AI Engineer

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Software Mind

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, build, and deploy AI and Generative AI solutions, including LLM-powered applications, chatbots, and intelligent systems • Develop and optimize prompt engineering strategies through evaluation and iteration • Build RAG pipelines using vector databases • Integrate LLMs and AI models into cloud-based applications and APIs • Implement agent-based workflows and AI automation solutions • Research, evaluate, and apply new AI tools, models, and frameworks • Collaborate closely with clients as part of a consulting-driven team • Combine technical expertise with business understanding to deliver impactful AI solutions • Work on projects ranging from rapid prototyping to production-grade deployments, focused on LLM applications, intelligent automation, and AI-powered products

🎯 Requirements

• Strong experience with Python for AI application development • Hands-on experience with LLMs and Generative AI, including OpenAI or 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 • Experience working with vector databases such as Qdrant, Pinecone, or Weaviate • Experience building and deploying AI-powered applications in cloud environments using AWS, Azure, or GCP • Understanding of AI safety, guardrails, and responsible AI practices • Ability to speak and write in English

🏖️ Benefits

• Employees can work remotely • 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