{"id":4061891,"url":"https://alion.io/job/weekday-agentic-full-stack-engineer","title":"Agentic Full-Stack Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":105,"ghost_share":0,"stale_share":0.981,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Albuquerque, United States","San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":2000000,"max":5000000,"currency":"INR","period":"year","gross":null,"usd_annual":53325},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Rest API","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-11-11T09:04:19Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T09:04:19Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is for one of Weekday’s clients\nSalary range: Rs 2000000 - Rs 5000000 (ie INR 20 - 50 LPA)\nMin Experience: 2+ years\nLocation: Remote (India), India\nJobType: full-time\nWe are looking for an Agentic Full-Stack Engineer who combines strong software engineering fundamentals with hands-on experience using AI coding agents to accelerate development. You will build and ship features for an AI-native cybersecurity platform, using tools such as Claude and ChatGPT as force multipliers while applying sound engineering judgment to review, refine, and validate AI-generated outputs.\nYou will own features end-to-end within an established architecture, from scoping and implementation through testing, code review, deployment, and monitoring. You will also contribute to agentic workflows and automation pipelines that improve engineering productivity and help translate vulnerability intelligence into actionable platform capabilities.\nRequirements\nKey Responsibilities\nFull-Stack Feature Development\nDesign, develop, test, and deploy full-stack features for a cloud-native cybersecurity SaaS platform.\nUse AI coding agents to draft specifications, generate boilerplate, and accelerate implementation.\nCritically review AI-generated code and specifications for correctness, security vulnerabilities, hallucinations, and alignment with existing architectural patterns.\nTake ownership of assigned features throughout the development lifecycle, including testing, code reviews, deployment, and monitoring.\nContribute to API design and data modelling within an established microservices architecture.\nAgentic AI & Automation Engineering\nUse and extend existing agentic workflows and engineering automation pipelines.\nBuild reusable automations for recurring engineering tasks and contribute to AI-powered development processes.\nFollow human-in-the-loop review practices to ensure all AI-generated changes are evaluated before reaching production.\nExplore opportunities to move beyond using GenAI tools towards designing agent workflows and reusable AI capabilities.\nCloud Platform & Infrastructure\nBuild and maintain cloud-native SaaS services on AWS or other public cloud platforms.\nWork with containerized applications, RESTful APIs, and serverless or event-driven architectures.\nSupport services responsible for real-time threat intelligence ingestion and delivery.\nApply secure-by-design principles throughout development.\nSecurity & Cross-Functional Collaboration\nCollaborate with security researchers to translate vulnerability intelligence into practical platform features.\nDevelop an understanding of exposure management, security tooling, vulnerability data, and threat intelligence.\nWork with teams across the US and India, including attending 1-2 evening meetings per week to coordinate with India-based teams.\nIntegrate GenAI tools into everyday work while following data classification and responsible AI usage guidelines.\nMust-Have Skills & Qualifications\n2+ years of experience building production-grade software, preferably within SaaS environments.\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.\nWorking experience with at least one public cloud platform: AWS, GCP, or Azure. AWS experience is preferred.\nPractical familiarity with containerization, RESTful API design, and at least one of serverless or event-driven architecture.\nAbility to independently own features from scoping and implementation through testing, review, and deployment.\nStrong written communication skills and the ability to collaborate across time zones.\nHands-on, daily experience using AI coding agents is mandatory.\nAbility to evaluate AI-generated code and specifications for hallucinations, security flaws, and deviations from established architectural patterns.\nPractical experience using GenAI tools such as Claude or ChatGPT for coding, research, drafting, summarization, data analysis, or workflow automation.\nUnderstanding of GenAI limitations, including hallucination risks, context-window constraints, and data sensitivity boundaries.\nFamiliarity with prompt engineering, multi-step instructions, context setting, and iterative refinement of AI-generated outputs.\nComfort working with agentic AI workflows and willingness to learn how to design and extend them.\nAwareness of AI security fundamentals, including prompt injection risks, data classification, sandboxed execution, and responsible handling of sensitive information.\nWillingness to adopt emerging AI tools and participate in AI adoption initiatives, hackathons, and team knowledge-sharing activities.\nGood-to-Have Skills\nExposure to security tooling, vulnerability data, or threat intelligence.\nExperience working in codebases with established testing practices and continuous integration (CI) processes.\nFamiliarity with cloud-native security platforms and microservices architectures.\nLocation & Employment Requirements\nCandidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico.\nMust be legally authorized to work in the United States without requiring current or future employer sponsorship.\nEmployment is contingent upon successfully completing a 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