AI Engineer

Overview

Remote
$180,000 - $250,000
Full Time
No Travel Required

Skills

Capital Market
Generative Artificial Intelligence (AI)
LangChain
Machine Learning (ML)
Artificial Intelligence
Finance
Fixed Income
LlamaIndex
Machine Learning Operations (ML Ops)
Python
Trading

Job Details

Generative AI Engineer FinTech (Fixed-Income Trading)

About the team
We re a fast-growing fintech building intelligent, easy-to-use electronic solutions for the fixed-income markets. We iterate quickly with clients, innovate at scale, and value curiosity, craft, collaboration, and drive.

The opportunity
We re hiring an innovative Generative AI Engineer to lead end-to-end design, development, and deployment of GenAI applications across the organization. You ll leverage proprietary datasets to build both internal productivity tools and sophisticated client-facing applications that advance trading analytics and user experience. This is a greenfield, high-impact role.

Key Responsibilities

Strategic AI application development

  • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring.

  • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation).

Architecture, data, and models

  • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering.

  • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls.

Product partnership

  • Work closely with product, design, engineering, and domain experts to translate trading workflows into simple, trustworthy experiences.

  • Define success metrics; run offline/online evaluations and A/B tests; instrument telemetry for continuous improvement.

Platform & MLOps

  • Productionize services using modern MLOps (Docker/K8s, CI/CD), observability, model/data governance, and access controls.

  • Uphold privacy, security, and regulatory requirements for financial data.

Leadership & best practices

  • Establish GenAI patterns, libraries, and guidelines; mentor peers and elevate engineering quality.

Qualifications

  • 5+ years building production software/ML systems, including 2+ with LLMs/GenAI.

  • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/Google Cloud Platform).

  • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production.

  • Strength in APIs, distributed systems, and MLOps (K8s, CI/CD, monitoring).

  • Excellent collaboration, communication, and product sense; ability to ship iteratively.

  • Nice to have: fixed-income/capital markets domain knowledge; experience on 0 1 products.

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