GEN AI Python Developer

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Early Applicant

Job Description

Key Responsibilities

Build and maintain backend services and APIs enabling secure access to LLM capabilities
Develop and optimize Python-based GenAI components, including prompt orchestration, output validation, and evaluation tooling
Integrate LLMs with enterprise systems, observability tooling, and security frameworks
Design, implement, and maintain CI/CD pipelines aligned with engineering standards (primarily Azure DevOps)
Collaborate with platform leads, architects, and SRE teams to ensure reliable production operations
Support benchmarking, evaluation, and experiment tracking for LLM performance and cost
Contribute to RAG (Retrieval-Augmented Generation) implementations and enterprise data access patterns
Help define API standards, reusable patterns, and technical documentation to support platform adoption
Troubleshoot and optimize performance across distributed systems and cloud services

Mandatory Skills & Experience

Strong backend engineering experience in production systems, primarily using Python
Exposure to Node.js and backend frameworks (e.g., Django, Spring)
Working knowledge of Generative AI technologies and Large Language Models
Experience evaluating LLM performance, prompt behavior, and handling prompt-related complexities
Strong DevOps mindset with CI/CD expertise and observability best practices (Azure DevOps preferred)
Experience working in regulated enterprise environments with strict security and compliance controls
Proven experience integrating AI services into real-world applications or workflows
Solid understanding of authentication, secret management, network boundaries, and model access governance

Preferred Skills