Title: AI Software Engineer
Location: Remote
Duration: 9 months Contract
Must Have
1-3 years’ experience in Java 17 or higher
1 or more modern programming language (Java/Go/Python/Ruby)
2–5 years of experience in AI/ML engineering, data engineering, or software engineering roles
Nice To Have
AWS
Job Summary
We are seeking a highly motivated and technically skilled AI Engineer to join our growing team.
Designs and implements technology and software solutions as a member of an agile squad. Being assigned to an agile squad means this role also participates in all agile ceremonies driving activities from architecture and design to delivery. Models software development best practices and leads communities of practice to continuously refine and document standards and best practices. This role also designs, builds, and enables AI-powered development tools, intelligent automations, and agentic workflows that improve engineering productivity, software quality, and operational effectiveness while adhering to enterprise security, risk, and governance standards.
Duties and Responsibilities
- Design, build, and maintain agentic workflows and autonomous systems
- Develop and integrate AI models into production-grade applications
- Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions
- Implement orchestration logic for multi-agent systems and task automation
- Write clean, scalable, and maintainable code in support of AI initiatives
- Monitor and optimize the performance of AI systems in production
- Stay current with advancements in AI, LLMs, and agentic architectures
Requirements and Qualifications
- Strong software development skills with proficiency in Python or similar languages
- Experience designing and building agentic workflows or multi-agent systems
- Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
- Solid understanding of AI/ML concepts, including LLMs and prompt engineering
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes)
- Knowledge of APIs, microservices, and system integration
- Excellent problem-solving and communication skills
- Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience)