We are looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.

Key Responsibilities

  • Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
  • Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
  • Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
  • Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
  • Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
  • Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
  • Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
  • Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
  • Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
  • Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
  • Ensure responsible AI practices, including data privacy, governance, and compliance considerations
  • Collaborate with stakeholders to translate business needs into practical and scalable AI solutions
  • Mentor junior engineers and contribute to knowledge sharing within the team

Requirements

  • 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
  • Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
  • Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
  • Practical experience with RAG architectures, vector databases, and retrieval strategies
  • Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
  • Experience building and deploying production-grade AI systems
  • Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
  • Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
  • Experience working in enterprise data environments with cross-functional teams
  • Ability to communicate AI concepts and results to technical and non-technical stakeholders
  • Upper-Intermediate English or higher

Nice to Have

  • Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
  • Experience in regulated industries (e.g., pharma, finance)
  • Experience with distributed data processing (e.g., Spark)
  • Exposure to multilingual or multimodal AI systems

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers