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Data Engineer at NNIT's AI Center of Excellence designing and building enterprise cloud data platforms—ETL/ELT pipelines, data lakes, and lakehouses—using Azure, Databricks, Snowflake, Python, and SQL to enable AI and analytics for global clients.
Lead backend and AI-enabled application development using Java and Python for special education services, providing technical guidance and mentoring engineers.
Senior Software Engineer leading backend and AI-enabled application development using Java and Python, focused on technical guidance, mentoring, and building data translation/visualization services.
Senior Data Engineer designing and building cloud-native data platforms and ETL/ELT pipelines to power enterprise AI/ML solutions across manufacturing, supply chain and finance at a global electrification company, using Python, SQL, Databricks, Spark and cloud platforms.
Senior Software Engineer owning search and information retrieval for a defense AI platform, focusing on full-text search, vector databases, LLMs, NLP, and relevance algorithms.
About the role This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on Forward Deployed AI Engineer to build and operate production agentic AI systems within a complex operational business. You…
Design and deploy AI/ML models—including generative AI and agentic systems—on the C3 AI Platform for enterprise clients in a client-facing, travel-required role.
Senior AI Engineer designing, building, and deploying LLM-powered applications, retrieval pipelines, and predictive models using modern backend frameworks, SQL, and cloud environments for a San Juan-based AI solutions firm.
The Data Engineer will build and maintain large-scale pipelines to process unstructured data, integrating AI models and vector embeddings to support national security analytical systems. The role focuses on high-throughput data transformation, hybrid search indexing, and multimedia processing.
Design and maintain high-throughput pipelines that ingest and transform unstructured data into vector embeddings for semantic search, powering national security analytics.
Full stack developer on a 12-month contract using AI-assisted coding tools to build and integrate LLM/GenAI capabilities (RAG, chatbots, agents) into enterprise web applications with modern JS/TS frontends and Node.js/Python/Go backends on cloud/container platforms.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Build and maintain cloud-native back-end services for maritime IT networks while integrating AI/LLM features like RAG pipelines and agentic workflows using Python and distributed systems.
Data Engineer building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Product Manager leads end-to-end AI agents and LLM solutions from discovery to deployment, defining specs, prompts, tools, and success metrics while collaborating with engineering, data, and business teams.
Build and maintain an autonomous AI agent platform for hardware validation, designing LLM agent frameworks, RAG pipelines, and developer tooling to automate testing and knowledge management without human intervention.
Designs and builds AI/ML pipelines, including RAG systems and LLM integrations, to process and analyze data for intelligence missions in a fast-paced government-focused environment.
Build and secure AI-enabled applications using LLMs, RAG pipelines, and vector search; deploy in FedRAMP environments and ensure compliance with accessibility and adversarial testing standards.
Lead AI Engineer/Architect responsible for enterprise AI solution architecture and hands-on technical delivery of Generative AI, LLM, RAG, and agentic AI systems for a federal program in Washington, DC, with strong emphasis on NIST/FISMA compliance and security.
Senior AI Engineer builds and deploys generative AI systems using LLMs, RAG, agents, and vector search, working remotely in LATAM or the US.
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