Job DescriptionJunior AI EngineerLocation: New York, US
Type: Full-time
Department: Financial Markets
Job SummaryeClerx supports global financial institutions across trade support, financial crime compliance, client lifecycle, asset servicing, settlements & clearing, and data/document operations-often at large scale and under strict accuracy and compliance expectations.
You'll join a team building AI-powered tools (agentic workflows + GenAI capabilities) that help streamline operations, improve control effectiveness, and reduce manual effort-while remaining audit-ready and secure.
Responsibilities- Build agentic & GenAI tools for Financial Markets use cases
- Develop agentic AI workflows that can plan, execute, and validate steps across operational processes (e.g., exception triage, document checks, workflow routing, and knowledge-assisted decisioning).
- Build GenAI features such as summarization, classification, extraction, drafting, and Q&A for financial operations, with a focus on reliability and traceability.
- Create RAG pipelines to ground LLM outputs in approved knowledge sources (policies, SOPs, regulatory artifacts, client documentation, historical cases).
- Engineer production-grade integrations
- Implement tool-calling / function-calling patterns so agents can safely interact with internal systems (case management, CRMs/ERPs, data services, document repositories) and produce structured outputs.
- Build backend services and APIs that package AI capabilities into reusable components (internal tools and/or client-facing solutions).
- Write clean, maintainable code with strong engineering hygiene: unit tests, integration tests, code review participation, CI/CD readiness, and documentation.
- Quality, evaluation, and responsible deployment
- Design lightweight evaluation harnesses and test suites (golden datasets, regression tests, prompt/version tracking, and error analysis) to continuously improve accuracy and consistency.
- Implement guardrails and human-in-the-loop checkpoints where appropriate (especially for compliance-sensitive decisions).
- Collaborate with domain SMEs (ops, compliance, risk) to translate requirements into measurable system behavior and acceptance criteria.
Eligibility Requirements- 2+ years' experience building production software with strong hands-on coding ownership.
- Strong Python programming skills with comfort working in a shared professional codebase; familiarity with Java or TypeScript/JavaScript is a plus
- Foundational understanding of LLMs: attention mechanisms, tokenization, context windows, and inference trade-offs
- Practical experience with LLM/GenAI development: prompt and context design, structured outputs, tool calling, and agentic workflows
- Familiarity with common engineering practices: Git, REST APIs, logging basics, and data handling (JSON, SQL)
- Ability to work in ambiguous problem spaces and iterate quickly with feedback from product and ops stakeholders
- Preferred Qualifications
- Personal projects, open-source contributions, or research on ML or applied ML
- Experience building RAG systems: chunking strategies, embedding models, vector stores (e.g. FAISS), and retrieval evaluation
- Hands-on experience with agentic orchestration frameworks such as LangGraph or LangChain-style state machines, deployed into real APIs or services
- Exposure to financial services operations (capital markets ops, KYC/ client lifecycle, AML/compliance, reconciliations, exceptions processing).
- Experience with intelligent document processing pipelines: PDF parsing, schema mapping, and field validation
- Familiarity with deep learning frameworks (PyTorch, TensorFlow, or JAX) and strong applied ML fundamentals
- Knowledge of responsible AI concepts: privacy, explainability, and evaluation discipline
- Full-stack development experience (e.g. React, Next.js, FastAPI) is a meaningful bonus.
In the US, the target base salary for this role is $100,000-$120,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors
How to Apply- Click "Apply Now" to submit your resume through our career site
- Be sure to include any relevant experience that aligns with the role.
- Qualified candidates will be contacted by a member of our recruitment team for next steps
- Please include your github and LinkedIn profile
