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Software Mind

Senior AI Engineer

Software Mind

. Join a 15-month AI transformation engagement for an international management consulting client .

Posted 9/21/2026full-timeRemote • Poland, RomaniaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing, building, and deploying Agentic AI solutions, with a strong focus on Palantir Foundry and AIP tools. Proficient in data engineering, ontology development, and integrating LLM models while ensuring quality and security in production environments.

Highest-signal resume keywords
Agentic AI Solution DevelopmentPalantir Foundry ExpertisePython ProgrammingData Pipeline EngineeringLLM Integration and Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Agentic AIData EngineeringOntology DevelopmentPythonLLM WorkflowsData PipelinesGit-based DevelopmentAutomated TestingCI/CD PipelinesDevSecOps
Soft Skills
Strong English CommunicationCollaboration
Tools & Technologies
Palantir AIPAzure AI FoundryDatabricksDatabricks GenieLangGraphLangChainLlamaIndex
Industry Keywords
AI TransformationMulti-Agent SolutionsRAG ArchitecturesVector DatabasesResponsible AI Principles

Tech Stack

Tools & technologies
AWSAzureGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • Join a 15-month AI transformation engagement for an international management consulting client
  • Deliver production-ready Agentic AI solutions across diverse business use cases
  • Work in a cross-functional pod of Senior Data and AI Engineers
  • Take solutions from ideation and experimentation through deployment
  • 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
  • Share Palantir expertise and upskill other engineers

Requirements

What you’ll 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
  • 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
  • Ability to collaborate with clients, cross-functional teams and other 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

Benefits

Comp & perks
  • 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