A

Auquan Ltd

AI-driven financial insights from unstructured data

AI Applied Engineer

Full-TimeUpdated on 10/23/2026
No salary listed
Mid
Bengaluru, Karnataka, India
HybridOffice-first; regular in-person collaboration is expected.
Software EngineeringAI Application Engineering

About the job

Requirements
  • At least 4 years of software development experience in fast-paced, product-focused environments.
  • Have owned a subsystem or workflow end-to-end, from requirements through architecture, implementation, and launch.
  • Have strong Python fundamentals and think in primitives, patterns, and systems.
  • Already use artificial intelligence to automate work or build large language model-powered workflows.
  • Be comfortable translating customer ambiguity into crisp technical solutions.
  • Be able to unblock yourself through learning, experimentation, and artificial intelligence tools.
  • Thrive under tight deadlines, high expectations, and minimal process.
  • Have a solid grasp of Python, React, Next.js, FastAPI, MongoDB, and Redis.
Responsibilities
  • Take ambiguous workflow requests and turn them into scoped, architected, implemented, and deployed multi-agent systems.
  • Build reliable multi-step, multi-agent workflows used in production by financial institutions.
  • Own reliability, latency, success metrics, and customer adoption.
  • Work directly with customer engineering teams to deliver smooth deployments.
  • Convert bespoke workflows into reusable platform primitives and components.
  • Build orchestration logic, tools, templates, and pipelines used across engineering pods.
  • Ship initial versions in days and operate with high agency, tight prioritisation, and strong defaults.
  • Identify patterns across customers and turn them into reusable systems.
  • Influence the architecture and direction of core platform components.
  • Use artificial intelligence for coding, testing, debugging, workflow design, and documentation.
  • Build evaluations, safety nets, and artificial-intelligence-native engineering workflows.
Desired Qualifications
  • Have built or orchestrated multi-step large language model or agentic workflows.
  • Have experience with financial workflows such as credit, investment, environmental, social, and governance, or risk.
  • Have infrastructure or operations exposure, including Kubernetes, Terraform, Azure or AWS, continuous integration and continuous delivery, and observability.
  • Have experience at early-stage startups.
  • Have built internal frameworks, tooling, or templates used by multiple teams.
  • Have experience with evaluations, guardrails, or workflow orchestration systems.

About the company

A

Auquan Ltd

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Auquan uses AI to turn large amounts of unstructured data into actionable insights for financial services, especially private equity and ESG. Its Intelligence Engine combines retrieval-based and generative AI to pull real-time information and produce concise summaries and risk signals about private companies and equities. The platform is offered as an insights-as-a-service, with revenue from subscriptions and service fees. By focusing on ESG, regulatory risk, and timely deal signals, Auquan helps firms make faster, better investment decisions while reducing downside risk.

Company Size

51-200

Company Stage

Series A

Total Funding

$22.1M

Headquarters

London, United Kingdom

Founded

2018

Benefits

  • Health Insurance
  • 401(k) Retirement Plan
  • Stock Options
  • Performance Bonus
  • Retirement

Company News

Companies House
Aug 10th, 2026
AUQUAN LTD filing history - Find and update company information - GOV.UK

AUQUAN LTD - Free company information from Companies House including registered office address, filing history, accounts, annual return, officers, charges, business activity

Associated Press
Jan 28th, 2026
ERM partners with Auquan to deploy agentic AI for sustainability advisory in finance

ERM, the world's largest sustainability consultancy, has partnered with Auquan, an agentic AI firm, to deploy AI agents across sustainability workflows for financial institutions. ERM will use Auquan's Sustainability Agent to enhance the speed and scale of insights delivered to clients navigating complex regulations. The collaboration addresses growing demand for reputational risk assessments as requirements like SFDR Article 8 intensify. Auquan's platform scans global news, regulatory disclosures and stakeholder reports to identify controversies and adverse media related to companies. The partnership combines ERM's sustainability expertise across institutional finance with Auquan's autonomous AI technology. Auquan, backed by Peak XV and others, has saved customers over 100,000 hours of manual work since 2024 and was named a 2025 Gartner Cool Vendor in Agentic AI.

Brown Brothers Media
Mar 20th, 2025
Auquan Launches Industry-First AI Agent Purpose-Built for Risk Monitoring and Detection for Financial Services

LONDON & NEW YORK - (BUSINESS WIRE) - #AI - Auquan, the market leader in generative AI for deep work in financial services, today announced its Risk Agent, the first and only AI agent that autonomously completes entire risk monitoring and reporting workflows to provide comprehensive early warning detection of emerging risks in portfolios.

FF News
Mar 5th, 2025
Auquan Sustainability Agent Now Autonomously Completes Sfdr Good Governance Assessments And Reporting Using Ai

Auquan, the market leader in AI agents for deep work in financial services, today announced new Sustainable Finance Disclosure Regulation (SFDR) Good Governance capabilities for its Sustainability Agent. This empowers investment, sustainability and compliance teams to instantly analyze portfolios and companies’ governance practices against SFDR requirements. This new capability transforms a workflow that traditionally takes days of manual research and production into complete reports instantly.As regulatory requirements intensify, firms face mounting pressure to systematically evaluate governance practices across their portfolios. Every day, talented investment professionals spend countless hours manually researching and producing SFDR good governance assessments, which are mandatory for financial products classified under Articles 8 and 9. Instead of high-impact work, employees are gathering data to demonstrate robust policies and practices across sound management structures, employee relations, staff remuneration, and tax compliance.“Finance professionals spend countless hours manually gathering evidence of good governance practices from volumes of fragmented sources just to maintain SFDR compliance. This can be especially difficult for credit teams that don’t have access to their companies’ internal information,” said Chandini Jain, CEO of Auquan

Business Insider
Jan 31st, 2025
Auquan raises $8M for AI automation.

Auquan, founded by Chandini Jain in 2018, raised $8 million in seed funding led by Peak XV and Neotribe Ventures. The startup launched an AI product in late 2023 that automates research tasks for finance firms, securing clients like UBS, T. Rowe Price, and Blue Owl Capital. Auquan's technology automates document creation, saving clients significant time. It has generated nearly $2 million in annual recurring revenue since its launch.