Software Engineer

Overview

Are you a Python expert who has built scalable software solutions? Do you know how to handle heavy volumes of data and process the responses as APIs? Have you worked in scaling AI models or across AI solutions?

Lexsi.ai stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.

As a Software Development Engineer on our backend platform team, you will be at the heart of our engineering efforts. This is not a typical entry-level role where you'll be fixing minor bugs. From day one, you will be contributing to the core systems that make our platform scalable, resilient, and intelligent. You will work alongside senior engineers to design, build, and deploy microservices and components that handle model routing, job orchestration, and multi-cloud operations. If you are a builder who is passionate about solving complex problems and want to make a significant impact in the world of AI and distributed systems, this is the perfect opportunity for you.

We are looking for Software Engineers who are -

• Expert in Python and have built scalable systems.
• Experience with Puppet, Chef, Ansible, Amazon Web Services (AWS), Git, Graphite, and related tools for large-scale systems management is required. Should be able to write Python, bash, c/c++, and Perl scripts.
• Good understanding of architecture and tradeoffs in distributed computing environments.
• Experience working with Linux system monitoring and analysis.
• Should be hands-on cloud services, such as AWS EC, ELB, S3 bucket, auto scaling, etc.
• Better understanding of the nginx/Apache web server as a reverse proxy, load balancer, and caching. H/w, S/w load balancer.
• Experience with web infrastructure, distributed systems, or component-oriented software engineering
• Exposure to containerization (Docker) and a basic understanding of what Kubernetes is.
• An interest in the field of Machine Learning or Artificial Intelligence (no professional experience required, but a passion to learn is a huge plus).

What you'll be doing:

• Develop and Maintain Backend Services: Design, code, test, and deploy robust, high-performance microservices using Python.
• Contribute to Core Platform Features: Participate in the development of key platform components, such as our dynamic model routing gateways, asynchronous job schedulers, and cross-cloud data replication services.
• Collaborate on System Design: Work closely with senior engineers and architects to contribute to design discussions, review code, and learn to build for scale and fault tolerance.
• Write Clean, Testable Code: Uphold a high standard of code quality, including writing comprehensive unit and integration tests to ensure the reliability of our platform.
• Embrace Scalability Challenges: Learn and apply principles of distributed systems, concurrency, and performance optimization to help our platform handle ever-increasing loads.
• Troubleshoot and Debug: Investigate and resolve issues in our development, testing, and production environments, learning to identify root causes in complex systems.

Desired Skills:

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Strong programming skills in Python and a solid understanding of its standard library and common frameworks (like Flask or FastAPI).
• Solid foundation in core computer science concepts, including data structures, algorithms, and object-oriented design.
• A genuine curiosity and a strong desire to learn about distributed systems, cloud computing (AWS, GCP, etc.), and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and the ability to break down complex problems into manageable parts.
• Very good knowledge in NoSQL - MongoDB sharding, clustering , replication , security.
• Knowledge of the different kinds of databases – relational, document, key/value, graph
• Demonstrated open-source contribution
• Hands-on experience in working in one or major MLE processes like data prep, model serving, compute optimizations, etc.
• Knowledge of TCP/IP and network programming or developing/designing large software systems
• Any prior experience working with high-scale and high-volume systems or platforms is a plus.

What’ll you get:

• Highly competitive and meaningful compensation package
• One of the best health care plans that covers not only you but also your family
• A great team
• Micro-entrepreneurial tasks and responsibilities.
• Career development and leadership opportunities

Next steps and interview process:

1. After submitting the application, we will send a take home assginment.
2. Post that there is Technical Round and HR Round. That's it.

We don't like any BS. So, we can move as quickly as you can.