{"id":4144860,"url":"https://alion.io/job/cubettech-ai-data-engineer","title":"AI & Data Engineer","company":{"id":2436624,"name":"CubetTech","domain":"cubettech.com","url":"https://alion.io/company/cubettech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kochi, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-11-12T05:50:23Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T06:42:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"AI & Data Engineer\nWe are looking for an AI and Data Engineer who can operate across the full\ndelivery stack - from cloud infrastructure and data pipelines through to LLM\napplication development and client-facing requirements discovery.\nThis is a hands-on role for someone who builds things, ships fast, and is\ncomfortable with ambiguity. You will work across multiple client engagements\nsimultaneously, own your workstreams end to end, and contribute to a\ngrowing technical practice.\nJOB DESCRIPTION INCLUDES\n1. Cloud Infrastructure & DevOps\nProvision and manage cloud infrastructure on AWS or Azure. Deploy and\nmaintain environments for active client engagements. Own your\nenvironments - do not wait for someone else to unblock you.\nWrite infrastructure as code using Terraform or equivalent. All\nenvironments are version-controlled, reproducible, and deployable\nwithout manual steps.\nContainerise applications using Docker. Implement CI/CD pipelines\nusing Azure DevOps, GitHub Actions, or equivalent.\nApply identity, access, and networking fundamentals across all\nenvironments. IAM, RBAC, SAS tokens, VPC configuration. Security is not\noptional.\n2. Data Engineering & Integration\nDesign and implement data pipelines and orchestration workflows.\nWork across SQL, data modelling, and Python. Handle structured and\nunstructured data from multiple sources.\nBuild and integrate APIs using REST, FastAPI, or equivalent. Connect\ndisparate client systems using appropriate integration patterns.\nWork with messy, undocumented client data and make it useful. Apply\ndata quality and transformation approaches that are pragmatic and\nfast rather than perfect and slow.\n3. LLM & AI Application Development\nBuild LLM-enabled applications: prompting, RAG architectures,\nembeddings, and evaluation frameworks. Use open-source and\ncommercial LLM providers as the use case demands.\nDesign and implement RAG systems for document-heavy\nenvironments. Handle chunking, embedding, vector store selection, and\nretrieval quality evaluation end to end.\nBuild evals and testing frameworks for LLM outputs. AI application\nbehaviour must be measurable and reproducible.\nApply prompting best practices and LLM application patterns\nappropriate to the use case. Do not over-engineer. The measure of\nsuccess is a working system in front of the client.\nDocument AI application architecture so the client team can operate it\nafter you leave. Handover is part of the job.\n4. Consulting Delivery\nTake problem briefs from the Managing Partner or Technical Lead and\nturn them into working solutions. Not everything will be clearly defined.\nAsking the right questions, scoping tightly, and delivering something\ndemonstrable is the job.\nScope a POC down to the smallest provable increment. Prioritise rapid\nprototyping over polished engineering. Speed of iteration matters more\nthan perfection in the early stages.\nEstimate accurately and hit short timelines. Communicate blockers\nearly to the Technical Lead. If something is going to be late, say so\nbefore it is too late to do anything about it.\nContribute to a growing technical practice. Share what you learn,\ndocument what you build, and help make the next engagement faster\nthan the last one.\nTECHNICAL REQUIREMENTS\nFormal qualifications are not the primary criterion. We want to see evidence\nof delivery. Show us what you have built.\nCore technical stack\nCloud: AWS or Azure - at least one deeply; compute, storage,\nnetworking, identity\nInfrastructure as Code: Terraform or equivalent\nContainerisation: Docker, basic orchestration\nLanguages: Python - data wrangling, scripting, glue code - and SQL\nYou should also have\nData pipelines and orchestration - you have built them and they ran in\nproduction\nAPIs and integration patterns - REST, FastAPI, or equivalent\nLLM application work - prompting, RAG, embeddings, evals. Not just\nexperimented with. Built something.\nCI/CD - Azure DevOps, GitHub Actions, or equivalent\nObservability and debugging in environments you did not build\nWHAT WE ARE LOOKING FOR\nSomeone who is comfortable with ambiguity. Client requirements are\noften vague, data is often messy, and timelines are always short. That\nneeds to excite you, not frustrate you.\nA track record of scoping and shipping POCs and MVPs quickly. We\nvalue speed of learning and delivery over years of experience.\nSomeone who communicates proactively. Blockers get raised early.\nNothing is hidden until the deadline.\nA genuine interest in the practical application of AI - not the hype. You\nread the papers and you also ship the code.\nBased in or able to work aligned to South African business hours. The\nrole is remote-first with occasional on-site requirements.\nTECHNICAL SKILLS\nProgramming: Python, JavaScript frameworks - Next.js, React\nadvantageous - SQL\nFrameworks & Tools: Node.js, PyTorch, Docker, Kubernetes\nData & Integration: RESTful APIs, microservices architecture, message\nqueues\nDevOps & Version Control: Git/GitHub, CI/CD pipelines\nSystems: Windows and Linux environments\nCloud Platforms: AWS, Azure, or GCP advantageous\nCORE COMPETENCIES\nStrong problem-solving, analytical, and system-thinking capability\nAbility to design scalable, maintainable, and secure software solutions\nStrong communication skills with technical and non-technical\nstakeholders\nHigh levels of ownership, accountability, and professional judgement","description_format":"text","description_chars":5349,"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":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-11-12T06:42:08Z"}],"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":27,"reasons":["conf:1","win:early"],"computed_at":"2026-11-12T08:06:37Z"},"pay":null,"html_url":"https://alion.io/job/cubettech-ai-data-engineer","json_url":"https://alion.io/job/cubettech-ai-data-engineer.json","meta":{"generated_at":"2026-11-12T08:06:37Z","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":16298,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"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":2436624},"rest":"https://alion.io/mcp/rest/get_company?id=2436624"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcubettech-ai-data-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%2Fcubettech-ai-data-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%2Fcubettech-ai-data-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/cubettech-ai-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcubettech-ai-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4144860}},{"tool":"search_jobs","arguments":{"company":"cubettech.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4144860},"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. 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