{"id":2473772,"url":"https://alion.io/job/blueprint-senior-backend-engineer-ai-data-systems","title":"Senior Backend Engineer, AI & Data Systems","company":{"id":2598,"name":"Blueprint","domain":"bpcs.com","url":"https://alion.io/company/blueprint","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0.25,"time_to_fill_p50_days":18,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redmond, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":145000,"currency":"USD","period":"year","gross":null,"usd_annual":145000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"C#","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Spring Boot","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-13T19:21:08Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T17:05:00Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Blueprint\nBlueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.\nOur culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.\nAt Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.\nBring your perspective. Raise the standard. Build what matters.\nIn This Role\nYou will design, build, and maintain scalable backend systems and data infrastructure that support AI-powered product innovation. Working alongside engineering, research, design, and product partners, you will develop synthetic data-generation workflows, reliable data pipelines, and large-scale storage and retrieval solutions that enable rapid experimentation and the evaluation of intelligent systems. You will take ownership of technical work from design and implementation through testing, deployment, and ongoing support, applying strong software engineering practices, quantitative analysis, and cloud engineering principles to improve system quality, scalability, and reliability. This role offers the opportunity to solve complex technical challenges at the intersection of backend engineering, synthetic data, and AI.\nResponsibilities\nDesign, build, and enhance synthetic data-generation systems that transform structured inputs, persona information, and organizational context into coherent, traceable, and reproducible datasets.\n\nDevelop, scale, and maintain reliable data pipelines, ETL workflows, and orchestration systems.\n\nApply concurrency, asynchronous execution, and resilient failure-handling techniques to improve pipeline performance and reliability.\n\nDesign and optimize data models, storage architectures, partitioning, indexing, and retrieval patterns to support large data volumes and efficient access.\n\nBuild data validation frameworks and automated quality checks to measure data accuracy, consistency, completeness, and fitness for use.\n\nApply quantitative analysis, data profiling, and performance measurements to investigate system behavior and improve quality, scalability, and reliability.\n\nIntegrate and support AI and large language model (LLM) workflows, considering model capabilities, limitations, output quality, and evaluation requirements.\n\nApply cloud engineering practices to deploy, monitor, operate, and support dependable backend systems while balancing scalability, cost, and operational simplicity.\n\nAssess existing codebases, evaluate technical trade-offs, and translate evolving requirements into maintainable, modular, and well-tested solutions.\n\nCollaborate with engineering, research, design, and product partners to develop practical solutions and communicate progress, technical decisions, and risks.\n\nMaintain clear technical documentation, automated tests, deployment guidance, and operational practices that support long-term system ownership.\n\nRequired Qualifications\n5+ years of software engineering, backend engineering, or data engineering experience, or equivalent significant hands-on experience building and supporting production systems.\n\nStrong backend programming and systems engineering skills, including designing maintainable services, modular components, APIs, and automated tests.\n\nExperience with programming languages and frameworks such as Python, Java with Spring Boot, or C#/.NET.\n\nDemonstrated experience designing, building, scaling, and maintaining data-generation systems, ETL workflows, distributed data-processing solutions, and cloud-based data pipelines.\n\nWorking knowledge of large language models (LLMs), including their capabilities, limitations, common failure modes, and the impact of data quality, prompting, and evaluation on AI-powered systems.\n\nUnderstanding of workflow orchestration, concurrency, asynchronous execution, streaming or event-driven architectures, and failure recovery.\n\nExperience with large-scale data storage, data modeling, and retrieval, including partitioning, indexing, access patterns, and storage architecture trade-offs.\n\nStrong analytical and troubleshooting skills, including the ability to validate data and system behavior, interpret performance measurements, and make evidence-based engineering decisions.\n\nPractical cloud engineering experience and the ability to work independently in an existing codebase.\n\nAbility to take ownership of technical solutions from design through implementation, testing, deployment, and ongoing support.\n\nStrong technical communication, collaboration, documentation, and problem-solving skills.\n\nA disciplined approach to software quality, maintainability, and operational reliability.\n\nPreferred Qualifications\nHands-on experience with Python for backend development, data processing, automation, or AI-related workflows.\n\nExperience integrating LLMs through AI platforms, frameworks, and APIs.\n\nExperience developing and evaluating production-oriented AI applications and LLM-based workflows.\n\nExperience designing LLM evaluation frameworks, defining quality criteria, and implementing automated checks to assess generated outputs.\n\nFamiliarity with distributed processing, streaming, event-driven systems, and workflow orchestration technologies such as Apache Spark, Kafka, or equivalent platforms.\n\nExperience with relational and NoSQL databases, cloud object storage, and data lake architectures.\n\nKnowledge of observability, performance optimization, deployment automation, and production system monitoring.\n\nExperience building automated tests, data-quality validation frameworks, and reproducible data workflows.\n\nAbility to navigate ambiguous requirements, explore technical alternatives, and adapt to changing priorities.\n\nExperience collaborating across engineering, research, design, and product disciplines in an iterative, experimentation-driven environment.\n\nPrior experience with Microsoft technologies or products is a plus but is not required.\n\nA portfolio or technical work samples demonstrating relevant engineering experience is a plus but is not required.\n\nSalary Range \nAt Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $135,000- $145,000 USD/Annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range.\nEqual Opportunity Employer \nBlueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. \nIf you need assistance or a reasonable accommodation to complete the application process, please reach out to:  \nBlueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: \nMedical, dental, and vision coverage \nFlexible Spending Account \n401k program \nCompetitive PTO offerings \nParental Leave \nOpportunities for professional growth and development \nLocation: Remote\nBenefits\nBlueprint believes that healthy, supported employees do their best work. Eligible employees have access to a comprehensive benefits package that may include:\nMedical, dental, and vision coverage\nFlexible Spending Account (FSA)\n401(k) retirement plan\nCompetitive paid time off\nParental leave\nProfessional growth and development opportunities\nBenefits and eligibility may vary based on role, employment status, and location.\nEqual Employment Opportunity\nBlueprint Technologies, LLC is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital or familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable law.\nApplicant Accommodations\nIf you need a reasonable accommodation to participate in any part of the application or interview process, please contact .","description_format":"text","description_chars":9143,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Parental leave","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-13T20:40:29Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["conf:1","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":145000,"is_top_pay":false},"html_url":"https://alion.io/job/blueprint-senior-backend-engineer-ai-data-systems","json_url":"https://alion.io/job/blueprint-senior-backend-engineer-ai-data-systems.json","meta":{"generated_at":"2026-10-14T19:24:00Z","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":"assistant_verified","counted_by":"address","units_charged":1,"used_today":3698,"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":2598},"rest":"https://alion.io/mcp/rest/get_company?id=2598"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblueprint-senior-backend-engineer-ai-data-systems"},{"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%2Fblueprint-senior-backend-engineer-ai-data-systems"},{"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%2Fblueprint-senior-backend-engineer-ai-data-systems"},{"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/blueprint-senior-backend-engineer-ai-data-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblueprint-senior-backend-engineer-ai-data-systems"}]}