{"id":103703,"url":"https://alion.io/job/fractal-analytics-senior-full-stack-react-python-developer-role","title":"Senior Full Stack (React + Python ) Developer Role","company":{"id":226,"name":"Fractal","domain":"fractal.ai","url":"https://alion.io/company/fractal-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":43,"ghost_share":0,"stale_share":0.953,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Bengaluru, India","Pune, India","Mumbai, India","Chennai, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"JavaScript","optional":false},{"name":"Jest","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MySQL","optional":false},{"name":"Playwright","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Agile","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLMOps","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-06-26T00:00:00Z","employer_posted_date":"2026-06-26","last_verified_at":"2026-10-17T02:41:48Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":114},"description":"It's fun to work in a company where people truly BELIEVE in what they are doing!\nWe're committed to bringing passion and customer focus to the business.\nJob Locations - BENGALURU/MUMBAI/CHENNAI/ PUNE/ NOIDA/ GURUGRAM/ HYDERABAD/ COIMBATORE\nAbout Company\nFractal is a leading AI and analytics company that helps global enterprises turn data into decisions at scale. We are looking for a hands-on Senior Full Stack Engineer with 6+ years of experience to design, build, and scale enterprise-grade digital products across front-end, back-end, APIs, cloud, DevOps, and AI-enabled application layers. This role requires strong engineering ownership, practical design thinking, and the ability to deliver secure, reliable, and high-performing solutions in collaboration with architects, TPMs, and cross-functional teams.\nRole Brief:\nYou will own critical feature implementation across web applications, APIs, integrations, cloud-native services, and AI-powered capabilities. The role combines deep hands-on engineering with practical participation in technical design, code quality, performance optimization, and operational excellence.\nYou will work closely with architects, TPMs, product managers, QA engineers, DevOps engineers, designers, and peer developers to translate solution intent into scalable, maintainable, and production-ready systems.\n Key responsibilities include:\nDevelop robust, efficient, and maintainable code for critical features, ensuring both functional and non-functional requirements are met.\nParticipate in system and solution design discussions, contributing practical implementation insights, technical trade-offs, and pseudo-code where needed.\nAct as a technical point of contact for day-to-day implementation issues, troubleshoot challenges quickly, and drive timely resolution.\nEnforce and improve code quality through code reviews, engineering standards, automated testing, and secure development practices.\nCollaborate closely with architects, TPMs, product teams, and platform teams to translate high-level designs and AI use cases into scalable, secure, and production-ready solutions.\nBuild and integrate AI-powered application capabilities such as copilots, intelligent assistants, summarization, search, recommendations, and workflow augmentation using LLM APIs and related services where relevant.\nImplement AI-enabled solution patterns including prompt orchestration, retrieval-augmented generation (RAG), grounding strategies, structured outputs, tool or function calling, and quality or safety guardrails for enterprise use cases.\nSupport and improve DevOps practices including build pipelines, CI/CD workflows, automated testing, release readiness, and engineering observability.\nMonitor, troubleshoot, and optimize application, system, and AI feature performance in line with project objectives, reliability expectations, latency targets, and cost considerations.\nDocument technical designs, implementation decisions, and operational considerations to support maintainability, auditability, and knowledge transfer.\nMentor junior engineers by sharing best practices, reviewing work products, and guiding them on sound engineering approaches.\nContribute to technical proposals, estimations, reusable assets, and implementation improvements including automation, refactoring, and component reuse.\nMaintain compliance with security, quality, governance, and audit expectations, and contribute to broader process and capability improvement initiatives within CDT.\nMust Have\n6+ years of hands-on experience building enterprise-grade full-stack applications, with strong ownership of complex engineering workstreams from design through delivery.\nStrong expertise in one or more modern front-end frameworks such as React, , along with solid command of JavaScript/TypeScript, HTML5, and CSS3.\nStrong back-end engineering experience in at least one major stack such as Python (FastAPI, Django, Flask).\nStrong understanding of system design fundamentals, design patterns, API design, scalability, reliability, performance optimization, and distributed application architecture.\nExperience with relational and/or NoSQL databases such as MySQL, PostgreSQL, SQL Server, MongoDB, or similar, including schema design and query performance tuning.\nHands-on experience building and consuming REST APIs and working with modern integration patterns across services and external systems.