
1001 - 5000 employees
Founded 1999
🤖 Artificial Intelligence
☁️ SaaS
📡 Telecommunications
💰 Private Equity Round on 2020-12
Artificial Intelligence • SaaS • Telecommunications
Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.
🕒 May 26
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1001 - 5000 employees
Founded 1999
🤖 Artificial Intelligence
☁️ SaaS
📡 Telecommunications
💰 Private Equity Round on 2020-12
Artificial Intelligence • SaaS • Telecommunications
Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.
• Designing, building, and deploying AI and Generative AI solutions (e.g., LLM-powered applications, chatbots, intelligent systems) • Developing and optimizing prompt engineering strategies, including evaluation and iteration • Building RAG pipelines using vector databases • Integrating LLMs and AI models into cloud-based applications and APIs • Implementing agent-based workflows and AI automation solutions • Continuously researching, evaluating, and applying new AI tools, models, and frameworks
• Strong experience with Python for AI application development • Hands-on experience with LLMs and Generative AI (e.g., OpenAI, open-source models) • Practical experience with prompt engineering in production use cases • Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks • Experience designing and implementing RAG architectures and working with vector databases (e.g., Qdrant, Pinecone, Weaviate) • Experience building and deploying AI-powered applications in cloud environments (AWS, Azure, or GCP) • Understanding of AI safety, guardrails, and responsible AI practices • Ability to speak and write in English
• Flexible employment and remote work • International projects with leading global clients • International business trips • Non-corporate atmosphere • Language classes • Internal & external training • Private healthcare and insurance • Multisport card • Well-being initiatives
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