{"id":2476294,"url":"https://alion.io/job/sands-sr-software-engineer-ai-first-development","title":"Sr Software Engineer - AI-First Development","company":{"id":2695382,"name":"Las Vegas Sands Corp","domain":"sands.com","url":"https://alion.io/company/sands-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Las Vegas, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":229000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":980},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Windsurf","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"Function Calling","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OWASP","optional":true},{"name":"RabbitMQ","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T01:52:02Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description:\nPosition Overview\nThe primary responsibility of the Senior Software Engineer (AI-First Development) is to design, orchestrate, and validate software applications built through AI-driven development workflows. This is not an AI-assisted traditional developer role. Rather than writing the majority of code by hand, this role operates within an AI-First Software Development Lifecycle (SDLC) where AI agents serve as the primary producers of code, configuration, and test artifacts. The engineer provides architectural direction, context engineering, human-in-the-loop governance, and final accountability for all delivered software.\nThe Senior Software Engineer combines deep software engineering fundamentals with the ability to think in systems, design effective agent workflows, and validate AI-generated outputs across security, correctness, performance, and compliance dimensions.\nAll duties are to be performed in accordance with departmental and Las Vegas Sands Corp.’s policies, practices, and procedures. All Las Vegas Sands Corp. Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the company’s standards, work requirements and rules of conduct.\nEssential Duties & Responsibilities\nAgent Workflow Design and Orchestration\nDesign, build, and maintain AI agent workflows that produce application code, infrastructure configuration, test suites, and documentation.\n\nDecompose complex application requirements into discrete, well-scoped tasks that AI agents can execute effectively within defined boundaries.\n\nSelect and configure appropriate AI models, agent frameworks, and tooling for each workflow based on task complexity, risk level, and cost considerations.\n\nConstruct and maintain context stores that provide agents with organizational knowledge, coding standards, architectural patterns, and domain context needed to produce correct and consistent outputs.\n\nAuthor and maintain the agent toolchain, including Skills (SKILL.md) for reusable domain knowledge, hooks for deterministic automation at defined workflow points, and project memory files (CLAUDE.md, AGENTS.md) that provide persistent context across agent sessions.\n\nDesign subagent architectures that decompose complex workflows into specialized, scoped agents with appropriate tool access, following the principle of least privilege for each agent role.\n\nApply compound engineering practices that systematically capture insights, patterns, and failure modes from each development cycle, encoding them into project memory, skills, and agent configurations so that each unit of work makes subsequent work easier and more reliable.\n\nParticipate in Mob Elaboration sessions to collaboratively refine requirements, acceptance criteria, and context packages before agent execution begins.\n\nVerification and Quality Assurance\nApply a multi-layer verification framework to all AI-generated outputs, validating functional correctness, security posture, performance characteristics, code quality, and regulatory compliance.\n\nEstablish and enforce human-in-the-loop (HITL), on-the-loop (OHOTL), and after-the-loop (AHOTL) governance checkpoints appropriate to the risk level of each workflow.\n\nReview, test, and approve AI-generated code, ensuring it meets Sands coding standards, architectural guidelines, and security requirements before promotion to production.\n\nDesign and maintain automated verification pipelines that supplement human review, including test harnesses, static analysis gates, and runtime telemetry.\n\nIdentify and remediate patterns of agent drift, hallucination, or quality degradation across repeated workflow executions.\n\nImplement agent observability and telemetry systems that track agent behavior, tool call patterns, token consumption, and output quality metrics across workflows.\n\nApplication Development and Architecture\nArchitect and deliver full-stack applications across web, API, and data layers using AI-First methodologies as the primary development approach.\n\nDefine system architecture, data models, API contracts, and integration patterns that serve as the foundational context for agent-driven development.\n\nCollaborate with cross-functional teams including product, design, infrastructure, and security to translate business requirements into executable agent workflows.\n\nCoordinate with development teams across global locations to ensure consistency in agent workflows, coding standards, and verification practices.\n\nMaintain the ability to write, debug, and refactor code directly when agent outputs require manual intervention or when exploring novel architectural approaches.\n\nEnsure all delivered applications meet enterprise standards for scalability, maintainability, observability, and operational readiness.\n\nDesign and build custom MCP servers that expose internal tools, databases, and business systems to AI agents through standardized interfaces, enabling agents to interact with enterprise data securely and reliably.\n\nContinuous Improvement and Mentorship\nEvaluate emerging AI models, agent frameworks, MCP servers, and development tools to continuously improve workflow effectiveness and output quality.