Security & Guardrails: Design backend-level guardrails to prevent prompt injection and ensure that autonomous agents operate within strictly defined permission boundaries.
Leadership & Mentoring: Set the standard for Python coding excellence, conduct deep architectural reviews, and mentor engineers on the nuances of AI-integrated backend development.
Technical Requirements
Python Mastery: 10+ years of professional backend experience, with expert-level knowledge of Asynchronous Programming (Asyncio), Pydantic (v2), and Pytest.
AI Frameworks: Hands-on experience building production-grade applications with LangChain or similar orchestration libraries.
Concurrency & Task Management: Deep experience with message brokers and task queues (e.g., Redis, RabbitMQ, or Celery) to manage long-running agentic tasks.
Database Expertise: Proficiency in PostgreSQL (relational) and at least one Vector Database. Experience in optimizing complex queries for AI retrieval.
Cloud Infrastructure: Strong knowledge of Docker, Kubernetes, and serverless architectures within AWS, Azure, or GCP.
Design Patterns: Mastery of microservices architecture, event-driven design, and API versioning.
Preferred Qualifications
Experience with LLM fine-tuning or local model deployment (vLLM, Ollama).
Knowledge of Distributed Systems and handling the "cold start" or latency issues associated with large-scale AI models.
Background in Cybersecurity, specifically regarding autonomous systems and API security.
Compensation, Benefits and Duration
Minimum Compensation: USD 46,000
Maximum Compensation: USD 162,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
