Ai/ml engineer

pbLuogo di lavoro: /b Romabr/ /ppbPay: /b $200,000-$350,000/yr /ppbJob Title: /b AI/ML Engineer /ppbJob Type: /b Full-Time /ppbAbout Us: /b /ppthe company is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world's top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale. /ph3Job Summary /h3pJoin our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to the company's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. /ph3Key Responsibilities /h3ulliDesign, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. /liliDevelop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. /liliIntegrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. /liliBuild robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. /liliCreate and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. /liliCollaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). /liliDocument technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. /li /ulh3Required Skills and Qualifications /h3ulliProficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. /liliHands-on experience with LLMs, RAG systems, and prompt engineering in production environments. /liliFamiliarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. /liliDeep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). /liliBackground in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. /liliStrong grasp of secure coding and modern DevOps practices (CI/CD pipelines). /liliExceptional written and verbal communication skills for effective collaboration and documentation. /li /ulh3Preferred Qualifications /h3ulliExperience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. /liliKnowledge of metadata catalog platforms (MCP) and advanced API development techniques. /liliPrior exposure to government or highly regulated cloud environments and compliance standards. /li /ul #J-18808-Ljbffr