Role OverviewWe are sharing a full-time opportunity for an experienced AI/ML Engineer with strong expertise in Python, large language models, retrieval-augmented generation, agentic systems, cloud AI infrastructure, and production-grade machine learning to contribute to secure, mission-critical AI initiatives.
What You Will Do
The role will focus on designing and deploying advanced AI systems using LLMs, RAG, multi-agent orchestration, secure cloud platforms, and robust data infrastructure.
Why It Might Be a Fit
The ideal candidate combines deep hands-on engineering ability with strong systems thinking, production experience, and comfort working in highly regulated or security-sensitive environments.
Requirements
- Strong proficiency in Python for production AI/ML development
- Hands-on experience building production systems using LLMs, RAG, and prompt engineering
- Experience with multi-agent orchestration, tool use, or agentic AI systems
- Familiarity with LangGraph, LangChain, or comparable orchestration frameworks
- Strong understanding of cloud AI services and secure deployment environments
- Experience with AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock, or related platforms is highly relevant
- Background building data pipelines, ETL systems, metadata catalogues, or ontologies
- Strong experience with REST APIs and SDK integrations
- Understanding of secure coding and modern DevOps practices, including CI/CD
- Strong written and verbal communication skills
- Experience with government, defence, highly regulated, or compliance-sensitive environments is advantageous
- Familiarity with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise is beneficial
- Knowledge of advanced API development and metadata or context-management platforms is a plus
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