[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-best-software-engineering-jobs":3},{"Slug":4,"job_category":5,"Meta":6,"Header":25,"Intro":38,"Filters":39,"OpenRoles":98,"SEOEntities":288,"WhyRexZone":333,"HowItWorks":341,"SalaryAndBenefits":355,"InterviewPrep":364,"ContentSections":372,"Ques":394,"CTA":412,"InternalLinks":422,"FooterNote":435},"best software engineering jobs","Software Engineering",{"title":7,"description":8,"primary_keyword":4,"secondary_keywords":9},"best software engineering jobs | 2026 Remote jobs","Discover the best software engineering jobs on Rex.zone — remote, full-time, and contract roles in AI\u002FML, backend, and LLM training pipelines.",[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24],"remote software engineer jobs","full-time software engineering roles","freelance developer jobs","contract software engineer","entry-level software engineering","senior software engineer","NLP engineer jobs","computer vision engineer","content safety engineering","LLM training pipelines","RLHF engineering","MLOps and DevOps","backend engineer","frontend React developer","SRE and platform engineering",{"title":26,"desc":27,"content":28},"Best Software Engineering Jobs at Rex.zone","Explore curated, high-signal opportunities spanning backend, frontend, platform, AI\u002FML, and LLM infrastructure. Find remote, contract, freelance, or full-time positions with AI labs, tech startups, BPOs, and enterprise teams. Apply once, match fast.",[29,32,35],{"h2":30,"desc":31},"About This Page","This page highlights the best software engineering jobs across multiple domains, geographies, and seniority levels. Roles include backend services, frontend UX, platform reliability, MLOps, LLM tooling, NLP, computer vision, content safety, and evaluation engineering. Each listing includes key requirements, workflows, and tech stacks to help you assess fit quickly.",{"h2":33,"desc":34},"Why Engineers Choose Rex.zone","Rex.zone standardizes profiles, surfaces signal-rich openings, and accelerates matching with AI labs, fast-growth startups, and vetted vendors. Gain visibility for remote roles, secure fair compensation, and navigate offers with transparent timelines.",{"h2":36,"desc":37},"Hiring Formats We Support","Remote, hybrid, and onsite. Full-time, contract, and freelance engagements. Entry-level, mid-level, senior, staff, and principal tracks across product, platform, and research-engineering teams.","If you’re searching for the best software engineering jobs, you’re in the right place. On Rex.zone, we curate high-signal roles that span backend systems, frontend applications, DevOps\u002FSRE, and cutting-edge AI, including LLM training pipelines, RLHF tooling, and evaluation platforms. This page defines the job entity clearly, connects it to modern ML and product workflows, and helps you navigate remote, contract, freelance, and full-time options. Whether you prefer NLP, computer vision, content safety, or scalable cloud services, Rex.zone organizes opportunities by domain, level, and employment type so you can apply once and get matched to top teams fast.",{"employment_types":40,"levels":45,"domains":51,"employer_types":62,"locations":69,"work_modes":76,"tags":78},[41,42,43,44],"full-time","contract","freelance","internship",[46,47,48,49,50],"entry-level","mid-level","senior","staff","principal",[52,53,54,55,56,57,58,59,60,61],"backend","frontend","DevOps","SRE","MLOps","NLP","computer vision","content safety","LLM training","data platforms",[63,64,65,66,67,68],"AI labs","tech startups","BPOs","annotation vendors","enterprise","consultancies",[70,71,72,73,74,75],"remote","hybrid","onsite","Americas","EMEA","APAC",[77,71,72],"remote-first",[79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97],"microservices","distributed systems","Kubernetes","AWS","GCP","Azure","Python","Go","TypeScript","React","PostgreSQL","Kafka","CUDA","PyTorch","TensorFlow","model evaluation","prompt engineering","RLHF","content moderation tooling",[99,120,145,169,192,217,242,263],{"title":100,"entity_keywords":101,"summary":104,"employer_type":63,"domain":52,"level":48,"employment_type":41,"work_mode":70,"location":105,"tech_stack":106,"responsibilities":108,"requirements":113,"compensation":118,"apply_url":119},"Backend Engineer — LLM Platform Services",[102,22,103,79,94],"software engineer","LLM platform","Own core APIs and microservices that power LLM training pipelines and evaluation dashboards. You will design resilient services for data ingestion, feature stores, and secure model rollout using robust observability and CI\u002FCD.","Global (Americas\u002FEMEA preferred)",[86,85,89,90,107,81,82],"Redis",[109,110,111,112],"Design