{"id":3944199,"url":"https://alion.io/job/ambush-machine-learningai-engineer","title":"Machine Learning/AI Engineer","company":{"id":4526840,"name":"Ambush","domain":"getambush.com","url":"https://alion.io/company/ambush-5","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Freshteam","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto Alegre, Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"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":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google ADK","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Claude Code","optional":true},{"name":"Docker","optional":true},{"name":"GraphRAG","optional":true},{"name":"Hybrid Search","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"React.js","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-08T18:10:45Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-08T18:10:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a hands-on AI Engineer to design, build, and deploy enterprise-grade GenAI and Agentic AI solutions for complex financial services workflows. This role focuses on building the complete workflow around an AI model, not just prompts or chatbots. That workflow includes exception classification, root-cause analysis, impact assessment, and remediation across large-scale transaction and data-processing environments. The ideal candidate combines strong Python, SQL, and software engineering fundamentals with practical experience taking LLM and agentic applications beyond proof of concept and into production.\nKey Responsibilities\nBuild AI workflows for exception classification, triage, root-cause analysis, impact assessment, and remediation recommendations.\nDevelop agentic workflows involving orchestration, tool/function calling, state management, and human-in-the-loop validation.\nCorrelate new exceptions with historical issues, known root causes, business rules, and transaction/data attributes.\nBuild Python and SQL-based services to query, transform, and analyze large structured enterprise datasets.\nDevelop reusable tools and services that AI agents can invoke for retrieval, investigation, analysis, and workflow execution.\nIntegrate AI applications with enterprise APIs, databases, workflow/ticketing platforms, and internal data sources.\nApply RAG and context retrieval over regulatory documents, historical knowledge, and issue repositories.\nImplement confidence scoring, validation, guardrails, and traceability for AI-generated outcomes.\nBuild backend services and APIs using Python (FastAPI) and deploy them on a major cloud platform.\nImplement testing, logging, evaluation, observability, and production engineering practices.\nCollaborate with onshore and offshore engineers, architects, business analysts, data engineers, and application teams.\nRequirements\nStrong hands-on proficiency in Python backend development and building production-grade services with frameworks like FastAPI.\nStrong SQL and data analysis skills, with experience working with large structured datasets.\nProven experience building LLM/GenAI applications that went beyond proof-of-concept chatbots.\nHands-on experience with at least one agent or workflow orchestration framework, such as LangGraph, Google ADK, CrewAI, AutoGen, Semantic Kernel, or an equivalent custom framework.\nSolid understanding of tool/function calling and how to design reusable tools for agents.\nExperience with RAG and retrieval techniques.\nExperience implementing LLM evaluation, guardrails, and validation for AI outputs.\nSolid software engineering fundamentals: Git, testing, code review, and CI.\nHands-on experience deploying backend services on a major cloud platform (AWS preferred, GCP or Azure considered).\nStrong analytical, debugging, and root-cause analysis skills.\nVery good English and the ability to collaborate effectively across distributed engineering and business teams.\nA pragmatic approach to AI, knowing what belongs in deterministic logic and where an LLM delivers tangible, measurable value.\nWe're looking for someone who is comfortable adjusting their working hours to ensure sufficient overlap with our team in Brazil.\nNice to Have\nExperience in financial services, especially regulatory reporting, capital markets, trade lifecycle, post-trade processing, transaction reporting, reconciliations, exception management, or risk and controls.\nFamiliarity with regulations such as EMIR, MiFID II, or SFTR.\nExperience with Model Context Protocol (MCP) and reusable agent tool interfaces.\nKnowledge of Knowledge Graphs, Graph RAG, or data lineage concepts.\nExperience with vector databases, hybrid search, or re-ranking.\nExperience with AI observability and evaluation frameworks.\nExperience with AWS AI services (Bedrock, SageMaker) and infrastructure tooling (Docker, Kubernetes, Terraform).\nAbility to translate requirements into clear specifications, tasks, and acceptance criteria before implementation (Spec-Driven Development).\nDisciplined use of Claude Code or similar AI coding assistants.\nBasic React or frontend integration experience.\nAmbush is a people first company where talented, thoughtful individuals come together to build meaningful products and lasting partnerships. We believe the best work happens when people feel supported, trusted and empowered to bring their full abilities to the table.\nSince 2015, because of our people first and long term mindset, we have grown into a partner relied on by some of the best companies in the world. We combine strong engineering, design and strategy with a growing strength in AI to help our clients see what is next and achieve bigger outcomes.\nAt the heart of everything we do is our team. We collaborate, take risks, lift each other up and take pride in doing work the right way, not settling for a quick makeshift solution. If you join Ambush, you join a group of people who want you to succeed and who show up for each other every day.\nWe believe in and expect real teamwork, a constant drive to be better, and delivering meaningful long term outcomes that we can be proud of together.","description_format":"text","description_chars":5153,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-08T18:10:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":33,"reasons":["conf:1","win:early"],"computed_at":"2026-11-08T19:28:03Z"},"pay":null,"html_url":"https://alion.io/job/ambush-machine-learningai-engineer","json_url":"https://alion.io/job/ambush-machine-learningai-engineer.json","meta":{"generated_at":"2026-11-08T19:28:03Z","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":40651,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4526840},"rest":"https://alion.io/mcp/rest/get_company?id=4526840"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fambush-machine-learningai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fambush-machine-learningai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fambush-machine-learningai-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/ambush-machine-learningai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fambush-machine-learningai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3944199}},{"tool":"search_jobs","arguments":{"company":"getambush.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3944199},"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); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}