{"id":854408,"url":"https://alion.io/job/infomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo","title":"AI & Analytics - Sr. Software Engineer With AI Background - Cairo","company":{"id":679797,"name":"Infomineo","domain":"infomineo.com","url":"https://alion.io/company/infomineo","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","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":["Cairo, Egypt"],"countries":["EG"],"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Vue.js","optional":false},{"name":"AI Agents","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangGraph","optional":true},{"name":"Pulumi","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-06-08T00:00:00Z","employer_posted_date":"2026-06-08","last_verified_at":"2026-11-11T11:26:42Z","board_verified":true,"closed_at":null,"days_open":156,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":156},"description":"About us\nInfomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:\n350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).\nOur proprietary AI orchestrator.\nExtensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.\nReady to kick start your career with us?\nWhy Infomineo? Here’s what sets us apart:\n Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).\nWork with Global Leaders: Our clients are industry leaders - Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.\nLead in AI & Technology: We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.\nThrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.\nAbout this role:\nWe are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer. In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.\nKey Responsibilities:\nData Science, AI & Applied R&D:\nLead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.\nTranslate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.\nDesign, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.\nOwn the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.\nDesign and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.\nDesign, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.\nDevelop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.\nApply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.\nIntegrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.\nFull-Stack Application Development:\nDesign and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.\nBuild or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.\nCollaborate with software engineers to define scalable application architectures, API standards, and integration patterns.\nDevelop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.\nEnsure that data science prototypes are translated into maintainable, secure, and scalable production solutions.\nParticipate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.\nCloud, Deployment & MLOps:\nSupport the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.\nDesign and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.\nApply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.\nCollaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.\nProactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.\nTechnical Leadership & Collaboration:\nLead applied AI and data science initiatives from discovery and prototyping through production deployment.\nMentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.\nWork closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.\nDefine standards and best practices for AI solution design, evaluation, documentation, and delivery.\nCommunicate complex technical concepts clearly to both technical and non-technical audiences.\nQualifications:\n4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.\nStrong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.\nSolid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.\nDeep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.\nProven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.\nExperience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.\nHands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.\nFamiliarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.\nStrong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.\nDemonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.\nBachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.\nPreferred Skills:\nExperience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.\nKnowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.\nExperience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.\nExperience with Infrastructure as Code tools such as Terraform or Pulumi.\nExperience designing data models, analytical pipelines, or BI/dashboard solutions.\nRelevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.\nWhat we offer:\nA competitive compensation and benefits package.\nThe opportunity to lead AI, data science, and technology initiatives with real global impact.\nA dynamic and supportive work environment that values leadership, innovation, and your contributions.\nContinuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.\nApplication Process:\nCandidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.\nInfomineo: Where brilliant minds meet to shape the future of business.\nRequirements\nBenefits","description_format":"text","description_chars":9589,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Market Research","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-13T05:29:25Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.411,"p_room":0.28,"age_days":156,"expected_fill_days":36,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/infomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo","json_url":"https://alion.io/job/infomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo.json","meta":{"generated_at":"2026-11-11T12:44:43Z","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":22872,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"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":679797},"rest":"https://alion.io/mcp/rest/get_company?id=679797"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finfomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo"},{"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%2Finfomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo"},{"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%2Finfomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo"},{"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/infomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finfomineo-ai-analytics-sr-software-engineer-with-ai-background-cairo"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":854408}},{"tool":"search_jobs","arguments":{"company":"infomineo.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":854408},"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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