Software Engineer AI Platform

BUSINESS UNIT DESCRIPTION:

The Capital Markets Technology Team at CIBC is responsible for delivering advanced technology solutions that drive the success of the bank's Capital Markets business. This team encompasses specialized groups, including Derivatives Technology, Capital Markets Data Analytics, Electronic Trading, Fixed Income, FX, and Risk Management Software, Equities Technology etc each playing a vital role in supporting efficient, secure, and scalable trading and analytics platforms. By developing and maintaining robust systems for derivativesincluding sophisticated risk management software essential for monitoring, analyzing, and mitigating derivatives riskenabling high-performance electronic trading, providing comprehensive technology for fixed income and foreign exchange trading, and delivering actionable insights through advanced data analytics, the team ensures operational excellence, regulatory compliance, and superior client service. Through continuous innovation and alignment with strategic business objectives, the Capital Markets Technology Team empowers CIBC to manage risk effectively, respond to market opportunities, and deliver exceptional value to clients.

JOB PURPOSE:

Position summary:

• You will join a senior team building CIBC's agentic AI platform for Capital Markets. As a Software Engineer on the AI Platform, you will build, test, and operate the reusable services that give AI agents and applications reliable, secure access to structured and unstructured data.
• This is a hands-on individual contributor role, working alongside senior engineers, with a clear path to a senior engineering role as you grow. You will work across ingestion, search, retrieval APIs, metadata, caching, and evaluation, using Python, FastAPI, Qdrant, Azure AI Search, Databricks, LangGraph, Pydantic, and MLflow.
• Prior hands-on RAG experience is a plus but not required. We are looking for engineers with a with a solid track record of shipping production software, and the curiosity to apply it to retrieval-based AI systems.
• At CIBC India we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (including on-site and remote work) will be discussed at the time of your interview.

Responsibilities:

Delivery and ownership:

• Write, review, test, and release production code every day at a high pace, without compromising quality.
• Own features and components end to end, from design to production, with guidance from senior engineers on larger design decisions.
• Use AI coding assistants to accelerate delivery, while critically reviewing generated code for correctness, security, and maintainability.

Retrieval platform:

• Build reusable ingestion and retrieval services for unstructured documents and structured data, from parsing and indexing through to context assembly.
• Define clear APIs, metadata schemas, and structured outputs, and expose retrieval as tools that AI agents can call.
• Help measure and improve retrieval quality (including precision, recall, and hallucination reduction), latency, and cost against clear targets, using techniques such as hybrid search, reranking, and caching.
• Ensure retrieval is accurate, context-aware, and auditable, so answers can be traced back to their sources.

Production operations:

• Help run services reliably in production withautomated testing, CI/CD, containerized deployment, observability, and failure recovery.
• Build access controls, data lineage, and safe handling of sensitive data into every retrieval path.

Collaboration:

• Work closely with platform, data, security, and front-end teams across India and the UK, including some overlap with UK working hours.
• Document your designs and decisions clearly, and follow and contribute to the team's engineering standards.
• Support and mentor other engineers through code reviews and design discussions.

Growth areas:

As the platform grows, the role offers scope to expand into semantic layers over risk and PnL data, knowledge graphs, real-time data flows, and agentic workflows.

Knowledge and Skills:

You bring 7+ years of software engineering experience. You have personally built and shipped production software, with well-tested code and hands-on experience supporting it in production. Experience with a high-volume or business-critical system is a plus. Be ready to explain your own technical contribution, the trade-offs you made, and the outcomes.
Preferred: Bachelor's degree or higher in Computer Science or a related field, or equivalent practical experience.

Must-have skills:

• Strong software engineering in Python:you build maintainable APIs and data pipelines, test them effectively, and explain your technical decisions clearly.
• Experience supporting services in production, including monitoring, debugging, and fixing incidents.
• Experience using measurements, such as quality, latency, or reliability, to guide and verify improvements.
• Experience working with data from multiple sources, with attention to schemas, metadata, and access controls.
• Hands-on use of AI coding agents, with the judgement to catch low-quality generated code, unnecessary churn, weak abstractions, security defects, and inadequate tests before they reach production.
• Working knowledge of search and retrieval concepts, such as indexing, embeddings, and ranking.
• The ability to learn unfamiliar technologies and domains quickly.

Good to have:

• Hands-on experience with RAG, information retrieval, reranking, or retrieval evaluation.
• Experience building applications with LLM APIs, including prompting, structured outputs, and cost and latency trade-offs.
• Experience with parts of our stack, such as FastAPI, Qdrant, Azure AI Search, Databricks, LangGraph, Pydantic, and MLflow.
• Experience building on Azure, including containers, Kubernetes, and identity-based access.
• Experience with document parsing and extraction (PDFs, tables, OCR).
• Exposure to semantic models, metadata systems, or knowledge graphs.
• Experience enabling AI agents or other applications through reusable platform services and tool interfaces such as MCP.
• Familiarity with capital-markets data (such as trades, curves, surfaces, risk, and PnL), or experience delivering software in another complex, regulated domain.

COMPLIANCE REQUIREMENTS/RESPONSIBILITIES:

As an employee of CIBC, the incumbent must comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls.

WORKING CONDITIONS:

This role operates within a normal office environment with little exposure to adverse working conditions.

Privacy:

By proceeding with the creation of a profile and submitting an application in response to this job posting, you acknowledge and agree that your personal data will be collected, used, retained and disclosed by CIBC India and its affiliates, as described in the Candidate Privacy Statement.