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.

Lead Data and AI Engineer, Palantir Foundry

Lead development of Palantir Foundry pipelines, ontologies, and agentic AI solutions for Software Mind’s global clients. Guide production delivery while working hands-on with client teams.

Apraksts

  • Develop and maintain Foundry data pipelines, ontology components, and applications
  • Create semantic and context layers using Palantir ontology features, including Object, Link, and Action Types, Interfaces, and Property Sets
  • Build large language model workflows with AIP Logic, AIP Automate, and AIP Assist
  • Move agentic AI use cases from prototype to production through implementation, testing, deployment, and monitoring
  • Lead the team’s Palantir work while contributing hands-on
  • Shape solutions, review code, mentor engineers, and clear technical blockers
  • Take responsibility for the technical delivery of assigned solutions
  • Turn business needs into implementation plans and guide solutions through production deployment
  • Lead technical conversations with client stakeholders
  • Communicate design choices, trade-offs, dependencies, and delivery risks

Prasības

  • Practical Palantir Foundry and/or AIP experience on client or production projects
  • Experience developing agentic or generative AI applications is strongly preferred
  • Strong software engineering and problem-solving abilities
  • Experience connecting AI to enterprise data sources, APIs, and business systems
  • Solid data engineering experience with structured and unstructured data
  • Able to work through fast delivery cycles and shifting requirements
  • Strong English communication with technical and business stakeholders
  • Available to work EST business hours
  • Preferred: Production deployments using Palantir Ontology Linter, Data Lineage, CBAC, or Foundry Marketplace
  • Preferred: Experience with semantic layers, ontologies, or knowledge graphs
  • Preferred: Experience with Azure, Azure AI Foundry, or Databricks/Genie
  • Preferred: Experience with GitHub CI/CD and DevOps or DevSecOps tools
  • Preferred: Experience deploying models from OpenAI, Anthropic, or other LLM providers, including model selection and cost optimization
  • Preferred: Experience creating reusable agent skills, tools, or components

Priekšrocības

  • Option to work remotely
  • Full-time role
  • Opportunities to contribute to transformative projects and work with emerging technologies
  • Work with cross-functional engineering teams
  • Coaching and opportunities for professional development
  • An open, respectful culture that supports enjoyment at work

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