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Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and deploying scalable services with Java/Python/TypeScript.
Custom Software Engineer
Builds AI-powered agentic applications by implementing LLM tooling, RAG pipelines, and vector search, integrating with enterprise systems, and ensuring safety/testing. Core tech: Python, TypeScript/Node.js, Java, LangChain, vector DBs (pgvector, Pinecone).
Custom Software Engineer
Build AI-powered applications using Java full-stack, Python, and TypeScript, implementing agents, RAG pipelines, and vector search for rapid prototyping and production systems.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and ensuring robust testing and safety.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating APIs and cloud services while writing clean, testable code and CI/CD pipelines.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and ensuring robust testing and safety.
Custom Software Engineer
Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and APIs while owning full-stack development and CI/CD.
Custom Software Engineer
Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Principal Data Scientist 3
Leads AI/ML and generative AI projects, designing RAG pipelines, LLM-based systems, and production-ready models while owning end-to-end delivery, strategy, and cross-functional team leadership.
AI Engineer / Agentic AI Developer
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
Machine Learning Ops Engineer
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Senior Python Developer (FastAPI)
Architect and build high-throughput, low-latency FastAPI microservices for a cloud-native backend, using async Python, PostgreSQL, Redis, and Kubernetes.
Senior Data Engineer (Python)
Senior Data Engineer builds and scales Python-based ELT/ETL pipelines, data warehouses, and DataOps practices for high-growth client products using tools like dbt, Airflow, and Snowflake.
AI Backend Software Engineer II - AI Application Platform
Build and scale the backend platform that powers AI-driven travel experiences, integrating LLMs, vector search, and agentic systems for millions of users.
Agentic AI & ITSM/AIOps Solutions Architect (m/f/d)
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
Geospatial Platform Engineer
Build and maintain cloud-native geospatial platforms that ingest, process, and serve Earth Observation data via APIs and microservices using Python, Kubernetes, and open standards like STAC/OGC.
Geospatial Platform Engineer, AI Focus
Build and operate cloud-native geospatial platforms that power AI-driven Earth Observation services, integrating RAG, vector databases, and Kubernetes-based infrastructure.
MLOps Engineer
MLOps engineer builds and runs Kubeflow/ClearML-based ML pipelines, deploys high-load inference services on Kubernetes, and supports data scientists with GitOps and observability tooling.
Knowledge Engineer - Back End
Build and maintain the back-end infrastructure for an AI-driven knowledge platform, focusing on knowledge graphs, vector databases, and data pipelines using Python/Java, SPARQL, and REST APIs.
Knowledge Engineer Manager - Back-end Engineer
Build and maintain the back-end infrastructure for an AI-driven knowledge platform, including knowledge graphs, vector stores, and APIs using Python/Java, SPARQL, and cloud services.