Job Description

Senior AI Backend Engineer

Build production AI for the future of financial markets.

Join Version 1 to build intelligent products for a leading US-based financial technology and digital assets business operating across institutional trading, investment management and AI infrastructure.

You will engineer the secure, scalable services behind production AI that supports high-value decisions across trading, risk and portfolio management. Collaborating with an experienced US-based engineering team, you will build Python APIs, real-time data integrations and AI-enabled backend services that solve genuine problems across financial markets. This is AI engineered for measurable business impact.

Working with Financial Services, product and engineering stakeholders in the United States, you will translate business requirements into reliable software and connect applications to an established AI platform powered by Amazon Bedrock, AgentCore and SageMaker.

Why this prospect stands out

- Build production AI services rather than isolated proofs of concept.

- Solve genuine challenges across trading, risk and portfolio management.

- Own backend services from design and data modelling through to production operation.

- Work with Python, AWS, LLMs, RAG, embeddings and real-time data.

- Influence architecture,



reliability and measurable business outcomes.

- Collaborate directly with senior US-based product and engineering teams.

What you will do

- Design, build and maintain Python backend services and REST APIs that power Financial Services products.

- Design data models and work with relational and other data stores based on the needs of each product.

- Integrate backend services with an established AI platform using Amazon Bedrock, AgentCore and SageMaker-based APIs.

- Build application features using LLMs, RAG, embeddings, prompt engineering and function calling.

- Apply distributed systems and software engineering principles to build secure, scalable and maintainable services.

- Write automated tests and maintain CI/CD pipelines for reliable, repeatable deployments.

- Diagnose and resolve production issues involving latency, reliability, performance and data quality.

- Implement observability across logs, metrics, tracing and alerts, with a focus on operational health and cost efficiency.

- Contribute across data pipelines, infrastructure and frontend touchpoints where needed to deliver features end to end.

- Partner with product, business, full-stack, data and AI platform teams, and share backend and AI-integration best practices.

📌 Senior AI Backend Engineer (Mumbai)
🏢 Version 1
📍 Mumbai