[ASP] Senior AI Engineer with Palantir

Posted 2 Days Ago
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Hiring Remotely in Kraków, Małopolskie, POL
In-Office or Remote
Senior level
Software
The Role
Design, build, test, and deploy production-ready agentic AI and multi-agent solutions using Palantir Foundry, Palantir AIP, LLMs, Azure, and Databricks. Responsibilities include developing AI agents, data pipelines, ontologies, RAG workflows, model integrations, automated testing, observability, guardrails, and secure CI/CD. The role also involves client collaboration, knowledge sharing, and mentoring engineers across international consulting projects.
Summary Generated by Built In
Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Job Description

Project – the aim you’ll have

You will join a 15-month AI transformation engagement for an international management consulting client, delivering production-ready Agentic AI solutions across diverse business use cases. Working in one of two cross-functional pods of Senior Data and AI Engineers, you will take solutions from ideation and experimentation through deployment. The project offers hands-on work with Palantir Foundry and AIP, modern LLMs, Azure and Databricks in a fast-paced environment.

Role – how you’ll contribute

  • Design, build, test and productionize Agentic AI solutions across the end-to-end use case lifecycle.
  • Develop modular AI agents, tools and reusable capabilities supporting multiple business use cases.
  • Engineer data pipelines and data products for structured and unstructured data using Palantir Foundry.
  • Design and maintain Foundry ontologies, including Object Types, Link Types, Action Types, Interfaces and Property Sets.
  • Build and deploy LLM-powered workflows using Palantir AIP Logic, AIP Automate and AIP Assist.
  • Integrate and evaluate models from OpenAI, Anthropic and other LLM providers, considering quality, security and cost.
  • Implement automated testing, observability, guardrails and secure CI/CD pipelines supporting production deployments.
  • Collaborate with client stakeholders and pod members, sharing Palantir expertise and upskilling other engineers.

Qualifications

Expectations – the experience you need

  • Strong commercial experience designing, building and deploying Agentic AI and multi-agent solutions in production environments.
  • Hands-on experience with Palantir Foundry and Palantir AIP, covering data engineering, ontology development and AI/LLM workflows.
  • Strong Python skills and practical experience with agent frameworks such as LangGraph, LangChain, LlamaIndex or similar.
  • Experience building data pipelines and semantic or context layers using structured and unstructured data.
  • Hands-on experience with leading LLM providers, RAG architectures, vector databases and model integration.
  •  Experience with Git-based development, automated testing, CI/CD pipelines and DevSecOps practices.
  • Understanding of LLM evaluation, AI guardrails, observability and responsible AI principles.
  • Strong English communication skills and the ability to collaborate with clients, cross-functional teams and other engineers.

Additional skills – the edge you have

  • Experience with advanced Palantir capabilities such as CBAC attribute sets, Data Lineage, Ontology Linter and Foundry Marketplace.
  • Hands-on knowledge of Azure AI Foundry, Databricks and Databricks Genie.
  • Experience designing semantic layers, ontologies or context spines across Azure, AWS or GCP environments.
  • Knowledge of LLM model selection, performance optimization and cost management.
  • Previous experience in consulting, rapid prototyping or upskilling engineering teams.

Additional Information

What we offer:

  • Flexible and remote cooperation options
  • International projects with leading global clients
  • Travels related to international projects
  • Non-corporate atmosphere
  • Access* to language classes
  • Access* to knowledge-sharing initiatives
  • Access* to private healthcare and life insurance
  • Access* to multisport card

*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.

Skills Required

  • Strong commercial experience designing, building, and deploying agentic AI and multi-agent solutions in production environments
  • Hands-on experience with Palantir Foundry and Palantir AIP, including data engineering, ontology development, and AI/LLM workflows
  • Strong Python skills and practical experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, or similar
  • Experience building data pipelines and semantic or context layers using structured and unstructured data
  • Hands-on experience with leading LLM providers, RAG architectures, vector databases, and model integration
  • Experience with Git-based development, automated testing, CI/CD pipelines, and DevSecOps practices
  • Understanding of LLM evaluation, AI guardrails, observability, and responsible AI principles
  • Strong English communication skills and ability to collaborate with clients, cross-functional teams, and engineers
  • Experience with advanced Palantir capabilities such as CBAC attribute sets, Data Lineage, Ontology Linter, and Foundry Marketplace
  • Hands-on knowledge of Azure AI Foundry, Databricks, and Databricks Genie
  • Experience designing semantic layers, ontologies, or context spines across Azure, AWS, or GCP environments
  • Knowledge of LLM model selection, performance optimization, and cost management
  • Previous experience in consulting, rapid prototyping, or upskilling engineering teams

Software Mind Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.

  • Fair & Transparent Compensation Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
  • Flexible Benefits Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
  • Wellbeing & Lifestyle Benefits Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.

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The Company
HQ: Kraków
1,000 Employees
Year Founded: 1999

What We Do

Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.

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