Responsibilities
- Design and implement end-to-end solutions, from prototype to production deployment.
- Collaborate with Data Scientists, Developers, and Analysts across the organization.
- Ensure production-grade quality in every deliverable — performance, security, maintainability.
- Build and optimize solutions leveraging LLMs, machine learning, and Vector DBs.
- Set up and manage infrastructure on Azure and AWS, including private endpoints and VPN integrations.
- Contribute to DevOps workflows to streamline CI/CD, monitoring, and deployment.
Requirements
- 6+ years of total experience in software development (significant Python expertise).
- Business-oriented mindset.
- Good DevOps knowledge.
- Solid experience working with cloud platforms (Azure, AWS).
- Familiarity with LLMs and ML workflows in production environments.
- Experience with Vector DBs and secure network integrations (VPNs, private endpoints).
- Excellent communication skills and a results-oriented approach to problem-solving.
Benefits
- Team bonding activities — we foster team cohesion through various initiatives and informal gatherings.
- Flexible schedule.
- Competitive salary.
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