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 robust 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 quick-paced, product-focused environments
Owned a subsystem or workflow end-to-end (requirements architecture implementation launch)
Robust 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.

📌 Ai Applied Engineer Bangalore Bengaluru
🏢 Auquan India
📍 Bengaluru