{"id":2489799,"url":"https://alion.io/job/chiri-full-stack-software-engineer-data-platform","title":"Full Stack Software Engineer - Data Platform","company":{"id":4423461,"name":"Chiri","domain":"chiri.ai","url":"https://alion.io/company/chiri-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":87000,"max_usd":217000,"period":"year","method":"global_role_seniority_cell","sample_n":6426},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Next.js","optional":false},{"name":"Perplexity","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"Edge AI","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-06-29T21:55:07Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-15T01:54:20Z","board_verified":true,"closed_at":null,"days_open":107,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":106},"description":"About Chiri\nChiri collapses fragmented software into one governed operating layer for mid-sized businesses: companies with valuable workflows and real urgency, but no internal AI organization to take a use case to production.\nWe combine our platform with forward-deployed expertise to connect customers' existing systems, build what they need, and operate it in production.\nIncreasingly, buyers are asking ChatGPT, Perplexity, Gemini, Claude, and other AI systems what they should use. Chiri must be one of their top answers.\nRole Overview\nWe're looking for a Full Stack Software Engineer based in South or Central America to help design, build, and scale software solutions for both Chiri and our clients.\nThis role is primarily backend-focused (approximately 80% backend / 20% frontend) and is ideal for an engineer who enjoys building products end-to-end, from APIs and integrations to user-facing experiences. You'll work on a combination of client platforms, internal products, AI-powered solutions, and business automation initiatives that drive measurable outcomes.\nOur engineers don't just build features - they help solve business problems. Strong candidates can clearly articulate the impact of their work, whether that's improving operational efficiency, reducing manual effort, increasing revenue opportunities, or improving customer experiences.\nYou'll start by learning Chiri's engineering patterns, frameworks, and platform components, then progressively take ownership of larger features, systems, and technical initiatives as you grow within the team.\nKey Responsibilities\nDesign, develop, and maintain modern, data-driven full-stack applications.\nBuild and optimize scalable backend systems, complex data models, and performant APIs using Python and TypeScript.\nImplement efficient data pipelines and integration strategies to manage, transform, and flow data effectively across internal and client-facing systems.\nDevelop performant and user-friendly frontend applications using modern web technologies.\nBuild features and solutions for both client platforms and Chiri's internal products.\nContribute to AI-powered applications, integrations, automations, and platform capabilities.\nTranslate business requirements into scalable technical solutions.\nParticipate in architecture discussions and contribute to system design decisions.\nCollaborate with engineers, product stakeholders, and client teams to deliver high-quality solutions.\nOptimize application performance, reliability, and maintainability.\nWrite clean, maintainable, and well-tested code.\nParticipate in code reviews and contribute to engineering best practices.\nRequired Skills and Experience\n5+ years of professional software engineering experience.\nStrong experience with Python and/or TypeScript in production environments.\nProfessional experience building backend services, APIs, and complex data-driven integrations.\nStrong proficiency in database design, data modeling, and performance optimization for relational and NoSQL systems.\nExposure to modern frontend frameworks such as React or Next.js.\nExperience working with cloud platforms, preferably AWS.\nExperience with Docker and containerized application development.\nStrong understanding of software architecture, system design, and engineering best practices.\nExperience owning features from design through deployment and ongoing support.\nStrong problem-solving and analytical skills.\nExcellent written and verbal communication skills in English.\nAbility to work independently and collaborate effectively in a remote environment.\nPreferred Qualifications\nStrong Python experience, particularly in backend systems and integrations.\nExperience building SaaS products or customer-facing software platforms.\nExperience working in startup or high-growth environments.\nExperience architecting, maintaining, and optimizing data storage solutions using PostgreSQL, MongoDB, Redis, or similar databases.\nExperience with data engineering concepts, such as ETL workflows, data warehousing, or processing high-volume data streams.\nExperience integrating, mapping, and transforming data from disparate systems to drive business insights and automation.\nExperience integrating third-party systems, APIs, and business applications.\nExposure to AI-powered applications, LLMs, automation workflows, or agent-based systems.\nExperience participating in customer meetings, requirements gathering, or solution design discussions.\nDemonstrated examples of delivering measurable business outcomes through technology.\nExperience mentoring engineers or contributing to technical decision-making.\nWhat We Offer\nA fast-paced, fully remote environment with meaningful ownership.\nThe opportunity to help define what“enterprise-ready AI” actually means.\nAccess to cutting-edge AI tools, models, and internal playbooks.\nThe chance to help clients achievetangible outcomes - like 50% faster workflows - without compromising governance or trust.\nDirect collaboration with experienced engineers and company leadership.\nThe opportunity to grow from feature ownership into broader technical and architectural responsibility.\nA culture that values curiosity, continuous learning, and pragmatic problem-solving.\nPlease note this is location specified for LatAm based candidates.\nOur SCOUT Values\nOur values are not wall art. They describe how we expect people to operate.\nSeek to Understand\nAssume you might be wrong. Clarity before action.\nCall It Out\nSee something, say something. Say the hard thing.\nOwnership Mentality\n\"That's not my job\" does not exist.\nUse Human Judgment\nJudgment, context, and care come from us. AI is a tool.\nTalk with Precision\nConcise. 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