Senior AI/ML Engineer

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