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.
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.
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.
