Position Overview

Department: AI / ML

Role Summary

As a Senior Software Engineer on our AI Agent Platform team, you'll play a pivotal

role in architecting, building, and scaling our cutting-edge platform. You'll lead

technical initiatives, mentor junior engineers, and make significant contributions to

our platform's architecture and implementation. This is an exceptional opportunity for

an experienced engineer to shape the future of AI technology and make a lasting

impact on a growing product.

Key Responsibilities

 Design, develop, and deploy scalable microservices for our AI agent

platform

 Build and maintain robust APIs that power our platform's core functionality

 Implement complex features related to AI agent execution, memory

management, and knowledge bases

 Optimize system performance, reliability, and security

 Collaborate with product managers to translate business requirements into

technical solutions

 Troubleshoot and resolve complex technical challenges

 Contribute to technical documentation and knowledge sharing



Required Qualifications

 Bachelor's degree in Computer Science, Engineering, or related field (or

equivalent experience)

 5+ years of professional software development experience

 Strong in Python (most AI SDKs are Python-based).

 Strong proficiency in Python and experience with modern Python

frameworks (FastAPI, Django, Flask)

 Experience building and maintaining RESTful APIs, Monorepo and

Microservices architectures

 Proficiency with containerization technologies (Docker, Kubernetes)

 Experience with cloud platforms (AWS, or Azure)

 RESTful APIs, SDK interfaces, and CLI tools.

 Strong communication skills and ability to work effectively in a team

environment

Preferred Qualifications

 Experience with AI/ML technologies, large language models, or vector

databases

 Familiarity with frontend technologies (React.js, TypeScript, Next.js)

 Experience with infrastructure as code (Terraform, CloudFormation)

 Knowledge of message queues and event-driven architectures

 Experience with monitoring and observability tools (Prometheus, Grafana,

ELK stack)

 Background in startups or fast-paced environments

 Experience mentoring junior engineers

 Contributions to open-source projects

 Familiarity with monorepo management tools (Nx, Lerna, etc.)

Technical Skills

 Backend Development: Python, FastAPI, PostgreSQL, Redis, RabbitMQ

 Strong in Python (most AI Agent SDKs are Python-based).

 Strong proficiency in Python and experience with modern Python

frameworks (FastAPI, Django, Flask)

 AI/ML: Large Language Models (OpenAI, Anthropic), Vector Databases

(Pinecone), RAG, MCP

 Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD

 Architecture: Monorepo, Microservices, Event-driven systems, Distributed

systems

 Data: SQL and NoSQL databases, Data modeling, Caching strategies

 Monitoring: Observability, Logging, Metrics, Distributed