Back to SearchSenior AI/ML Engineer (AWS, Docker)
Remote in Georgia, & 4 others
AI Solution Engineering
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We are seeking a Senior AI/ML Engineer to join our AI Engineering team. This is not an academic research position; it's a software engineering role with a specialized focus on Generative AI systems and infrastructure. We need engineers who can architect, build, and deploy production-ready GenAI solutions, including multi-agent systems, prompt marketplaces, and LLM-powered applications.
If you're passionate about turning cutting-edge generative AI concepts into robust, scalable enterprise solutions, this role is for you.
Responsibilities
- Design and implement multi-agent systems that leverage multiple LLMs and specialized tools
- Develop prompt engineering frameworks and infrastructure for enterprise-scale deployment
- Build and maintain prompt marketplaces/libraries for reusable AI components across the organization
- Architect and deploy GenAI pipelines and workflows that scale in production environments
- Containerize GenAI components and integrate them into orchestration systems
- Design and develop APIs and endpoints for LLM services using frameworks like FastAPI
- Leverage AWS services including Bedrock, SageMaker, and ECS, Fargate, EC2, and S3
- Implement CI/CD practices for GenAI applications using GitHub Actions, Terraform, and Docker
- Translate high-level business requirements into enterprise-grade GenAI engineering solutions
Requirements
- Bachelor's degree in Software Engineering, Computer Science, or a related field
- 3+ years of experience in software engineering, AI/ML product engineering, or related fields
- Proficiency in Python programming
- Background in GenAI technologies including LLMs, prompt engineering, and multi-agent architectures
- Hands-on experience with AWS AI services (Bedrock, SageMaker, etc.) and cloud platforms
- Skills in developing APIs for AI services (e.g., FastAPI)
- Proven expertise in deployment and scaling of AI/ML models
- Capability to understand high-level requirements and translate them into robust technical solutions
- Prompt engineering expertise: understanding how to design, test, and optimize prompts for various use cases
- System design thinking to architect complex multi-agent systems that combine multiple AI models
- Strong problem-solving abilities to navigate ambiguity in the rapidly evolving GenAI space
- Excellent communication skills to explain technical trade-offs and GenAI concepts clearly
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Nice to have
- Familiarity with RAG architectures
- Understanding of AgentCore and Strands
- Knowledge of LangChain/LangGraph
- Cloud-native development mindset focused on scale, reliability, and maintainability