Role Overview
Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges. Implement and optimize RAG systems for production use cases. Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
What You Will Do
Design and build cloud-native data, LLM-based, and agentic AI solutions. Implement and optimize RAG systems. Build and maintain strong relationships with key customer stakeholders.
Why It Might Be a Fit
You will own the technical direction of client engagements from discovery through delivery. You will write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.
Requirements
- Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
- 7+ years building and running production systems
- Hands-on experience building production LLM-based applications and agentic workflows
- Experience in integrating AI/ML components into solutions
- Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
- Experience building and optimizing RAG systems
- Understanding of LLM evaluation techniques and quality assurance approaches
- Experience deploying and maintaining AI/ML models in production environments
- Python skills: OOP, design patterns, clean architecture, and performance optimization
- Experience building RESTful APIs with FastAPI, Django REST, or Flask
- Experience in making and defending architectural trade-off decisions
- Experience with Docker and Kubernetes
- Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
- Understanding of CI/CD practices applied to ML and AI pipelines
- Familiarity with model monitoring, observability, and drift detection
Benefits
- Opportunity to work with cutting-edge AI and cloud solutions
- Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
- Career growth: a clear path toward SA or beyond; we actively develop our engineers
- Access to the latest AI tools and premium subscriptions
- Long-term B2B collaboration
- Remote with flexible hours
- Private medical insurance or a budget for your medical needs
- Paid sick leave, vacation, and public holidays
- Equipment and all the tech you need for comfortable, productive work
Originally posted on Himalayas