{"id":2650333,"url":"https://alion.io/job/traxtech-ai-prompt-engineer","title":"AI Prompt Engineer","company":{"id":2242272,"name":"TraxTech","domain":"traxtech.com","url":"https://alion.io/company/traxtech","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":68,"open_postings":19,"ghost_share":0.526,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cebu City, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Power Automate","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"UiPath","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-15T21:26:43Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T13:50:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"Trax Inc. provides cloud-based solutions and services to automate and manage freight invoice auditing and payment processing for buyers and sellers of logistics services. The Trax platform enables companies to optimize supply chain performance through greater visibility into their logistics ecosystem and predictive analytics based on over one billion logistics transactions from all industries, modes, and countries. Trax operates on a global scale with offices in the U.S., Latin America, Asia and Europe.\nQUALIFICATIONS\nMinimum\nBachelor's degree in Computer Science, Information Technology, Data Science, Linguistics, or a related field.\nIn lieu of a degree, equivalent practical experience in AI/NLP-related work will be considered.\nRecommended\nCertification or formal training in Prompt Engineering, Generative AI, Machine Learning, or NLP (e.g., DeepLearning.AI, Coursera, Google/Microsoft AI certifications). \nBackground in Computational Linguistics, Cognitive Science, or Software Engineering with AI specialization. \nEXPERIENCE\nMinimum\nAt least 1-2 years of hands-on experience working with AI/LLM tools (e.g., ChatGPT, Claude, Gemini, Copilot) for prompt design, testing, or configuration.\nExperience troubleshooting or documenting technical/process errors in a structured environment.\nRecommended\n2+ years of experience specifically in prompt engineering, AI model tuning, or AI-driven data extraction projects.\nPrior exposure to Robotic Process Automation (RPA) tools and AI-triggered workflow support (e.g., UiPath, Automation Anywhere, Power Automate).\nExperience working in a BPO, shared services, or enterprise operations environment supporting AI/automation initiatives.\nSKILLS\nMust Have\nStrong understanding of LLM behavior, prompt structure, and prompt debugging/optimization techniques.\nAbility to identify, analyze, and correct prompt configuration errors against current AI model standards.\nWorking knowledge of structured and unstructured data extraction concepts.\nStrong analytical, documentation, and reporting skills (able to produce logs, summaries, and performance reports).\nGood written and verbal communication skills; able to collaborate with cross-functional and technical teams.\nNice to Have\nFamiliarity with an Optimizer tool or similar AI model configuration/pattern-tuning environment.\nBasic scripting/technical literacy (e.g., Python, JSON, Regex, API concepts).\nExposure to RPA script maintenance and troubleshooting.\nKnowledge of AI/model performance metrics (accuracy rate, precision, consistency benchmarks).\nTASK SCOPE\nPrompt Configuration and Backlog Review\nIdentify, analyze, and correct prompt configuration errors from existing and backlog records.\nEnsure prompt logic and syntax conform to the latest AI model standards.\nDocument corrections, resolutions, and performance outcomes.\nSupport AI Extraction Onboarding\nCollaborate with internal teams to enable full AI extraction capabilities across designated systems.\nDesign and configure prompts for automated extraction and interpretation of unstructured data.\nConduct validation testing and provide tuning recommendations.\nPattern Configuration and Optimization\nDevelop and configure pattern logic using the Optimizer tool (or equivalent AI model configuration environment).\nTest, refine, and validate optimized prompt patterns for accuracy, consistency, and system performance.\nProvide periodic reports summarizing configuration outcomes, accuracy rates, and model improvements.\nRPA Maintenance Support\nProvide technical support for RPA scripts or workflows impacted by AI integration.\nCollaborate with automation engineers to maintain and troubleshoot RPAs and AI-triggered workflows.\nSuggest automation improvements leveraging prompt engineering insights.\nEXPECTED DELIVERABLES / TASK OUTPUT\nPrompt Configuration Error Resolution Log\nWeekly documentation of resolved configuration errors, including before/after examples and performance verification.\nAI Extraction Onboarding Support Report\nSummary of onboarding support activities, including configured prompts, extraction test results, and tuning notes upon completion of the onboarding phase.\nPattern Optimization Package\nBi-weekly documentation of tested patterns optimized for accuracy and efficiency within the AI Optimizer environment; model accuracy at or above defined target thresholds.\nRPA Maintenance Support Summary\nDocumentation of RPA issues supported, resolution approach, and system verification outcomes.\nConfirmation that automation workflows function as expected post-fix.","description_format":"text","description_chars":4544,"description_truncated":false,"requirements":{"experience_years_min":2,"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":false,"industries":["Supply Chain","Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-10-15T21:26:43Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:1","stale_co","win:early","comp:junior"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/traxtech-ai-prompt-engineer","json_url":"https://alion.io/job/traxtech-ai-prompt-engineer.json","meta":{"generated_at":"2026-10-16T15:53:22Z","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":187,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":2242272},"rest":"https://alion.io/mcp/rest/get_company?id=2242272"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftraxtech-ai-prompt-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%2Ftraxtech-ai-prompt-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%2Ftraxtech-ai-prompt-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/traxtech-ai-prompt-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftraxtech-ai-prompt-engineer"}]}