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À propos
As an AI/ML Engineer, you will play a crucial role in advancing mission-critical government initiatives while contributing to proprietary AI infrastructure. This position offers the opportunity to leverage advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to create secure, scalable, and impactful machine learning systems.
Key Responsibilities:- Design, implement, and optimize AI/ML models, focusing on LLMs, RAG, and prompt engineering for production-grade applications.
- Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
- Integrate and deploy solutions in secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
- Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
- Collaborate with product, security, and engineering teams to ensure best-in-class delivery, adhering to secure coding and DevOps best practices (CI/CD).
- Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
- Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
- Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
- Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
- Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
- Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
- Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
- Exceptional written and verbal communication skills for effective collaboration and documentation.
- Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
- Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
- Prior exposure to government or highly regulated cloud environments.
Full-Time, Remote
Compensation:$250, 000 - $600, 000 yearly
Compétences linguistiques
- English
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