About Us

At Ailevate, we believe AI shoulddo the work—not create more of it. Our platform powers fully autonomous AI agents that operate behind the scenes, eliminating friction, resolving tasks in real time, and recovering revenue with zero manual intervention.

Our roots are in healthcare, where revenue cycle challenges are complex and constant. Ailevate’s AI agents are purpose-built to tackle these pain points—from denial resolution to claims optimization—helping providers recover more revenue, faster, with less human effort.

Built for businesses that demand more from their technology, Ailevate delivers secure, on-prem, and cost-effective AI solutions that quietly transform operations. No hand-holding. Just results. From denial management in healthcare to operational workflows across industries, we’re making AI as effortless—and powerful—as it should be.

Your Role

As aSenior Software Engineer(Python)on theAgentic 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.

In this role, you will:

Design and implement asynchronous, high-throughputFastAPI 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 valuessuch asplatform thinking,clean code,testability, andobservability, 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.

Technologies you'll work with includeFastAPI,Python,asynchronous programming (async/await),Docker, andKubernetes—with a focus on performance, scalability, and reliability in production environments.

This is ahands-on, high-impact role ideal for engineers who thrive in fast-moving, AI-driven environments and want to influence the architecture and engineering culture of a rapidly growing platform.

Your Responsibilities

Develop, optimize, and scale backend services using Python and FastAPI.

Design and implement microservices for LLM-powered AI Agents, focusing on real-time processing, inference, and decision-making.

Integrate LLM APIs (OpenAI, Anthropic, vLLM, etc.) to power AI-driven insights and automation.

Enhance our Retrieval-Augmented Generation (RAG) pipeline, enabling AI Agents to retrieve, process, and synthesize knowledge.

Deploy and manage AI workloads on Kubernetes, ensuring scalability and high availability.

Collaborate with infrastructure and DevOps teams to streamline CI/CD pipelines and cloud-based deployments.

Write well-structured, maintainable, and testable code following best practices.

Mentor junior engineers and contribute to technical decision-making.

Required Skills & Experience

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-Have

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.

Why Join Us?

We’re not just building software—we’re building a new way of working. At Ailevate, you’ll join a team of engineers, product leaders, and go-to-market pros who are all working toward one shared mission: making AI autonomous, accessible, and impactful.

Whether you’re developing new features, scaling adoption, or shaping our brand—you’ll be part of a high-impact team focused on solving big problems with bold ideas. We move fast, support each other, and stay laser-focused on results.

What You’ll Get

Fully remote role—work from wherever you do your best work

Early-stage startup environment where your impact is immediate

Competitive salary andearly 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

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