{"id":4001430,"url":"https://alion.io/job/proclinical-ai-automation-application-engineer","title":"AI Automation / Application Engineer","company":{"id":2116512,"name":"Proclinical","domain":"proclinical.com","url":"https://alion.io/company/proclinical","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Welwyn, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Shiny","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"LangChain","optional":true},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-11-09T16:58:34Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T03:42:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Excited by the opportunity to design and deploy AI applications that drive smarter decision-making?\nProclinical is seeking an AI Automation - Application Engineer to join a dynamic team focused on building innovative AI solutions that streamline business operations. In this role, you will work closely with cross-functional teams to design, develop, and maintain tools that automate processes, enhance decision-making, and improve efficiency. This position offers the opportunity to create impactful solutions while collaborating with experts in data science, IT, and compliance.\nResponsibilities:\nDevelop and maintain AI skills and agents to automate repetitive tasks such as report generation, document checks, and workflows.\nCreate interactive dashboards using R Shiny or Shiny for Python, incorporating AI assistants to provide insights and flag issues.\nAutomate manual processes across business tools, documents, and spreadsheets.\nBuild supervised automations where outputs are reviewed and approved by users before implementation.\nDesign and implement data pipelines and integrations to ensure reliable insights from business systems.\nWrite tested, version-controlled code and produce clear documentation for tools and processes.\nCollaborate with senior engineers and compliance teams to validate tools for regulated use cases.\nConduct user testing, provide training, gather feedback, and iterate on solutions to improve adoption and usability.\nMaintain and troubleshoot live tools, ensuring functionality as source systems evolve.\nKey Skills and Requirements:\nProficiency in Python for scripting, automation, and data processing (e.g., pandas, requests).\nExperience with R and Shiny for developing and deploying applications.\nStrong SQL skills and familiarity with integrating systems via REST APIs.\nPractical experience with generative AI tools, including LLM APIs and prompt design.\nFamiliarity with Git and version control, and ability to work iteratively with non-technical users.\nExperience with cloud data warehouses like Snowflake.\nKnowledge of building AI agents, agent skills, or connectors to business systems.\nFamiliarity with agent frameworks such as LangGraph.\nProficiency in business intelligence and data preparation tools.\nExperience deploying applications and scheduled jobs using containers (e.g., Docker) in a cloud environment like AWS.\nBackground in pharmaceutical R&D or other regulated environments (e.g., GxP).\nA portfolio or GitHub profile showcasing relevant work is a plus.\nIf you are having difficulty in applying or if you have any questions, please contact Dean Fisher at .\nIf you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.\nProclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. 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