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.
Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise!
General Summary:
The Senior AI Engineer (2 + years of 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.
Location: Bangalore
Work Type: Hybrid
Essential Duties and Responsibilities:
- 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:
Onsite/Hybrid/Remote depending on location
ConnectWise is an Equal Opportunity Employer, dedicated to building a diverse and inclusive workforce and providing a workplace free from discrimination and harassment. ConnectWise provides equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, religion, age, sex (including pregnancy), sexual orientation, gender, gender identity or expression, ancestry, national origin, citizenship status, physical or mental disability, genetic information, military/veteran status, marital status, familial or parental status, or any other characteristic or status protected by applicable federal, state and local laws.
The statements above are intended to describe the general nature and level of work being performed by individuals assigned to this job. Other duties may be assigned as needed. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job and/or to receive other benefits and privileges of employment. If you need a reasonable accommodation for any part of the application and hiring process, please contact us at [email protected] or 1-800-671-6898.
Skills Required
- 2-5 years of experience in AI/ML engineering
- Strong Python programming skills and OOP/software engineering principles
- Experience designing, developing, and deploying RAG and Agentic AI solutions
- Hands-on experience with LangChain, LlamaIndex, Haystack, or Hugging Face
- Experience with vector databases and embedding techniques (OpenSearch, Pinecone, Weaviate, etc.)
- Experience building RESTful APIs for model integration (FastAPI, Flask)
- Proficiency with CI/CD and containerization tools (Git, Docker, Jenkins, Airflow)
- Exposure to cloud platforms and services (AWS, Azure, GCP; S3, SageMaker, Vertex AI)
- Experience with testing and validation frameworks (pytest or unittest)
- Experience with SQL and NoSQL databases and data manipulation
- Bachelor's or Master's degree in Computer Science or related field
- Ability to communicate technical concepts clearly to technical and non-technical audiences
ConnectWise Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ConnectWise and has not been reviewed or approved by ConnectWise.
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Leave & Time Off Breadth — Time off is positioned as a standout part of the package, including “Flexible Time Off,” “Flex Friday’s,” and frequent references to an “Unlimited PTO” approach that is valued for flexibility.
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Healthcare Strength — Core medical, dental, and vision coverage is consistently included, with additional items like life insurance and pre-tax accounts such as HSA contributions; some descriptions also indicate a possibility of fully covered employee medical premiums in certain cases.
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Retirement Support — Retirement and longer-term financial benefits are present through a 401K/retirement plan and an employee stock purchase plan, which strengthens the overall rewards package beyond base salary.
ConnectWise Insights
What We Do
Born out of a single software solution designed to help MSPs gain control of their help desk and billing, ConnectWise has grown into a robust platform of software built for technology solutions providers (TSPs) to run their entire as-a-service business. With products aiding in business management, remote monitoring and management, remote control and access, quote and proposal automation, and cybersecurity risk assessments, integrations with hundreds of key vendors, plus the largest and most engaged community in the industry, ConnectWise has built a platform for The IT Nation.
