning, LLMs, SQL. Practise those questions before you sit with Reddit.
Questions you are likely to be asked
- Why do you want to join Reddit?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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Practise the Software Engineer, Agent Optimization & Evaluation at Reddit interview free →We are Software Engineers across multiple levels!
The Team
We're building Reddit's next-generation AI developer platform: a best-in-class agent stack that helps every Snoo build, test, review, and ship software efficiently while preserving Reddit's control over quality, costs, and long-term AI strategy. Our optimization harness measures and improves agents across the software development lifecycle by benchmarking models, detecting regressions, optimizing routing, incorporating production feedback, and improving developer productivity.
You'll report to Kyle Maxwell and partner with Platform Engineering, Infrastructure, and Developer Productivity to shape AI-assisted software development across Reddit.
The Role
As a Software Engineer, Agent Optimization & Evaluation, you will lead our agent optimization and evaluation platform. You'll build systems to measure and improve agents' impact on engineering velocity, including Reddit-specific evaluation environments, intelligent model orchestration, and feedback loops that learn from production usage. This hands-on role involves writing production code and building new systems with ownership and autonomy. Strong platform and infrastructure partners will support your work on agent optimization, evaluation, and orchestration.
What You’ll Do:
- Design and build Reddit's agent optimization harness for evaluating, benchmarking, and improving AI agents across real software engineering workflows.
- Develop Reddit-specific evaluation environments that accurately measure agent performance against meaningful engineering tasks.
- Build systems for offline replay, automated evaluation, synthetic task generation, regression detection, and human-in-the-loop feedback.
- Design model routing and orchestration strategies that optimize for quality, latency, and cost.
- Define metrics and experimentation frameworks that measure developer productivity and engineering velocity.
- Build tooling to analyze agent behavior, investigate failures, and accelerate iteration.
- Partner closely with Platform Engineering, Infrastructure, and Developer Productivity teams to integrate agent capabilities into engineering workflows.
- Help shape Reddit's long-term strategy for a flexible, model-agnostic agent platform that gives us control over our AI capabilities and economics
You Will Bring:
- 5-12+ years of engineering experience
- Extensive experience building and shipping large-scale production software systems.
- Experience designing evaluation, experimentation, benchmarking, or measurement systems for AI, search, developer platforms, or other complex distributed systems.
- Strong understanding of modern LLMs, AI agents, and the engineering systems required to deploy them effectively.
- Experience building systems that optimize across multiple dimensions, including quality, latency, reliability, and cost.
- Excellent software engineering fundamentals and a passion for building production-quality systems.
- Ability to operate independently in ambiguous environments and drive technical direction for highly strategic initiatives.
- Strong cross-functional collaboration skills and experience working across engineering, infrastructure, and platform organizations.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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Listed on greenhouse · posted 2026-10-18. ApplySarthi collects openings and links to application pages; the role is advertised by Reddit, not by us.