Lead Technology GenAI Platform

Battle Tested; Jersey City (NJ); On-site; USD 190,000 - 230,000; Full time

Job summary

Battle Tested in Jersey City is seeking a hands-on Feature Lead to design, build, and deliver an enterprise Generative AI platform for Sales & Trading, Quantitative Strategies, Research, and Operations. You will own feature delivery, guide engineers, and translate business requirements into scalable platform solutions.

This role combines software engineering, architecture, and technical leadership. You will work with proprietary and open-source LLMs, large datasets, and modern distributed

Qualifications

• Experience designing multi-tier, microservices-based platforms.
• Hands-on development of production APIs with FastAPI.
• Strong knowledge of relational and NoSQL databases (Oracle, MySQL, MongoDB).
• Experience delivering AI/GenAI or data analytics projects is a plus.
• Ability to mentor engineers and guide architecture decisions.

Responsibilities

• Own end-to-end feature delivery from requirements to deployment.
• Design multi-tier microservices architectures.
• Build and optimize high-performance APIs using Python and FastAPI.
• Lead CI/CD pipelines and automate development lifecycle.
• Mentor engineers and guide architecture decisions.
• Collaborate with Product Owners to define acceptance criteria.
• Identify and resolve performance bottlenecks.
• Manage technical debt while ensuring platform quality.

Skills

Leadership

Mentoring

Stakeholder communication

Estimation & planning

Problem solving

Education

Bachelor’s degree or equivalent

Tools

Python

FastAPI

Unix/Linux

CI/CD

Redis

OpenTelemetry

Oracle

MySQL

MongoDB

TensorFlow

PyTorch

Job description

Build the platform that brings generative AI into global financial markets.

We are seeking a hands-on Feature Lead to help design, build, and deliver an enterprise Generative AI platform supporting Sales & Trading, Quantitative Strategies, Research, and Operations.

This role combines software engineering, architecture, and technical leadership. You will develop production-ready capabilities, guide engineers, and translate business requirements into reusable, scalable platform solutions. The platform will support a growing portfolio of use cases using proprietary and open-source large language models and large structured and unstructured datasets.

This is an individual contributor role with team leadership responsibilities and substantial hands-on development.

What You’ll Do

• Own end-to-end feature delivery, from requirements and architecture through development, testing, deployment, and ongoing improvement.
• Design and implement multi-tier, microservices-based application architectures.
• Build, optimize, and troubleshoot high-performance APIs using Python and FastAPI.
• Implement containerization, distributed caching, and message queues to support scalable, reliable systems.
• Integrate business use cases into shared platform capabilities that teams can reuse and extend.
• Work with Product Owners and business stakeholders to clarify requirements, prioritize work, and define acceptance criteria.
• Break complex initiatives into actionable development tasks, estimates, and delivery plans.
• Establish and maintain CI/CD pipelines for automated testing and deployment.
• Automate development lifecycle activities to improve delivery speed and reduce manual effort.
• Lead code reviews, guide architecture decisions, and apply enterprise engineering standards.
• Mentor engineers in solution design, troubleshooting, estimation, and development practices.
• Identify performance bottlenecks and implement software enhancements and infrastructure upgrades.
• Manage technical debt while maintaining platform quality and supporting continued growth.

Required Qualifications

Software Engineering and Architecture

• Proficiency in Unix/Linux scripting.
• Experience designing and implementing multi-tier applications and microservices-based platforms.
• Experience developing and optimizing APIs using FastAPI.
• Experience across the full software development lifecycle.

Data and Databases

• Strong knowledge of relational databases, including Oracle and MySQL.
• Strong knowledge of NoSQL databases, including MongoDB.
• Experience processing and integrating large structured and unstructured datasets.

Front-End Development

Platform and Distributed Systems

• Experience with containerization technologies, distributed caching, and message queues.
• Experience implementing and automating CI/CD pipelines.

Technical Leadership and Collaboration

• Experience guiding solution design and architecture decisions.
• Ability to estimate work, decompose complex requirements, and guide execution.
• Experience conducting code reviews and mentoring development teams.
• Ability to balance feature delivery, engineering quality, and technical debt.
• Strong stakeholder communication, critical thinking, and problem-solving skills.

Preferred Qualifications

• Experience delivering data analytics, AI, or GenAI solutions.
• Familiarity with TensorFlow or PyTorch.
• Knowledge of large language model fine-tuning, Retrieval-Augmented Generation (RAG), and tools for agentic AI solutions.
• Experience with asynchronous programming, Redis or similar distributed caching technologies, and OpenTelemetry.
• Knowledge of authentication and authorization mechanisms.
• Experience building enterprise platforms in financial services, capital markets, or similarly complex environments.

What Success Looks Like in the First 90–120 Days

• Feature delivery: Deliver agreed-upon platform features and business use case integrations through testing, acceptance, and deployment.
• Scalability and performance: Establish performance baselines, identify bottlenecks, and implement improvements against agreed API and platform performance targets.
• Engineering efficiency: Implement or improve automated testing and deployment pipelines, with measurable reductions in manual steps.
• Engineering quality: Meet documented acceptance criteria, apply coding and architecture standards, and maintain a prioritized technical debt backlog.
• Team execution: Establish clear work breakdowns, estimates, code review practices, and technical guidance that support predictable delivery.

Education

Bachelor’s degree or equivalent work experience.