and scale microservices for training data pipelines and evaluation endpoints.","Implement APIs for prompt evaluation and model performance improvement workflows.","Integrate metrics for latency, cost, and reliability across model versions.","Harden security and compliance for data handling and audit logging.",[114,115,116,117],"5+ years in backend development with production microservices.","Strong database and message queue fundamentals.","Experience with cloud-native deployments and observability.","Bonus: prior work with LLM training pipelines or RLHF tooling.","USD 160k–210k + equity","https:\u002F\u002Frex.zone\u002Fapply\u002Fllm-backend-platform",{"title":121,"entity_keywords":122,"summary":126,"employer_type":66,"domain":53,"level":47,"employment_type":42,"work_mode":70,"location":127,"tech_stack":128,"responsibilities":133,"requirements":138,"compensation":143,"apply_url":144},"Frontend Engineer — Evaluation & Labeling Tools",[102,123,88,124,125],"frontend developer","evaluation tools","data labeling","Build responsive UIs for annotation guidelines, named entity recognition, content safety labeling, and RLHF rater workflows. Ship performant components that enable fast, accurate judgment at scale.","EMEA\u002FAPAC",[87,88,129,130,131,132],"Next.js","Tailwind","WebSockets","Playwright",[134,135,136,137],"Build UI modules for prompt evaluation, quality checks, and consensus review.","Optimize for low-latency interactions and accessible design.","Instrument event tracking for training data quality analytics.","Collaborate with backend to define scalable APIs.",[139,140,141,142],"3+ years with modern React\u002FTypeScript.","Proficiency in state management and component performance.","Experience with testing frameworks and CI pipelines.","Nice to have: familiarity with annotation guidelines compliance.","USD 60–100\u002Fhr","https:\u002F\u002Frex.zone\u002Fapply\u002Ffrontend-eval-tools",{"title":146,"entity_keywords":147,"summary":148,"employer_type":64,"domain":56,"level":48,"employment_type":41,"work_mode":71,"location":149,"tech_stack":150,"responsibilities":157,"requirements":162,"compensation":167,"apply_url":168},"MLOps Engineer — Model Training & Deployment",[102,56,54,60,55],"Productionize training jobs, manage feature pipelines, and standardize model release processes. Ensure reproducibility, cost controls, and autoscaling for GPU clusters across multiple environments.","San Francisco, CA or Remote US",[85,151,152,153,154,155,81,156],"Bash","Airflow","Kubeflow","Ray","Docker","AWS\u002FGCP",[158,159,160,161],"Build data\u002Fversioning workflows for training data quality and lineage.","Create CI\u002FCD for models, including evaluation gates and rollback strategies.","Optimize GPU utilization and schedule distributed training jobs.","Implement monitoring for drift, performance, and cost.",[163,164,165,166],"Experience operating ML pipelines at scale.","Kubernetes fluency and infrastructure-as-code know-how.","Observability skills across metrics, tracing, and logs.","Bonus: experience with RLHF and large language model evaluation.","USD 170k–230k + equity","https:\u002F\u002Frex.zone\u002Fapply\u002Fmlops-engineer",{"title":170,"entity_keywords":171,"summary":175,"employer_type":67,"domain":176,"level":48,"employment_type":41,"work_mode":77,"location":73,"tech_stack":177,"responsibilities":180,"requirements":185,"compensation":190,"apply_url":191},"Full-Stack Engineer — Content Safety Systems",[102,172,59,173,174],"full-stack engineer","trust and safety","policy tooling","Deliver end-to-end features that protect users and brands. Blend backend policy engines with frontends for review queues, red teaming, and incident response across text, image, and video content.","full-stack",[178,87,88,89,179,81,83],"Node.js","Elastic",[181,182,183,184],"Implement policy rule engines and enforcement APIs.","Build review tooling with batch triage and appeal workflows.","Integrate classifier models and human-in-the-loop QA evaluation.","Report metrics for coverage, precision\u002Frecall, and moderator workload.",[186,187,188,189],"4+ years full-stack experience with modern frameworks.","Strong data modeling and API design skills.","Security and privacy best practices.","Familiarity with content safety labeling and policy iteration.","USD 150k–200k + bonus","https:\u002F\u002Frex.zone\u002Fapply\u002Ffullstack-content-safety",{"title":193,"entity_keywords":194,"summary":198,"employer_type":64,"domain":58,"level":48,"employment_type":41,"work_mode":72,"location":199,"tech_stack":200,"responsibilities":205,"requirements":210,"compensation":215,"apply_url":216},"Computer Vision Engineer — Real-Time