📋 Job Details at a Glance 📍 Location India 🏢 Company HSBC 👥 Experience 0-2 years 🎓 Qualification Hands-on with Python, APIs, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python APIs AI LLM agents LangGraph LangChain AutoGen CrewAI AI Engineer- Traded Risk at HSBC — Full Details & How to Apply HSBC is hiring for an AI Engineer- Traded Risk role in India , where candidates will design and implement AI workflows using LangChain and AutoGen . This position offers hands-on development experience with real-world trading risk management systems. This AI Engineer- Traded Risk role focuses on building AI-driven workflows that improve the efficiency of risk assessment in trading operations. The role involves implementing agent-based systems using LangGraph , CrewAI , and AutoGen , with direct application in risk monitoring and decision support. These tools enable automation of complex trading risk logic, reducing manual intervention and improving response times. HSBC recruitment for this role emphasizes technical execution in AI workflows. The position is part of HSBC ’s technology team in India, focused on advancing risk management through AI. The job requires demonstrated shipping experience and hands-on work with Python , APIs , and AI/ LLM agents . The company operates in 64 countries and territories, with a strong presence in India’s financial technology sector. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have hands-on with Python, APIs, AI / LLM agents and possess relevant technical qualification and demonstrated shipping experience . The role requires 0-2 years of experience . The salary is Not Disclosed . Candidates will gain practical experience with Python , APIs , AI , LLM agents , LangGraph , LangChain , and AutoGen . This role provides foundational experience in AI-driven financial systems, positioning graduates for advancement into AI and risk engineering roles in banking technology. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for AI Engineer- Traded Risk jobs or explore HSBC recruitment in India jobs to find similar opportunities. Job Role & Responsibilities The AI Engineer- Traded Risk role at HSBC focuses on building and deploying AI-driven risk monitoring systems using LangChain and LangGraph to automate real-time trading risk assessments. This role directly supports TRMMC by implementing agent-based workflows that reduce latency in risk detection and improve decision accuracy through LLM agents . Design single-agent and multi-agent workflows using LangGraph to model risk evaluation sequences with state transitions and conditional logic. Implement end-to-end agentic AI applications using LangChain to parse market data and generate risk reports via API integrations. Integrate external trading systems through APIs to feed real-time market data into AI models for risk scoring and anomaly detection. Monitor performance metrics such as F1-score, precision, recall, and response time to evaluate the efficiency of AI risk agents. Maintain existing Python -based codebases with strict adherence to Python code quality standards and error handling protocols. Document workflow designs and performance improvements using structured documentation to support team onboarding and audit trails. Resolve production issues in AutoGen and CrewAI agent systems by debugging agent communication failures and memory leaks. Deploy AI applications in staging environments using Python scripts and containerized workflows to validate risk logic before production rollout. This role demands direct ownership of AI workflow design and execution, where every LLM agent deployment impacts real-time risk detection and system reliability in live trading environments. Required Skills & Technical Competencies The role requires a strong foundation in Python , AI , and agent-based frameworks to build and maintain AI applications that process financial data and detect trading risks. Candidates must demonstrate hands-on experience with LangChain , LangGraph , AutoGen , and CrewAI in practical projects. Technical Skills Python — entry — used to implement core AI logic, data pipelines, and agent execution loops in LangChain and LangGraph workflows. APIs — entry — used to connect AI applications with trading systems, retrieving market data and sending risk alerts via REST or GraphQL endpoints. AI — entry — foundational for understanding risk modeling, decision trees, and probabilistic reasoning in financial systems. LangGraph — entry — used to design stateful, multi-step agent workflows that manage risk evaluation sequences with defined transitions. LangChain — entry — used to build prompt engineering pipelines that extract risk indicators from unstructured market data. AutoGen — entry — used to develop multi-agent systems that coordinate between risk analysts and trading bots for real-time feedback. CrewAI — entry — used to orchestrate agent teams that perform risk assessment, validation, and reporting in parallel tasks. When showcasing these skills, emphasize specific projects where you used LangGraph or LangChain to build a working AI agent, and include metrics like accuracy or latency improvements in your resume. Eligibility Criteria This role is designed for freshers and early-career candidates with a technical qualification in computer science, AI, or related fields, who have hands-on experience with Python and AI tools. Must hold a relevant technical qualification such as a B.Tech, B.Sc. in Computer Science, or equivalent with a focus on AI or programming. Must be from eligible batches: 2023, 2024, 2025, or 2026 . Experience requirement is 0–2 years , with a focus on practical, project-based learning. CGPA or academic performance is not specified, but a solid foundation in Python and AI is expected. Must have a portfolio demonstrating hands-on work with LangChain , LangGraph , or AutoGen in AI applications. Documentation & Portfolio Requirements Your resume must include a clear section on Python projects, with at least one example showing implementation of an AI agent using LangChain or LangGraph . Include code snippets , API integration details, and performance metrics such as response time or accuracy. Focus on a project where you built a multi-agent workflow using LangGraph or CrewAI to process financial data and generate risk reports — this is the only type of experience that will be evaluated in the screening process. Salary for AI Engineer- Traded Risk at HSBC 💰 Compensation Not Disclosed The advertised compensation for the AI Engineer- Traded Risk role at HSBC is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Engineer- Traded Risk Upskilling with the right resources significantly enhances your chances of being selected for this specific role by showcasing relevant expertise and knowledge. Recommended Courses & Resources Python — Essential for developing AI applications and automating tasks in this role. APIs — Crucial for integrating various systems and enhancing functionality in AI projects. LangChain — Important for building applications that leverage language models effectively. KodNest — Provides hands-on experience with AI technologies relevant to the role. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python — Ensure to include relevant projects. ❌ Using a generic resume — Tailor it to the specific responsibilities outlined in the job description. ❌ Listing technologies like LangChain without details — Provide context on their application in past projects. ❌ Ignoring the experience requirement — Verify that you meet the 0-2 years of experience specified. ❌ Adding unrelated technologies — Focus on relevant skills to avoid ATS penalties. ❌ Failing to verify the official Apply URL — Always check the link before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for AI Engineer- Traded Risk Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role, as many companies use automated systems to filter applications. ATS Keywords to Include Python APIs AI LLM agents LangGraph LangChain AutoGen CrewAI Agentic AI traded risk end-to-end development rapid prototyping Resume Tips for This Role Highlight your proficiency in Python prominently, as it is a core requirement for the role. Emphasize experience with AI technologies and frameworks like LangGraph and LangChain . Showcase a project that involved developing AI applications or working with APIs . Use exact keywords from the job description to enhance ATS alignment without overloading on keywords. Avoid adding unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated technologies or unsupported claims in your resume, as they may detract from your qualifications for this role. How to Apply for AI Engineer- Traded Risk at HSBC Apply Now — HSBC Open the official apply URL and confirm the job title and company match the position: AI Engineer- Traded Risk at HSBC . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience for the AI Engineer- Traded Risk role. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — HSBC NexisGrow.com does not charge any fees for job applications. HSBC HSBC is a global leader in financial services operating in India. This AI Engineer- Traded Risk role is based in India and requires onsite work. The company operates in the technology industry, focusing on risk management through AI innovation. The role involves designing and implementing AI workflows using tools like LangChain , LangGraph , and AutoGen . It includes rapid prototyping and end-to-end development of agentic AI applications across TRMMC teams. This role supports HSBC ’s mission to enable businesses and economies to thrive through advanced risk management practices. Early-career professionals gain hands-on exposure to AI tools such as LLM agents and multi-agent systems, building practical skills in AI-driven risk applications. Company Details Industry Technology Location India Connect With Us Careers Apply Now Website 🔗 career2.successfactors.eu Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification from the eligible batches of 2023 to 2026 and 0-2 years of experience can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Python, APIs, AI, and familiarity with tools like LangGraph and LangChain. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and AI fundamentals. 2. Familiarize yourself with LangGraph and LangChain. 3. Prepare examples of relevant projects. 4. Understand the role of AI in trading risk. 5. Be ready to discuss your problem-solving approach. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to AI technologies, risk management practices, and collaboration with various teams in the financial sector. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your skills in Python, experience with AI technologies, and any relevant projects or internships. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with teams within the Traded Risk Management and Monitoring Center. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers are welcome to apply as the experience requirement is 0-2 years. 🔗 Explore More on NexisGrow More jobs in India Browse all Tech jobs Latest Fresher jobs More jobs at HSBC Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com