Senior Software Engineer - Backend - Python - Agentic Platform

About the position

As a Senior Software Engineer (Python) on the Agentic Platform team at Ailevate, you will build and maintain production-grade FastAPI microservices that form the core infrastructure powering our AI agent ecosystem. These services are responsible for real-time agent execution, seamless interaction with external applications, and orchestration of complex AI workflows. You’ll contribute directly to the evolution of our agentic framework, ensuring that all systems are robust, observable, and built with clean, maintainable code. Your work will influence not just functionality, but the platform-wide standards that drive consistency, performance, and developer velocity.

Responsibilities

• Design and implement asynchronous, high-throughput FastAPI microservices that enable intelligent agent behavior, workflow management, and transactional integration with external platforms.
• Build reusable agent execution components that support chaining, data transformation, and deterministic and non-deterministic task flows.
• Champion engineering values such as platform thinking, clean code, testability, and observability, ensuring services are enterprise-grade from day one.
• Collaborate tightly with the platform architect and adjacent engineering teams to support transactional requirements and system interoperability.
• Mentor junior engineers through code reviews, pairing sessions, and architectural guidance.
• Write technical documentation for core system behavior, APIs, and integration patterns to support onboarding and long-term maintainability.

Requirements

• 5+ years of Python software development experience.
• Strong experience with FastAPI for building scalable APIs.
• Experience with LLMs, NLP, and AI-driven applications.
• Experience integrating LLM APIs such as OpenAI, Anthropic, or vLLM.
• Proficiency in microservices architecture and distributed systems.
• Experience with SQL and NoSQL databases such as Elasticsearch or PostgreSQL.
• Cloud experience with Azure, AWS, or GCP, along with CI/CD automation.
• Proficiency in containerization with Docker and orchestration using Kubernetes.
• Strong problem-solving and debugging skills with a focus on performance optimization.

Nice-to-haves

• Experience fine-tuning LLMs and optimizing inference workloads.
• Familiarity with Neo4j, graph databases, or knowledge graphs.
• Contributions to open-source AI or LLM projects.
• Experience with event-driven architectures using RabbitMQ or similar message brokers.
• Experience in healthcare, fintech, or other highly regulated industries.

Benefits

• Fully remote role—work from wherever you do your best work.
• Early-stage startup environment where your impact is immediate.
• Competitive salary and early equity ownership.
• Collaborative, execution-driven culture across teams.
• Access to AI technologies and projects that are reshaping industries.
• Full benefits, including medical, dental, vision, 401(k), PTO, and more.