{"id":775046,"url":"https://alion.io/job/worldscape-senior-software-engineer-full-stackbackend","title":"Senior Software Engineer - Full Stack/Backend","company":{"id":688159,"name":"Worldscape","domain":"worldscape.ai","url":"https://alion.io/company/worldscape","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":56,"open_postings":11,"ghost_share":0.727,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-02-18T03:00:46Z","employer_posted_date":"2026-02-18","last_verified_at":"2026-10-01T04:11:33Z","board_verified":true,"closed_at":null,"days_open":225,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":225},"description":"Responsibilities:\nDesign and implement backend services and APIs to power scalable, secure, and efficient agentic solutions. \nDevelop and optimize data pipelines for ingestion, transformation, and real-time processing of large datasets. \nArchitect distributed systems leveraging cloud platforms (Azure, AWS, or GCP) and containerization (Docker/Kubernetes) for high availability and fault tolerance. \nIntegrate backend logic with front-end frameworks(React, Next.js, Typescript) to deliver seamless user experiences. \nDesign and implement security best practices across authentication, authorization, and data protection layers. \nCollaborate with cross-functional teams including product management, design, and QA to align technical solutions with business goals. \nConduct code reviews and enforce standards for performance, reliability, and security. \nContinuously research and integrate emerging technologies such as LLM orchestration, multi-agent systems, and knowledge graphs. \nDocument architecture and technical decisions for transparency, scalability, and maintainability. \nInfluence platform evolution by contributing to low-code/no-code capabilities and innovative AI-driven features. \nFundamental understanding of the customer goal and end-to-end customer journey. \nProfessional Qualifications:\nBachelor’s degree in Computer Science, AI/ML, Data Engineering, or related field.\nExperience building AI-driven applications or distributed systems.\nStrong proficiency in one or more modern programming languages (e.g., C#, Java, Python, or C++).\nDemonstrated passion for solving customer problems and delivering high-quality solutions.\n4-10+ years of hands-on experience with data pipelines, cloud platforms (Azure, AWS, or GCP), and containerization (Docker/Kubernetes).\nFamiliarity with LLM frameworks, agent orchestration, and knowledge representation techniques.\nProven ability to work in agile environments, managing ambiguity and delivering impactful outcomes.\nPreferred Qualifications:\nExperience in building AI-driven applications or distributed systems.\nHands-on experience developing full-stack solutions (React, Next.js, Typescript, Node.js) \nExperience with nsjail, Firecracker and MS Orleans preferred.\nExperience with vector databases, semantic search, and prompt engineering.\nKnowledge of reinforcement learning, planning algorithms, or multi-agent coordination.\nFamiliarity with LLM frameworks, agent orchestration, and knowledge representation 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