‎ConnectWise - Sr. Software Engineer

• 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. • Knowledge, Skills, and/or Abilities Required: • 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. • Educational/Vocational/Previous Experience Recommendations: • Bachelor/ Master degree in CS or related field. • 2+ years of relevant experience • Working Conditions: • Working Conditions: • Onsite/Hybrid/Remote depending on location