Perception",[102,58,195,196,197],"deep learning","real-time inference","edge deployment","Design and optimize perception models and streaming pipelines for low-latency inference. Collaborate with firmware and platform teams to ship reliable, on-device vision systems.","Berlin, Germany",[201,85,91,202,203,204,90],"C++","TensorRT","OpenCV","gRPC",[206,207,208,209],"Build data curation and augmentation pipelines for video streams.","Optimize models for throughput, power, and memory constraints.","Implement evaluation harnesses and A\u002FB tests for robustness.","Coordinate with platform engineering on release and telemetry.",[211,212,213,214],"Expertise in C++ and Python for production.","Experience with GPU inference optimization.","Solid understanding of distributed streaming.","Nice to have: safety-critical or automotive standards.","EUR 90k–120k + benefits","https:\u002F\u002Frex.zone\u002Fapply\u002Fcv-realtime",{"title":218,"entity_keywords":219,"summary":222,"employer_type":67,"domain":55,"level":49,"employment_type":41,"work_mode":70,"location":223,"tech_stack":224,"responsibilities":230,"requirements":235,"compensation":240,"apply_url":241},"Platform\u002FSRE Engineer — Reliability at Scale",[102,55,220,221,81],"platform engineering","observability","Own reliability, scalability, and developer experience across multi-region clusters. Build golden paths, auto-remediation, and defense-in-depth for mission-critical services.","US\u002FCanada",[225,81,226,227,228,229,82],"Terraform","Istio","Prometheus","Grafana","Pulumi",[231,232,233,234],"Define SLOs and error budgets; run capacity and chaos tests.","Implement progressive delivery and automated rollbacks.","Evolve platform APIs and developer self-service.","Collaborate on incident response and postmortems.",[236,237,238,239],"7+ years in large-scale infra or SRE roles.","Cloud networking, security, and multi-tenant controls.","Proficiency in IaC and service mesh patterns.","Strong communication for cross-functional work.","USD 190k–260k + equity","https:\u002F\u002Frex.zone\u002Fapply\u002Fsre-platform",{"title":243,"entity_keywords":244,"summary":247,"employer_type":65,"domain":52,"level":46,"employment_type":41,"work_mode":71,"location":248,"tech_stack":249,"responsibilities":251,"requirements":256,"compensation":261,"apply_url":262},"Entry-Level Software Engineer — Backend Pathway",[245,52,79,246,85],"entry-level software engineer","cloud","Kickstart your career contributing to APIs, testing, and performance improvements on real production services. Mentored rotations across backend, data, and reliability.","Manila, Philippines",[85,250,89,155,83],"Django\u002FFastAPI",[252,253,254,255],"Ship features under guidance with clean, tested code.","Write unit\u002Fintegration tests and improve CI stability.","Document APIs and contribute to developer tooling.","Participate in on-call shadowing and retros.",[257,258,259,260],"Fluency in a typed or scripting language.","Understanding of HTTP, REST, and databases.","Growth mindset and collaborative communication.","Internship or project experience preferred.","Competitive local salary + training stipend","https:\u002F\u002Frex.zone\u002Fapply\u002Fentry-backend",{"title":264,"entity_keywords":265,"summary":269,"employer_type":68,"domain":60,"level":48,"employment_type":43,"work_mode":70,"location":270,"tech_stack":271,"responsibilities":276,"requirements":281,"compensation":286,"apply_url":287},"Freelance Prompt & Evaluation Engineer",[102,95,266,267,268],"evaluation","LLM","QA","Prototype prompts, build automated evaluators, and analyze failure modes to improve model quality. Ideal for engineers seeking flexible, impactful work across teams.","Global",[85,272,273,274,275],"LangChain","OpenAI\u002FAnthropic APIs","Weights & Biases","Pandas",[277,278,279,280],"Design prompt suites and adversarial tests.","Automate large language model evaluation and reporting.","Partner with data labeling teams on annotation guidelines.","Track model performance improvement over releases.",[282,283,284,285],"Strong Python and data analysis skills.","Experience with LLM APIs and evaluation frameworks.","Comfort with rapid iteration and ambiguity.","Portfolio of experiments or open-source contributions.","USD 80–150\u002Fhr","https:\u002F\u002Frex.zone\u002Fapply\u002Fprompt-eval-freelance",{"job_entity":289,"related_entities":290,"workflows":301,"ngrams":308,"synonyms":328},"Software Engineer",[291,292,293,294,295,296,297,298,299,300],"Backend Engineer","Frontend Developer","Full-Stack Engineer","DevOps Engineer","Site Reliability Engineer","MLOps Engineer","NLP Engineer","Computer Vision Engineer","Content Safety