{"id":3211280,"url":"https://alion.io/job/msasafety-ai-engineer-co-op-spring-2027","title":"AI Engineer Co-Op Spring 2027","company":{"id":1802379,"name":"Msasafety","domain":"msasafety.com","url":"https://alion.io/company/msasafety","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Cranberry Township, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":239000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Hugging Face","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"LoRA","optional":true},{"name":"Model Distillation","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PEFT","optional":true},{"name":"PyTorch","optional":true},{"name":"QLoRA","optional":true},{"name":"Quantization","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-23T16:50:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T16:50:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"OverviewAre you someone who is passionate, motivated, and driven to make a difference? If so, MSA Safety is the perfect fit for your career. \nAt MSA, SAFETY is who we are AND it is what we do. We are a purpose-driven company committed to deploying innovation and technology to deliver on our Mission to help protect people and assets all around the world. We continue to be relentless in our pursuit of solving our customers greatest problems so they can go home safe each and every day. \nAre you in? Read on for more details about this particular role.\nResponsibilities\n\nAbout the Role:\n\nWe’re building an AI Platform that empowers users across business functions to connect with enterprise data and accomplish everything from intelligent search to agentic workflows for task automation and artifact generation. The platform is accelerating business processes and shaping new ways we serve and innovate for our customers, with growing use cases across frontline support, NPD engineering, and business development.\nAs an AI Engineer on this team, you’ll help design, build, and scale the systems behind this work. You’ll work across the stack: orchestrating LLMs and agents, integrating with enterprise data sources, deploying in the cloud, and iterating based on how real users actually use what we build.\nWe move fast, and we’re looking for someone who thrives in that environment: adaptable, quick to learn, and an excellent communicator who can turn ambiguity into clear direction and shipped work.\n\nWhat You’ll Do:\n\nDesign and build AI-enabled applications and services powering intelligent search, agentic workflows, and artifact generation\n\nDevelop and orchestrate agentic systems, including tool use, multi-step reasoning, and evaluation loops grounded in real-world feedback\n\nDeploy, monitor, and continuously improve models and AI services on AWS\n\nPartner with stakeholders across MSA business functions to translate real needs into tools that drive productive use\n\nContribute to architectural discussions and help drive technical decisions across the team\n\nWrite clean, maintainable, well-documented code and uphold strong engineering practices (Git, code review, CI/CD, testing)\n\nQualifications\n\nRequired Education and Experience:\n\nWorking towards achieving a Bachelor's / Master’s Degree in AI Engineering, Data Science, Computer Science, Statistics, Mathematics, Engineering or related quantitative discipline\n\nExperience building AI-enabled applications, ideally involving agentic workflows, tool orchestration, and evaluation\n\nExperience with MLOps practices, including model deployment, monitoring, and evaluation in a cloud environment (AWS preferred)\n\nProficiency in Python; TypeScript is a plus\n\nWorking experience with at least one major ML framework (PyTorch or TensorFlow)\n\nSolid understanding of transformer-based models, including multimodal architectures, and familiarity with parameter-efficient fine-tuning (e.g., LoRA, QLoRA) and model optimization techniques (quantization, pruning, distillation)\n\nUnderstanding of how software works across the stack and in the cloud, including containers, serverless functions, databases, and observability/telemetry\n\nStrong software engineering fundamentals and a track record of clean, well-tested code\n\nAdaptability and a fast pace, with the curiosity to pick up new tools and frameworks as the AI landscape evolves\n\nExcellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders\n\nPreferred Education and Experience:\n\nExperience working with open-source models via Hugging Face and managed services such as AWS Bedrock and Bedrock AgentCore, as well as agent SDKs like Strands\n\nExperience working with enterprise ERP and CRM systems such as SAP and Salesforce\n\nExperience in an agile development environment\n\nExperience with Vision Transformers and/or CNNs\n\nFamiliarity with SQL, ETL, and working with large datasets","description_format":"text","description_chars":3960,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-24T17:10:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":5,"expected_fill_days":28,"reasons":["seen:5","win:early"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/msasafety-ai-engineer-co-op-spring-2027","json_url":"https://alion.io/job/msasafety-ai-engineer-co-op-spring-2027.json","meta":{"generated_at":"2026-10-29T18:40:06Z","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":27681,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":1802379},"rest":"https://alion.io/mcp/rest/get_company?id=1802379"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmsasafety-ai-engineer-co-op-spring-2027"},{"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%2Fmsasafety-ai-engineer-co-op-spring-2027"},{"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%2Fmsasafety-ai-engineer-co-op-spring-2027"},{"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/msasafety-ai-engineer-co-op-spring-2027\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmsasafety-ai-engineer-co-op-spring-2027"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3211280}},{"tool":"search_jobs","arguments":{"company":"msasafety.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3211280},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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