AI Software Engineer (Full-Stack Developer)

Quick Facts

• Role: AI Software Engineer (Full-Stack Developer)

• Focus: Modernization of operational data stores and trade data capture

• Work: Full stack development with real-time, event-driven data engineering and AI/ML integration

Description

Support the modernization of an operational data store and trade data capture processes by building real-time, event-driven data transfer solutions and backend services. Use AI/ML to accelerate data migration, improve reconciliation, and help users transition from legacy systems while contributing across the backend and frontend. Work with streaming platforms, CI/CD automation, and observability to ensure scalable and reliable performance.

Responsibilities

• Design and implement real-time data transfer methodologies into a modern OLTP data store

• Use AI technologies to improve data migration, reconciliation, and migration workflows

• Move data transfer from batch file transfers to event-driven architectures

• Develop and maintain backend services, including RESTful APIs

• Contribute to both backend and frontend development for end-to-end solutions

• Integrate AI/ML solutions into data pipelines and complex migrations

• Build streaming solutions with Apache Kafka (installation, configuration, and development)

• Apply real-time analytics and event-driven architecture principles to improve data availability and decision-making

• Use CI/CD and DevOps practices to automate build, test, and deployment

• Implement logging, monitoring, and observability for services and data pipelines

• Work with SQL/NoSQL databases, microservices, containers, and serverless frameworks

• Participate in design and code reviews; provide guidance to peers

• Communicate progress, risks, and technical decisions to stakeholders

Requirements

• 8–10 years of hands-on application development experience with modern technologies

• 8+ years using Java or Python

• 3+ years in backend service development with RESTful API design and implementation

• Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation

• Proven hands-on experience with Apache Kafka (installation, configuration, development)

• Strong knowledge of data streaming concepts and distributed systems

• Hands-on experience with APIs, microservices, event streaming, logging and monitoring, SQL/NoSQL, containers, serverless frameworks, and DevOps tooling

• CI/CD platform and DevOps tools/practices experience

• Bachelor’s degree in Computer Science or related field (or equivalent experience); advanced studies preferred

• Ability to work full-time on-site as required by the role

• Working knowledge of AI and migrating legacy systems using AI (1–3 years relevant experience)

• At least 8+ years of overall development experience in enterprise environments

• Strong communication and collaboration skills across architecture, security, networking, platform, and application teams

• Leadership and mentorship capability

• Eligible to work in the United States without sponsorship; direct W-2 employment through a vendor

Benefits

• Contract compensation: $80–$90/hr

• For full-time consultants: medical, dental, vision, and 401K contributions, plus PTO and sick leave (per applicable state/local requirements)

• Additional benefits as mandated by applicable state or localities