Sr. Software Engineer - AI

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Quick Summary

Key Responsibilities

Design, develop, and deploy AI-driven applications using RAG and Agentic AI frameworks.

Requirements Summary

2–5 years of experience in AI/ML engineering. Familiarity with AI/ ML concepts and application development using Generative AI.

Technical Tools

OtherSoftware Engineer Ai

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences.

Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds.

Game-changers, innovators, culture-lovers—and humankind.

We invite discovery and debate. We recognize key moments as milestones.

We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference.

The Senior AI Engineer (2–5 years experience) is responsible for designing and implementing intelligent, scalable AI/ ML solutions with a focus on Machine Learning, Retrieval-Augmented Generation (RAG), Agentic AI and Modular Cognitive Processes (MCP). This role is ideal for individuals who are passionate about the latest AI & ML advancements and eager to apply them in real-world applications. The engineer will collaborate with cross-functional teams to deliver high-quality, production-ready AI systems aligned with business goals and technical standards.

Responsibilities

~1 min read

→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.

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.