Introduction
In this contingent resource assignment, you may consult on complex initiatives with broad impact and large-scale planning for Software Engineering. You will review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. You will contribute to the resolution of complex and multi-faceted situations requiring a solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Required Skills & Qualifications
- 4 years of software engineering experience or equivalent through a combination of work experience, training, military service, or education
- 2 years of experience working with Generative AI, large language models, or foundation models
- 2 years of experience with either GCP, Azure, Kubernetes, or OpenShift
- 2 years of experience with Python
- 2 years of experience with REST API development and containerization technologies such as Docker and Kubernetes
- 2 years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows
- Prior work experience at client or in client's Industry
Applicants must be able to work directly for Artech on W2.
Preferred Skills & Qualifications
- Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments
- Experience working in highly regulated industries such as financial services
- Experience as a technical lead or architect, including mentoring senior engineers
- Experience integrating or contributing to open source AI or ML projects
- Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
- Strong communication and documentation skills to collaborate across engineering, product, and oversight teams
Day-to-Day Responsibilities
- Lead moderately complex initiatives and deliverables within technical engineering environments
- Contribute to large scale planning of strategies across Consumer Technology
- Design, code, test, debug, and document applications and services including upgrades and deployments
- Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches
- Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
- Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals
- Lead projects and act as an escalation point, providing direction to less experienced engineers
- Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
- Implement prompt engineering, retrieval augmented generation, fine-tuning, and agentic design patterns
- Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
- Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems
- Assist and mentor engineers in advanced software development and AI engineering practices
- Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems
Company Benefits & Culture
- Opportunity to work on advanced technologies that will impact millions of customers and shape the future of financial services
- Collaborative and innovative work environment
- Commitment to professional development and growth
For immediate consideration please click APPLY to begin the screening process with Alex.