Engineer","Prompt\u002FEvaluation Engineer",[19,302,303,304,305,306,307],"RLHF (Reinforcement Learning from Human Feedback)","data labeling and QA evaluation","model performance improvement","large language model evaluation","continuous integration and delivery","observability and incident response",{"unigrams":309,"bigrams":315,"trigrams":323},[79,310,311,221,312,266,313,314],"scalability","latency","annotation","security","reliability",[316,317,318,319,320,59,321,322],"training data","prompt evaluation","model deployment","feature store","error budgets","system design","cloud infrastructure",[324,325,304,305,326,327],"training data quality","annotation guidelines compliance","continuous delivery pipelines","production incident response",[329,330,331,332],"software developer","software programmer","application engineer","platform engineer",{"title":334,"bullets":335},"Why Find the Best Software Engineering Jobs on Rex.zone",[336,337,338,339,340],"Single application, multiple curated matches across AI labs, tech startups, BPOs, and enterprise engineering teams.","Transparent salary bands, work modes (remote, hybrid, onsite), and employment types (full-time, contract, freelance).","Skill-based matching for backend, frontend, SRE, MLOps, NLP, computer vision, and content safety domains.","Fast scheduling with hiring managers and consistent feedback loops.","Resources for interview prep, compensation benchmarking, and career progression.",{"steps":342},[343,346,349,352],{"title":344,"details":345},"Create Your Rex.zone Profile","Showcase projects, metrics, and domains (backend, LLM training, NLP, computer vision). Indicate preferences for remote, contract, freelance, or full-time.",{"title":347,"details":348},"Get Matched to High-Signal Roles","Our engine uses entity understanding and n-gram relevance to match you with the best software engineering jobs that fit your skills and intent.",{"title":350,"details":351},"Interview with Context","Receive structured briefs covering workflows, codebases, and expectations, including system design, model evaluation, and reliability goals.",{"title":353,"details":354},"Decide with Confidence","Compare offers with transparent levels, benefits, and growth paths. Choose the opportunity that aligns with your career goals on Rex.zone.",{"overview":356,"benefits_examples":357},"Compensation varies by level, geography, and employer type. Roles listed on Rex.zone include transparent bands and benefits details where available.",[358,359,360,361,362,363],"Health, dental, and vision coverage","Flexible PTO and remote stipends","Learning and development budgets","401(k) or retirement plans","Home office and equipment allowances","Visa sponsorship for select roles",{"title":365,"bullets":366},"Interview Preparation for Software Engineers",[367,368,369,370,371],"Deepen fundamentals: data structures, algorithms, system design, and API modeling.","Prepare for domain scenarios: microservices reliability, CI\u002FCD, observability, or ML evaluation gates.","Practice coding in your primary stack and write production-quality tests.","Review end-to-end workflows for LLM training pipelines, RLHF integrations, and model rollout.","Clarify level expectations (entry-level vs senior) and leadership signals (mentorship, roadmap influence).",[373,376,379,382,385,388,391],{"h2":374,"desc":375},"What Defines the Best Software Engineering Jobs on Rex.zone","The best software engineering jobs blend impact, autonomy, and strong engineering culture. On Rex.zone, you’ll find roles anchored in modern product and AI\u002FML workflows: resilient microservices, quality-focused development practices, and measurable outcomes like reliability, latency, and model evaluation gains. Listings emphasize code ownership, end-to-end delivery, collaborative design, and real-world impact on users or model performance. Whether you’re building backend APIs, crafting flawless frontends, or stitching together LLM training pipelines with RLHF, each job includes clear responsibilities and growth pathways.",{"h2":377,"desc":378},"Domains and Specializations We Feature","Rex.zone curates openings across backend, frontend, full-stack, DevOps\u002FSRE, MLOps, NLP, computer vision, and content safety engineering. For AI-heavy teams, we surface roles that connect software craftsmanship with training data quality, prompt evaluation tools, and large language model evaluation harnesses. You can explore opportunities with AI labs, product-led tech startups, BPOs building engineering delivery centers, annotation vendors operating at scale, and enterprises modernizing platforms.",{"h2":380,"desc":381},"Search Modifiers Covered for Precision","To