Senior Software Engineer – AI

🕒 2 dias atrás

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of ConnectWise

ConnectWise

501 - 1000 funcionários

Fundada em 1982

☁️ SaaS

🔒 Cibersegurança

🏢 Corporativo

💰 $585.000 Seed Round em 2019-06

SaaS • Cybersecurity • Enterprise

A ConnectWise é um provedor líder de software e serviços para provedores de serviços gerenciados (MSPs), oferecendo soluções projetadas para automatizar e otimizar operações em gestão de TI, cibersegurança e gestão empresarial. Sua plataforma Asio é especialmente desenvolvida para MSPs, oferecendo ferramentas para monitoramento e gerenciamento unificado, cibersegurança, proteção de dados e gestão empresarial. A ConnectWise fornece serviços como automação de serviços profissionais, monitoramento e gerenciamento remoto (RMM), automação de cotações e propostas, documentação de TI e gestão financeira, entre outros. Através de parcerias e integrações com fornecedores de alta reputação, a ConnectWise melhora sua oferta para gestão de serviços de TI. A empresa também organiza eventos do setor e fornece suporte à comunidade para promover o crescimento e a inovação no setor de MSPs.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• Health insurance • Flexible working conditions • Professional development opportunities

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