\nStrong understanding of responsive web design, reusable component-based architecture, accessibility basics, and front-end performance optimization.\nHands-on experience with automated testing practices including unit, integration, and end-to-end testing using tools such as Jest, PyTest, Playwright, Cypress, or equivalent.\nWorking experience with cloud platforms such as Azure, AWS, or GCP, including deployment, configuration, observability, and support for cloud-native environments.\nHands-on experience with containerization and modern engineering environments using tools such as Docker, Kubernetes, or equivalent platforms.\nStrong understanding of DevOps and secure SDLC practices including CI/CD pipelines, source control workflows, code reviews, build automation, and release quality controls.\nHands-on experience integrating AI capabilities into applications, including LLM APIs, prompt design, structured outputs, tool or function calling, and building reliable user-facing AI features.\nGood understanding of retrieval-augmented generation (RAG), vector search, grounding strategies, prompt orchestration, and common GenAI failure modes such as hallucination and response inconsistency.\nExperience implementing evaluation, monitoring, and guardrails for AI-enabled features, including response quality checks, fallback handling, latency and cost awareness, and privacy or security considerations for enterprise use cases.\nAbility to translate solution architecture into detailed implementation plans and contribute effectively to technical design discussions with architects and engineering leads.\nStrong troubleshooting and debugging skills, with the ability to rapidly resolve production and implementation issues while maintaining engineering quality.\nExperience mentoring junior engineers and contributing to engineering best practices, reusable assets, and continuous improvement initiatives.\nExcellent problem-solving, collaboration, and communication skills, with the ability to work effectively in cross-functional and client-facing delivery environments.\nNice to Have\nExperience working in Agile delivery environments with close collaboration across product, QA, DevOps, TPM, and architecture teams.\nExposure to performance tuning, observability, logging, monitoring, caching, and reliability engineering practices in production systems.\nExperience contributing to reusable frameworks, shared components, internal accelerators, or broader engineering capability-building initiatives.\nPrior experience supporting estimations, technical proposals, solutioning discussions, or client-facing technical workshops.\nExposure to AI engineering frameworks and tooling such as LangChain, LangGraph, Semantic Kernel, vector databases, model gateways, or similar ecosystems for building production-grade GenAI applications.\nExperience with LLMOps or MLOps practices such as prompt versioning, evaluation pipelines, experiment tracking, workflow observability, and responsible AI controls.\nExposure to building AI copilots, agentic workflows, recommendation systems, or domain-specific GenAI solutions for enterprise products.\n\nWhat success looks like in this role\nOwn critical full-stack feature implementation and deliver high-quality solutions with minimal oversight.\nConvert architecture intent into scalable, secure, and production-ready implementations across core and AI-enabled application capabilities.\nUphold strong engineering standards across code quality, testing, security, documentation, performance, and DevOps practices.\nAct as a dependable technical anchor by resolving implementation issues quickly and collaborating effectively across functions.\nDrive continuous improvement through reuse, automation, maintainability, mentoring, and contribution to team capability building.\nDeliver reliable AI-enabled experiences with appropriate quality, safety, observability, and cost awareness.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nHiring Related Queries\nIndia: \nOutside India: \nThis inbox does not process resume submissions. All applications must be made through posted job openings\nNot the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!","description_format":"text","description_chars":8882,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-06-26T00:00:00Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.297,"p_room":0.28,"age_days":113,"expected_fill_days":29,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/fractal-analytics-senior-full-stack-react-python-developer-role","json_url":"https://alion.io/job/fractal-analytics-senior-full-stack-react-python-developer-role.json","meta":{"generated_at":"2026-10-18T12:44:06Z","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":18823,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":226},"rest":"https://alion.io/mcp/rest/get_company?id=226"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffractal-analytics-senior-full-stack-react-python-developer-role"},{"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%2Ffractal-analytics-senior-full-stack-react-python-developer-role"},{"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%2Ffractal-analytics-senior-full-stack-react-python-developer-role"},{"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/fractal-analytics-senior-full-stack-react-python-developer-role\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffractal-analytics-senior-full-stack-react-python-developer-role"}]}