{"id":31725,"url":"https://alion.io/job/blend360-ai-and-data-engineer","title":"AI and Data Engineer","company":{"id":4305,"name":"Blend360","domain":"blend360.com","url":"https://alion.io/company/blend360","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":49,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Edmonton, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":105000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"dbt","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Prefect","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"NLP","optional":true},{"name":"Snowflake","optional":true},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-06-09T19:46:57Z","employer_posted_date":"2026-06-09","last_verified_at":"2026-10-16T23:17:38Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":128},"description":"Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com\n We are building a team of engineers in Edmonton, AB, Canada to develop a first-of-its-kind synthetic persona platform - an AI system that models human behavior, preferences, and decision-making at scale. This role sits at the intersection of software engineering, data engineering and applied AI: you will design the pipelines that power the personas and , the models and the platform deployments that bring them to life.\nThis is not a maintenance role. The platform is being built from the ground up, and every technical decision you make will shape what it becomes. You will work alongside researchers, data scientists, and product engineers in a small, high-trust team where curiosity and ownership are the norm.\nWhat You Will Do\nDesign and build a scalable platform and the data pipelines that ingest, transform, and serve structured and unstructured data to AI models\nDevelop and iterate on AI/ML components - including LLM-based agents, embedding models, and behavioral simulation layers - that power synthetic persona generation\nArchitect and maintain the data infrastructure underpinning persona modeling: feature stores, vector databases, data lakes, and real-time serving layers\nCollaborate with researchers to translate persona logic and behavioral frameworks into working system components\nWrite production-quality code, participate in code reviews, and contribute to engineering standards for the team\nMonitor model and pipeline performance in production; identify and resolve issues proactively\nContribute to system design discussions and help shape the technical roadmap\n Must be able to commute to our Edmonton, AB, Canada office\nCore Technical Skills\n3-5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role\nProficiency in Python and at least one data processing framework (Spark, dbt, Airflow, Prefect, or similar)\nExperience building and deploying ML models or AI components in a production environment\nFamiliarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent)\nSolid understanding of data modeling, schema design, and the tradeoffs between different storage paradigms (relational, document, vector, columnar)\nExperience with cloud data infrastructure - AWS, GCP, or Azure - and comfort operating in a cloud-native environment\nSystems & Engineering Mindset\nAbility to reason about system architecture: latency, throughput, scalability, and data consistency tradeoffs\nExperience with APIs, microservices, or event-driven architectures (Kafka, Pub/Sub, or similar)\nComfort working across the stack - from raw data ingestion through to model serving and API exposure\nStrong debugging instincts and a habit of writing observable, testable code\nHow You Work\nIntrinsically motivated - you pursue hard problems because they interest you, not because someone handed you a ticket\nComfortable with ambiguity; you can move forward when the requirements are still forming\nCollaborative by default - you ask questions, share context early, and bring others along\nYou read papers, experiment on weekends, and have opinions about how AI systems should be built\nNice to Have\nExperience with Snowflake\nExperience with behavioral modeling, simulation, or agent-based systems\nBackground in NLP, computational social science, or user modeling\nContributions to open-source AI or data tooling\nFamiliarity with synthetic data generation techniques or privacy-preserving ML\nExperience working in a startup or early-stage product environment\n Synthetic personas are one of the most technically interesting and practically consequential challenges in applied AI right now. The platform you help build will be used to simulate human decision-making in ways that have real product and business impact. You will have direct influence over architectural decisions, meaningful ownership of your components, and a front-row seat to a research area that is evolving fast.\n*Must be able to work on-site at our Edmonton, AB, Canada location","description_format":"text","description_chars":4753,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-06-09T19:46:57Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.113,"p_room":0.28,"age_days":128,"expected_fill_days":15,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/blend360-ai-and-data-engineer","json_url":"https://alion.io/job/blend360-ai-and-data-engineer.json","meta":{"generated_at":"2026-10-17T01:04:16Z","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":1504,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":4305},"rest":"https://alion.io/mcp/rest/get_company?id=4305"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblend360-ai-and-data-engineer"},{"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%2Fblend360-ai-and-data-engineer"},{"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%2Fblend360-ai-and-data-engineer"},{"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/blend360-ai-and-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblend360-ai-and-data-engineer"}]}