Junior AI Engineer at eClerx Career Site

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

120000.0

Posted On

24 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Generative AI, LLMs, RAG Pipelines, Agentic Workflows, API Development, SQL, Git, Prompt Engineering, LangChain, LangGraph, PyTorch, TensorFlow, FastAPI, React, Next.js

Industry

IT Services and IT Consulting

Description

Junior AI Engineer Location: New York, US Type: Full-time Department: Financial Markets Job Summary eClerx 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 About eClerx eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results. The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA. For more information, visit www.eclerx.com [http://www.eclerx.com/] You can also find us on: https://www.linkedin.com/company/eclerx/ [https://www.linkedin.com/company/eclerx/] https://www.indeed.com/cmp/Eclerx/about [https://www.indeed.com/cmp/Eclerx/about] https://www.glassdoor.com/eClerx [https://www.glassdoor.com/Overview/Working-at-eClerx-EI_IE230253.11,17.htm] eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here [https://eclerx.com/privacy-policy/]

Responsibilities

Develop agentic AI workflows and GenAI features to streamline financial market operations and improve control effectiveness. Build production-grade integrations, RAG pipelines, and backend services while ensuring reliability and traceability.