# AI Engineer- Traded Risk

**Company**: Risk & Compliance
**Location**: Bangalore, Karnataka
**Work arrangement**: onsite
**Experience**: senior
**Job type**: contract
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612258964?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8f3bb23c-142

## Description

We are currently seeking an experienced professional to join our team in the role of AI Engineer- Traded Risk (FTC role).

In this role, you will:

- Design and implement single-agent and simple multi-agent workflows using frameworks such as LangGraph, LangChain, AutoGen, CrewAI, etc.

- Lead the end-to-end development of Agentic AI applications, from ideation and data exploration to rapid prototyping and initial deployment.

- Build and maintain tool integrations (function calling / MCP servers) connecting LLM agents to internal risk systems.

- Implement RAG (retrieval-augmented generation) pipelines over risk policy documents, regulatory guidance, and historical incident logs to ground agent outputs in verified sources.

- Write and iterate on prompt templates, system instructions, and few-shot examples, and maintain a versioned prompt library.

- Build evaluation harnesses to test agent accuracy, hallucination rate, and task completion, using both automated metrics and structured human review.

- Implement guardrails: input/output validation, PII and confidential-data filtering, approval checkpoints for any agent action with financial or regulatory consequence.

- Support human-in-the-loop design , ensuring every agentic workflow has a clear escalation path when confidence is low or an anomaly is detected.

- Monitor deployed agents in production: track cost (token usage), latency, failure modes, and drift in output quality over time.

- Document workflows, decision logic, and control points clearly enough for audit and model-risk review.

- Collaborate with market risk SMEs to translate manual, judgment-heavy processes into structured agent tasks.

To be successful you will:

- Have working proficiency in Python, including API integration, async programming, and data manipulation (pandas/numpy).

- Have hands-on experience building agentic applications , this can come from personal projects, hackathons, internships, or professional work.

- Have practical exposure to at least one agent orchestration framework (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel) or direct experience with the Claude/OpenAI/Gemini APIs including function calling and tool use.

- Understand prompt engineering fundamentals: system prompts, chain-of-thought/structured reasoning prompts, few-shot examples, output formatting (JSON schemas, XML tags).

- Be familiar with RAG architectures: embeddings, vector databases (e.g., Pinecone, Weaviate, FAISS, pgvector), chunking strategies, and retrieval evaluation.

- Have basic understanding of LLM evaluation techniques , golden datasets, LLM-as-judge patterns, regression testing for prompt changes.

- Have foundational understanding of market risk concepts , VaR, Greeks, stress testing, limit frameworks , gained through coursework, self-study, or prior exposure.

- Hold FRM Part I/II, CQF, or equivalent certification in progress or completed.

- Have experience with MCP (Model Context Protocol) server development for tool integration.

- Have exposure to model risk management (MRM) or SR 11-7-style validation frameworks.

- Have prior experience in a regulated environment (banking, insurance, asset management).

- Have a background in software engineering, data engineering, or quant development, given the technical build nature of this role.

## Skills

### Required
- Python
- API integration
- async programming
- data manipulation
- LangGraph
- LangChain
- AutoGen
- CrewAI
- prompt engineering
- RAG architectures
- LLM evaluation techniques
- market risk concepts
- MCP server development
- model risk management

### Nice to have
- FRM Part I/II
- CQF
- regulated environment
- software engineering
- data engineering
- quant development

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612258964?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)