Senior Software Engineer – AI

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ConnectWise

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1982

☁️ SaaS

🔒 Cybersecurity

🏢 Enterprise

💰 $585k Seed Round on 2019-06

SaaS • Cybersecurity • Enterprise

ConnectWise is a leading provider of software and services for managed service providers (MSPs), offering solutions designed to automate and streamline operations in IT management, cybersecurity, and business management. Their Asio platform is purpose-built for MSPs, delivering tools for unified monitoring and management, cybersecurity, data protection, and business management. ConnectWise provides services like professional services automation, remote monitoring and management (RMM), quote and proposal automation, IT documentation, and financial management among others. Through partnerships and integrations with top-rated vendors, ConnectWise enhances its offering for IT service management. The company also hosts industry events and provides community support to foster growth and innovation in the MSP sector.

📋 Description

• Design, develop, and deploy AI-driven applications using RAG and Agentic AI frameworks. • Builds/ Optimizes machine learning models • Build and maintain scalable data pipelines and services to support AI workflows. • Implement RESTful APIs using Python frameworks (e.g., FastAPI, Flask) for AI model integration. • Collaborate with product and engineering teams to translate business needs into AI solutions. • Debug and optimize AI systems across the stack to ensure performance and reliability. • Stay current with emerging AI tools, libraries, and research, and integrate them into projects. • Contribute to the development of internal AI standards, reusable components, and best practices. • Work with vector databases, embeddings, and LLMs (e.g., GPT-4, Claude, Mistral) for intelligent retrieval and reasoning. • Participate in code reviews, testing, and validation of AI components using frameworks like pytest or unittest. • Document technical designs, workflows, and research findings for internal knowledge sharing. • Adapt quickly to evolving technologies and business requirements in a fast-paced environment.

🎯 Requirements

• 2–5 years of experience in AI/ML engineering. • Familiarity with AI/ ML concepts and application development using Generative AI. • Strong Python programming skills with a solid foundation in OOP and software engineering principles. • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, Haystack, or Hugging Face. • Proficiency in CI/CD tools and workflows (e.g., Git, Docker, Jenkins, Airflow). • Exposure to cloud platforms (AWS, Azure, or GCP) and services like S3, SageMaker, or Vertex AI. • Understanding of vector databases (e.g., OpenSearch, Pinecone, Weaviate) and embedding techniques. • Strong problem-solving skills and ability to work independently or in a team. • Interest in exploring and implementing cutting-edge AI/ ML tools and technologies. • Experience with SQL/NoSQL databases and data manipulation. • Ability to communicate technical concepts clearly to both technical and non-technical audiences.

🏖️ Benefits

• Health insurance • Flexible working conditions • Professional development opportunities