Software Mind
Software Mind
Software Mind ir tehnoloģiju uzņēmums, kas organizācijām nodrošina programmatūras izstrādes un digitālās transformācijas pakalpojumus mākslīgā intelekta, SaaS un telekomunikāciju jomā. Uzņēmuma pakalpojumi ietver pielāgotu programmatūru, mobilās lietotnes, mākoņdatošanas konsultācijas un uz mākslīgo intelektu vērstus risinājumus, kas izstrādāti, ņemot vērā klientu vajadzības tādās nozarēs kā finanšu pakalpojumi, telekomunikācijas, biotehnoloģijas un plašsaziņas līdzekļi. Software Mind ar vairāk nekā 1 000 darbiniekiem atbalsta globālajos tirgos strādājošu uzņēmumu tehnoloģiju iniciatīvas un digitālo izaugsmi.

AI Engineer

Build LLM applications, retrieval-augmented generation pipelines, and intelligent automation for Software Mind’s global clients. The role spans rapid prototypes and production deployments.

Apraksts

  • Create and deploy AI solutions, including LLM applications, chatbots, and intelligent systems.
  • Develop and refine prompt strategies through evaluation and iteration.
  • Build retrieval-augmented generation pipelines with vector databases.
  • Connect LLMs and other AI models to cloud applications and APIs.
  • Create agent workflows and AI automation solutions.
  • Assess and apply emerging AI tools, models, and frameworks.
  • Work with clients, pairing technical expertise with an understanding of their business needs.
  • Deliver AI solutions for real business needs, from prototypes to production deployments.

Prasības

  • Bring strong Python experience for AI application development.
  • Have hands-on experience with LLMs and generative AI, including OpenAI or open-source models.
  • Have practical experience using prompt engineering in production.
  • Have experience with LangChain, LangGraph, LlamaIndex, or comparable frameworks.
  • Have designed and implemented RAG architectures and worked with vector databases such as Qdrant, Pinecone, or Weaviate.
  • Have experience deploying AI applications in AWS, Azure, or Google Cloud Platform.
  • Understand AI safety, guardrails, and responsible AI practices.
  • Be able to speak and write in English.

Priekšrocības

  • Flexible arrangements for remote work and collaboration.
  • Work on international projects for leading global clients.
  • Travel for international projects.
  • A non-corporate working environment.
  • Access to language classes.
  • Opportunities to take part in knowledge-sharing initiatives.
  • Access to private healthcare and life insurance.
  • Access to a Multisport card.

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