AI Applied Engineer - Bangalore
Auquan · Bengaluru · onsite · Posted 44d ago
Undisclosed4–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- 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 V1s in days, operate with high agency, tight prioritisation, and strong defaults
- Identify patterns across customers and turn them into reusable systems
- Influence architecture and direction of core platform components
- Use AI for coding, testing, debugging, workflow design, and documentation
- Build evals, safety nets, and AI-native engineering workflows
Must-Haves
- 4+ years of software development in fast-paced, product-focused environments
- Owned a subsystem or workflow end-to-end (requirements architecture implementation launch)
- Strong Python fundamentals; think in primitives, patterns, and systems
- Already use AI to automate work or build LLM-powered workflows
- Comfortable translating customer ambiguity into crisp technical solutions
- Able to unblock yourself through learning, experimentation, and AI tools
- Thrive under tight deadlines, high expectations, and minimal process
- Youll have a solid grasp of our tech stack: Python, React / NextJS, Fast API, MongoDB, Redis
Nice-to-Haves
- Built or orchestrated multi-step LLM or agentic workflows
- Experience with financial workflows (credit, investment, ESG, risk)
- Infra/ops exposure (Kubernetes, Terraform, Azure/AWS, CI/CD, observability)
- Experience at early-stage startups
- Built internal frameworks, tooling, or templates used by multiple teams
- Experience with evals, guardrails, or workflow orchestration systems
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
observabilityTerraformKubernetesNext.jsworkflowsworkflow orchestrationorchestrationamazon web servicesredisLarge Language Models (LLMs)debuggingcustomer engineeringPythonMongoDBReact.JsAI ToolsArchitectureSoftware DevelopmentMicrosoft AzureFastAPIArtificial Intelligence
About Auquan
Auquan
Financial Services
11-50
employees
2018
8 years old
London, England
United Kingdom
₹7.1L PA avg
Avg at Auquan
About
Auquan leverages advanced AI to enhance financial services, enabling efficient due diligence, risk monitoring, and strategic decision-making in the finance sector.
Industries
AnalyticsArtificial Intelligence (AI)Big DataFinanceFinancial ServicesFinTech
Employee ratings
10 reviews
4.4/ 5
Culture
3.9
Career growth
3.5
Work-life
3.5
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