{"id":2434242,"url":"https://alion.io/job/digico-senior-applied-ai-engineer","title":"Senior Applied AI Engineer","company":{"id":3014320,"name":"Digico Solutions","domain":"digico.solutions","url":"https://alion.io/company/digico-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Claude","optional":false},{"name":"Google Workspace","optional":false},{"name":"Linear","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-13T14:05:07Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Role Overview\nBuild production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.\nTasks & Responsibilities\nDesign and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.\nOwn delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.\nIntegrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).\nTranslate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.\nDocument architecture and decisions in the client's Notion record so infra details never live only in someone's head.\nWork alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.\nSelect and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.\nBuild and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.\nDesign agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.\nInstrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.\nWrite modular infrastructure as code (Terraform) for AI workloads on AWS.\nConduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.\nCompetencies\nCan explain to a client, in plain language, why an agent made the tool call it made\nComfortable debugging a production LLM failure under time pressure, not just in a notebook\nCan wire an MCP server into an agent and debug why a tool call didn't fire\nEducation, Experience & Language\nMaster's degree in Computer Science or equivalent\nPrevious experience building and shipping production ML/AI systems\nFluent in English and Arabic\nTools & Certifications\nStrong Python engineering; comfort with AWS\nPractical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design\nHands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases\nNice to have: AWS Certified Machine Learning Engineer - Associate, AWS Certified Generative AI Developer - Professional, AWS Certified Solutions Architect - Associate or Professional, AWS Certified Developer - Associate, AWS Certified Security - Specialty (relevant given our compliance posture)","description_format":"text","description_chars":2936,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"Arabic","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T10:14:53Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.503,"p_room":0.35,"age_days":48,"expected_fill_days":22,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-13T16:38:10Z"},"pay":null,"html_url":"https://alion.io/job/digico-senior-applied-ai-engineer","json_url":"https://alion.io/job/digico-senior-applied-ai-engineer.json","meta":{"generated_at":"2026-10-13T16:38:10Z","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":25206,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":3014320},"rest":"https://alion.io/mcp/rest/get_company?id=3014320"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdigico-senior-applied-ai-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%2Fdigico-senior-applied-ai-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%2Fdigico-senior-applied-ai-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/digico-senior-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdigico-senior-applied-ai-engineer"}]}