{"id":1751814,"url":"https://alion.io/job/45drives-ai-engineer-agentic-workflows-3","title":"AI Engineer (Agentic Workflows)","company":{"id":686641,"name":"45Drives","domain":"45drives.com","url":"https://alion.io/company/45drives","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"A","score":89,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Function Calling","optional":true},{"name":"Hybrid Search","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Reranking","optional":true}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-28T02:23:21Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"Position Title:AI Engineer (Agentic Workflows)\nDepartment:Research & Development\nCompany:Protocase Inc.\nLocation:Wilmington, NC, USA\nWork Arrangement:In-Office\nEmployment Type:Full-Time\nShift: Dayshift\nLevel:Mid-Senior (Expected Experience: 3+ Years)\nFull Transparency: We Work a Little Differently Around Here.\nThis isn't just another job where you punch in and punch out. We come to work every day because we strive to earn a living in a meaningful way. Too many people exist without finding joy or purpose in their work, and we believe that's just wrong. After all, we spend at least a third of our lives working-so why not create workplaces where people want to come to work in the morning and feel good when they leave at the end of the day?\nAt Protocase, your ideas don't just matter-they shape our future. We thrive on collaboration and innovation, where every voice is heard, valued, and makes a real impact. Does this sound like something you'd want to be a part of and help grow?\nProtocase specializes in custom sheet metal enclosures, panels, and parts for engineers and innovators worldwide, built with unmatched speed and quality. We take the impossible and make it possible for some of the brightest minds on the planet.\nLearn more about us: https://workdifferently.info/\nAbout the Role\nAs an AI Engineer (Agentic Workflows)at Protocase, you will design and build applications, automations, and agentic systems on top of existing large language models (LLMs) and foundation models.\nThis role owns the layer between a model's raw capability and a working business solution: orchestration, retrieval, tool integration, prompt and context design, and evaluation. You'll think in terms of workflows and outcomes-identifying where an agentic or AI-assisted process can replace or augment manual work-and move from abstract problem statements to concrete, working pipelines.\nThis role does not require deep expertise in training or fine-tuning models from scratch. It requires strong software engineering fundamentals, systems thinking, and fluency in the current landscape of LLM APIs, agent frameworks, and retrieval tooling.\nWhat You'll Do\nDesign and build agentic workflows that plan, call tools, and chain multi-step actions to complete tasks with minimal human intervention.\nIntegrate large language models into products and internal tools via APIs and open-source inference/serving frameworks.\nArchitect retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking strategy, embedding selection, and vector database integration.\nDesign and iterate on prompts, system instructions, and context-management strategies to reliably steer model behavior.\nSelect and integrate appropriate orchestration tooling to coordinate multi-agent or multi-step workflows.\nBuild evaluation harnesses and test suites to measure agent and workflow accuracy, reliability, and regression over time.\nTranslate ambiguous, high-level business problems into scoped technical specifications and working prototypes.\nCollaborate with product, operations, and subject-matter stakeholders to identify high-value automation and agentic opportunities.\nMonitor deployed AI workflows in production, using observability tooling to track latency, cost, and output quality.\nStay current with the fast-moving AI agent and tooling ecosystem and recommend adoption of new frameworks, models, or techniques where warranted.\nWhat You Need (Required Qualifications)\nEverything listed in this section is considered required to perform this role successfully.\nEducation\nBachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.\nExperience\n3+ years of professional software development experience.\nDemonstrated experience building applications on top of LLM APIs, including API providers or self-hosted inference.\nPractical experience with at least one agent orchestration framework or workflow automation platform.\nTechnical Skills\nSolid understanding of RAG architecture: embeddings, vector search, chunking, and retrieval strategy.\nStrong general-purpose programming ability in Python and/or a modern backend language.\nAbility to reason abstractly about a business problem and independently design a technical approach to solve it.\nComfortable working with APIs, containers, and cloud or on-premises infrastructure.\nCertifications / Licences\nN/A\nOther Requirements\nAbility to work in-office in Wilmington, North Carolina. \nWhat Would Be Considered an Asset (Nice-to-Have Qualifications)\nThe following qualifications are not required, but would be considered an asset.\nExperience with vector databases and hybrid search/reranking techniques.\nFamiliarity with LLM inference/serving frameworks and gateway/proxy layers for model routing.\nExperience building or maintaining evaluation and observability pipelines for AI systems.\nExposure to multi-agent system design patterns, including planner/executor, supervisor/worker, and tool-calling loops.\nPrior experience scoping and delivering AI features or automations in a production environment.\nBasic familiarity with model fine-tuning concepts, even without hands-on training experience.\nWhat Success Looks Like\nWithin your first year, you will:\nShip agentic workflows and AI-assisted tools reliably, with clear evaluation criteria and measurable impact on the processes they replace or augment.\nIndependently take loosely defined problems from stakeholders and return working, well-scoped solutions.\nBuild systems that degrade gracefully, are observable in production, and are maintainable by the wider engineering team.\nWhy Us?\nAt Protocase, we believe in recognizing and rewarding hard work and dedication.\nOur starting annual total compensation package-including base salary and performance incentives-ranges from $115,000-$160,000 USD, depending on experience.\nIn addition, you can look forward to:\nTraining & Growth:Technical training, leadership development, and opportunities to grow with our Wilmington operation.\nComprehensive Health Care:Medical, Dental, Life Insurance, and Group Insurance following the applicable eligibility period.\nVacation:Start with two weeks of paid vacation, increasing to three weeks after three years and four weeks after five years.\nWellness Support:Participate in wellness initiatives and available wellness benefits.\nSocial Events:Join a growing team that values collaboration and celebrates success.\nWilmington Lifestyle:Enjoy coastal living, beaches, a vibrant downtown, and a growing innovation community.","description_format":"text","description_chars":6531,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[{"name":"United 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