AI and data engineering services for fintech and PE-backed SaaS
Systango is a London-headquartered, NSE-listed digital engineering firm building LLM applications, RAG pipelines and multi-agent workflows on a multi-cloud stack spanning AWS, Azure, GCP, Databricks and Snowflake. Hiring is accelerating and tilts toward sales and marketing over engineering, with job posts describing a UK market being built from scratch and a US expansion push, which points to a go-to-market rebuild rather than a delivery-capacity problem.
Notable leadership hires: Tech Community Lead, Lead Generation Executive
Systango is a digital engineering company headquartered in London, founded in 2007, with 201–500 employees and a public listing on India's NSE. It delivers AI, machine learning and data platform engineering for fintech, professional services and private-equity-backed SaaS clients. Its delivery stack covers Python ML libraries such as PyTorch, TensorFlow and scikit-learn, web frameworks including Django, FastAPI and Node.js, and data tooling like Spark, Hadoop, PostgreSQL and MongoDB, deployed with Docker and Kubernetes. The company recruits across India, the United Kingdom and the United States.
Systango works across AWS, Azure and GCP, with Databricks, Snowflake, Spark, Python, PyTorch, TensorFlow, OpenAI, Django, FastAPI, Node.js, Docker, Kubernetes, PostgreSQL and MongoDB.
Yes. Sales is Systango's most active hiring area, alongside engineering and marketing, with senior-level roles focused on building the UK market and growing in the US.
Systango is building LLM-powered AI applications, RAG pipelines and multi-agent workflows. It is also expanding in the UK and US through account-based marketing and executive events.
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Systango's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.