Senior AI/ML Engineer at Nix

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