Full-Time
Full Stack Senior Engineer
React+Python
Fractal Analytics
5,001-10,000 employees
Enterprise AI solutions for decision making
No salary listed
Mumbai, Maharashtra, India + 6 more
More locations: Coimbatore, Tamil Nadu, India | Hyderabad, Telangana, India | Pune, Maharashtra, India | Chennai, Tamil Nadu, India | Noida, Uttar Pradesh, India | Bengaluru, Karnataka, India
In Person
null
 Software Engineering (1) |
|---|
- 7-12 years of demonstrable experience designing, building, and working as a Fullstack Engineer for enterprise web applications
- Expert-level proficiency with JavaScript (ES6), HTML5 & CSS
- Expert-level proficiency with ReactJS or VueJS
- Expert-level proficiency with Node.js
- Expert-level proficiency with Python (3.4+), Django (2.1+) or Flask Or Java
- Familiarity with common databases (RDBMS such as MySQL & NoSQL such as MongoDB) and data warehousing concepts (OLAP, OLTP)
- Understanding of REST concepts and building/interacting with REST APIs
- Deep understanding of a few UI concepts: Cross-browser compatibility and implementing responsive web design; Hands-on experience with test driven development, using testing libraries like Jest, PyTest and Nose; Familiarity with common JS visualization libraries such as D3, Chart.js, Highcharts, etc.
- Deep understanding of core backend concepts: Develop and design RESTful services and APIs; Develop functional databases, applications, and servers to support websites on the back end; Performance optimization and multithreading concepts; Experience with deploying and maintaining high traffic infrastructure (performance testing is a plus)
- In addition, the ideal candidate would have great problem-solving skills, and familiarity with code versioning tools such as Github
- Managing, developing & maintaining the backend and frontend for various Data to Decision projects for our Fortune 500 client
- Work closely with the data science & engineering team to integrate the algorithmic output from the backend REST APIs
- Work closely with business and product owners to create dynamic infographics with intuitive user controls
- Participate in UAT, and diagnose & troubleshoot, bugs and application integration issues
- Create and maintain documentation related to the developed processes and applications
- Familiarity with Microsoft Azure Cloud Services (particularly Azure Web App, Storage and VM), or familiarity with AWS (EC2 containers) or GCP Services
- Experience working with UX designers and bringing design to life
- Experience with Microservices, Messaging Brokers (e.g., RabbitMQ)
- Experience with reverse proxy engines such as Nginx, Apache HTTPD
- Familiarity with Github Actions or any other CI/CD tool (e.g., Jenkins)
Fractal Analytics helps large enterprises use AI to improve decision making by combining AI, data engineering, and design across multiple products. Its offerings include Crux Intelligence for AI-driven insights, Eugenie.ai for sustainability, Asper.ai for revenue growth, and Senseforth.ai for conversational AI, plus Qure.ai in healthcare. The company applies machine learning, NLP, and data science to extract insights, automate tasks, and power enterprise conversations across analytics, sustainability, revenue, and customer interactions. Its goal is to power every human decision in the enterprise by delivering a broad enterprise-focused AI portfolio with a global delivery footprint and recognition from industry analysts and awards.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
New York City, New York
Founded
2000
Simplify's Take
What believers are saying
- Q3 revenue grew 21% YoY; Healthcare segment surged 78% YoY.
- Six clients now generate $20M+ revenue each, up from four.
- Triple-digit SaaS subscription growth offers valuation re-rating potential.
What critics are saying
- 10% revenue from single Magnificent 7 client risks sudden loss.
- PE shareholders flood market with ₹1,810 Cr OFS post-May 13.
- OpenAI's o1 models commoditize Fractal's consulting via cheaper APIs.
What makes Fractal Analytics unique
- India's first listed enterprise AI company with Fortune 500 client base.
- PiEvolve autonomous ML engine surpasses 60% on OpenAI's MLE-Bench.
- Healthcare AI model outperforms ChatGPT-5 and Gemini Pro 3.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Holidays
Parental Leave
Unlimited Paid Time Off
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 1%Fractal Analytics, a newly listed AI company, reported consolidated revenue of INR 8,544 million for Q3 FY2026, growing 21% year-on-year. The company's profit after tax reached INR 1,001 million, whilst adjusted EBITDA grew 24% to INR 1,521 million. Growth was driven by the Healthcare and Life Sciences segment, which grew 78% year-on-year, and Banking and Financial Services, up 26%. Fractal expanded its gross margin to 47.2% and achieved a net revenue retention of 114%. The company's AI health assistant became the first model to score above 50 on OpenAI's HealthBench (Hard), outperforming ChatGPT-5 and Gemini Pro 3. Fractal now serves six clients generating over $20 million in revenue each, up from four previously.
Fractal, a global enterprise AI company, has launched PiEvolve, an evolutionary agentic engine for autonomous machine learning and scientific discovery. The system ranks among top-performing agents on OpenAI's MLE-Bench, becoming the first evaluated agent to surpass 60% in Overall Medal Rate and 80% in MLE-Bench-Lite performance. PiEvolve continuously tests and improves solutions using a graph-structured search architecture that integrates reasoning, code generation and validation. It delivers competitive results within 24 hours whilst maintaining efficiency, with strong performance evident after just 12 hours of runtime. The system features continuous optimisation, intelligent memory to avoid local optima, dual strategy for debugging, and production-ready capabilities including pause and resume functions. Fractal aims to deploy PiEvolve across complex optimisation problems in supply chains, financial services and data centre operations.
Fractal Analytics' initial public offering received a muted response on its first day of bidding on Monday, garnering just 9% subscription. The AI solutions provider received bids for 15.8 lakh shares against 1.86 crore shares on offer. The retail individual investors category attracted 35% subscription, whilst the non-institutional investors quota achieved 7% subscription. The three-day IPO continues through the week.
Fractal Analytics has opened a ₹2,834-crore IPO at ₹857-₹900 per share, down from an original ₹4,900-crore target. The Mumbai-based analytics firm will allocate ₹355 crore—approximately 35% of proceeds—to AI development, research and investments, with remaining funds servicing debt and capital expenditure. The company is focusing resources on its Cogentic platform, which provides AI solutions for invoice-to-cash, customer experience and revenue growth. Fractal aims to expand margins and strengthen its position in healthcare, banking and consumer goods sectors. The IPO's timing benefits from easing US-India trade tensions and improved client spending conditions. The successful pricing may encourage further AI-focused listings in India's public markets.
Enterprise AI solutions unicorn Fractal Analytics has reduced its initial public offering size by 42% to ₹2,834 crore, according to a prospectus filed with SEBI on 2 February. The IPO comprises a fresh issue of ₹1,024 crore and an offer for sale of ₹1,810 crore. Major shareholders Quinag Bidco (managed by Apax Partners), TPG Fett Holdings and GLM Family Trust will sell stakes through the offer. The IPO opens on 9 February and closes on 11 February, with anchor bidding beginning on 6 February. The company had initially filed for an IPO size of ₹4,900 crore. Fractal has been selected by the Indian government to build India's first large reasoning model under the India AI Mission.