help you target the best software engineering jobs efficiently, we support search modifiers like remote, contract, freelance, full-time, entry-level, and senior. You can filter by domain (NLP, computer vision, content safety, LLM training, backend, frontend), employer type (AI labs, tech startups, BPOs, annotation vendors, enterprise), and work mode (remote, hybrid, onsite). This structure ensures your navigational and transactional intents are satisfied on Rex.zone.",{"h2":383,"desc":384},"Real-World Workflows You’ll Touch","Expect to impact production systems: design distributed services, wire CI\u002FCD with automated quality gates, implement observability, and define SLOs. In AI-centric roles, you may integrate RLHF feedback loops, partner with data labeling teams on annotation guidelines compliance, and ship evaluation pipelines that demonstrate model performance improvement. For content safety engineering, you’ll work on policy engines, classifier integrations, and reviewer tooling—all with robust audit trails and privacy controls.",{"h2":386,"desc":387},"Skills and Tools Employers Seek","Employers featured on Rex.zone look for strong coding fundamentals; expertise in languages like Python, Go, TypeScript, or C++; and fluency with cloud ecosystems (AWS, GCP, Azure). Common stacks include Kubernetes, Terraform, PostgreSQL, Kafka, Redis, and modern web frameworks (React, Next.js). AI\u002FML roles often note PyTorch, TensorFlow, Ray, vector databases, and evaluation frameworks. Beyond tools, teams prize communication, documentation, code review rigor, and a pragmatic approach to system design.",{"h2":389,"desc":390},"How to Stand Out","Show measurable impact: reduced p99 latency, improved uptime, or delivered model evaluation coverage. Link to public code, design docs, or case studies. For AI-heavy roles, demonstrate understanding of LLM training pipelines, prompt evaluation, and human feedback loops. For platform work, highlight reliability engineering, incident response leadership, and cost optimizations. In all applications, include context, trade-offs, and lessons learned.",{"h2":392,"desc":393},"Apply Once, Match Fast","Rex.zone compresses the time from discovery to offer. Your profile and preferences power matches across multiple employers without repetitive screening. With transparent process steps and clear requirements, you can move quickly through interviews and focus on the best software engineering jobs aligned with your goals.",{"title":395,"content":396},"Frequently Asked Questions",[397,400,403,406,409],{"Q":398,"A":399},"What types of employers post here?","AI labs, tech startups, BPOs expanding engineering teams, annotation vendors building evaluation platforms, and enterprises modernizing core systems.",{"Q":401,"A":402},"Do you list remote and contract roles?","Yes. You’ll find remote, hybrid, onsite options; full-time, contract, and freelance engagements; and levels from entry-level to senior\u002Fprincipal.",{"Q":404,"A":405},"How does Rex.zone improve my search?","By using entity understanding and n-gram relevance to match your skills with high-signal roles, then streamlining interviews and feedback so you can focus on the best software engineering jobs.",{"Q":407,"A":408},"Are AI\u002FML-focused jobs included?","Yes. We feature roles tied to LLM training pipelines, RLHF integrations, model evaluation, content safety engineering, and data platform work.",{"Q":410,"A":411},"How do I apply?","Create a profile on Rex.zone, specify preferences, and apply to any role on this page. You’ll be matched with similar openings automatically.",{"headline":413,"subheadline":414,"actions":415},"Apply to the Best Software Engineering Jobs","Create your Rex.zone profile once and get matched to top roles across AI labs, startups, and enterprises.",[416,419],{"label":417,"url":418},"Create Profile","https:\u002F\u002Frex.zone\u002Fjoin",{"label":420,"url":421},"Browse All Roles","https:\u002F\u002Frex.zone\u002Fjobs\u002Fsoftware-engineering",[423,426,429,432],{"title":424,"url":425},"Backend Engineering Jobs","https:\u002F\u002Frex.zone\u002Fjobs\u002Fbackend",{"title":427,"url":428},"MLOps and LLM Platform Jobs","https:\u002F\u002Frex.zone\u002Fjobs\u002Fmlops-llm",{"title":430,"url":431},"Frontend and Full-Stack Jobs","https:\u002F\u002Frex.zone\u002Fjobs\u002Ffrontend",{"title":433,"url":434},"Remote Software Engineering Jobs","https:\u002F\u002Frex.zone\u002Fjobs\u002Fremote","Rex.zone is your navigational home for discovering and applying to the best software engineering jobs. Explore remote, contract, freelance, and full-time roles across backend, frontend, platform, and AI\u002FML domains."]