\n\nMentor team members on AI-First development practices, context engineering techniques, and verification methodologies.\n\nContribute to the evolution of the Sands AI-First SDLC standard, proposing refinements based on practical experience and measurable outcomes.\n\nDocument agent workflow patterns, prompt libraries, context store structures, and lessons learned to build institutional knowledge.\n\nMonitor and optimize token consumption and cost across agent workflows, implementing strategies such as plan mode, context editing, multi-session splitting, and efficient context window management to control operational expenses.\n\nParticipate in Mob Construction sessions, guiding agent execution in real time and coaching team members on effective orchestration techniques.\n\nPerform job duties in a safe manner.\n\nAttend work as scheduled on a consistent and regular basis.\n\nPerform other related duties as assigned.\n\nMinimum Qualifications\nAt least 21 years of age.\n\nProof of authorization to work in the United States.\n\nBachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.\n\nMust be able to obtain and maintain any certification or license, as required by law or policy.\n\n7+ years of professional software development experience, with demonstrated progression into senior or lead roles.\n\n1+ years of hands-on experience using AI-assisted development tools (such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar) as a core part of the daily development workflow.\n\nStrong foundational knowledge across at least two major programming ecosystems (for example, .NET/C#, JavaScript/TypeScript, Python, Java, Go), with the ability to evaluate and validate AI-generated code in any language relevant to a given project.\n\nWorking knowledge of relational and non-relational databases, including data modeling, query optimization, and schema design.\n\nExperience with cloud platforms (Azure preferred, AWS or GCP also acceptable), including deployment, configuration, and cost management.\n\nWorking knowledge of DevOps practices, CI/CD pipelines, and infrastructure-as-code concepts.\n\nExperience with containerization (Docker) and container orchestration (Kubernetes or similar).\n\nDemonstrated ability to conduct thorough code reviews, identify defects in AI-generated outputs, and provide constructive technical feedback.\n\nExcellent written and verbal communication skills, with the ability to articulate technical decisions and trade-offs to both technical and non-technical stakeholders.\n\nStrong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.\n\nPreferred Qualifications\nExperience designing multi-agent and subagent architectures using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom orchestration layers. Understanding of agent planning, tool use, memory, multi-step reasoning, and scoped tool access patterns.\n\nPractical experience constructing structured context packages for LLMs, including prompt design, RAG pipelines, context window optimization, project memory files (CLAUDE.md, AGENTS.md), and integration with MCP servers. Understanding of tactical context management strategies such as plan mode, context editing, and multi-session splitting.\n\nExperience authoring Skills (SKILL.md), configuring hooks for deterministic automation, building custom MCP servers, and assembling agent toolchains that enable repeatable, production-grade workflows.\n\nExperience implementing human-in-the-loop oversight models, automated evaluation pipelines, and strategies for detecting agent drift or hallucination. Familiarity with agent telemetry, token consumption monitoring, and cost governance across multi-agent workflows.\n\nExperience with microservices, event-driven architectures, or message-based systems (Kafka, RabbitMQ, Azure Service Bus). Understanding of enterprise integration patterns at scale.\n\nKnowledge of secure development practices, OWASP guidelines, and experience working within regulated industries (gaming, finance, hospitality, or similar). Understanding data privacy and responsible AI principles.\n\nExperience with unit testing, integration testing, end-to-end testing frameworks, and automated quality gates. Experience evaluating AI-generated test coverage and identifying gaps.\n\nTrack record of mentoring developers, leading technical initiatives, and driving adoption of new development practices across teams.\n\nPhysical Requirements\nMust be able to:\nPhysically access assigned workspace areas with or without reasonable accommodation.\n\nWork remotely as necessary.\n\nWork indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, and dust.\n\nUtilize laptop and standard keyboard to perform essential functions of the job.","description_format":"text","description_chars":10153,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T21:30:06Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":29,"reasons":["conf:4","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/sands-sr-software-engineer-ai-first-development","json_url":"https://alion.io/job/sands-sr-software-engineer-ai-first-development.json","meta":{"generated_at":"2026-10-14T10:44:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12619,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2695382},"rest":"https://alion.io/mcp/rest/get_company?id=2695382"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsands-sr-software-engineer-ai-first-development"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsands-sr-software-engineer-ai-first-development"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsands-sr-software-engineer-ai-first-development"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sands-sr-software-engineer-ai-first-development\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsands-sr-software-engineer-ai-first-development"}]}