AI Engineer

Asks for

• Arize PhoenixThe ad says“Experience in Evaluation & Monitoring: Proficiency with open source tools for testing (e.g. DeepEval). Experience implementing full tracing and observability tools (e.g. LangSmith, Langfuse, Arize Phoenix)”
• AWSThe ad says“You will need to combine a startup mindset with the rigor of a regulated financial institution, moving beyond simple chatbots to build "Stateful" Agentic Systems and Multimodal RAG pipelines that can reason across text, charts, and financial tables. This role is responsible for developing our core generative capabilities and getting them to production in the most efficient, secure, and observable way possible. We architect solutions that bridge our AI tech stack with our enterprise data lake on AWS. We rely on our AI Engineers to possess "Deployment Autonomy", meaning you architect, implement, test, and deploy your own solutions.”
• DeepEvalThe ad says“Define and implement the "Definition of Done" for AI using quantitative evaluation. Use evaluation tools (e.g. DeepEval) to score models on Faithfulness and Relevancy. Use these metrics to validate model upgrades and cost-optimisation experiments”
• DockerThe ad says“Champion Deployment Autonomy: Containerise your solutions (e.g. Docker), define the infrastructure and deploy to our cloud resources via GitLab CI”
• FastAPIThe ad says“Python Expertise: Proficiency with data validation (e.g. Pydantic) and asynchronous REST APIs (e.g. FastAPI)”
• GCPThe ad says“Architect production-grade RAG workflows on cloud resources (e.g. AWS, GCP) using reliable tools (e.g. LangGraph / LlamaIndex). Build agents that can plan multi-step financial tasks”
• GenAIThe ad says“5+ years of total AI engineering experience, with 2+ years of hands-on experience building and deploying NLP or GenAI solutions in production”
• GiskardThe ad says“Experience in Security & Red Teaming: Knowledge of adversarial testing frameworks (e.g. Giskard, PyRIT) to scan for LLM vulnerabilities”
• GitLab CIThe ad says“Champion Deployment Autonomy: Containerise your solutions (e.g. Docker), define the infrastructure and deploy to our cloud resources via GitLab CI”
• Guardrails AIThe ad says“Ensure governance by implementing deterministic guardrails (e.g. NeMo Guardrails, Guardrails AI) to enforce JSON output schemas and block non-compliant financial advice”
• JailbreakingThe ad says“Act as the internal adversary (Red Teaming). Design cases to stress-test models against Prompt Injection, Jailbreaking and PII Leakage before they touch sensitive data”
• LangChainThe ad says“Mastery of GenAI Orchestration: Expert level skills in LangChain or LangGraph (specifically for stateful, multi-turn agents) or LlamaIndex and other equivalent tools/libraries”
• LangfuseThe ad says“Experience in Evaluation & Monitoring: Proficiency with open source tools for testing (e.g. DeepEval). Experience implementing full tracing and observability tools (e.g. LangSmith, Langfuse, Arize Phoenix)”
• LangGraphThe ad says“Architect production-grade RAG workflows on cloud resources (e.g. AWS, GCP) using reliable tools (e.g. LangGraph / LlamaIndex). Build agents that can plan multi-step financial tasks”
• LangSmithThe ad says“Experience in Evaluation & Monitoring: Proficiency with open source tools for testing (e.g. DeepEval). Experience implementing full tracing and observability tools (e.g. LangSmith, Langfuse, Arize Phoenix)”
• LlamaIndexThe ad says“Architect production-grade RAG workflows on cloud resources (e.g. AWS, GCP) using reliable tools (e.g. LangGraph / LlamaIndex). Build agents that can plan multi-step financial tasks”
• MilvusThe ad says“Retrieval Engineering: Hands-on experience managing vector databases (e.g. Vertex AI Vector Search, Weaviate, Milvus or pgvector). Understanding of indexing and chunking strategies for hybrid search (Dense + Sparse)”
• MLOpsThe ad says“Passionate about MLOps: Ability to write GitLab CI pipelines (automated testing, linting, scanning) and strong Docker skills (multi-stage builds)”
• NeMo GuardrailsThe ad says“Ensure governance by implementing deterministic guardrails (e.g. NeMo Guardrails, Guardrails AI) to enforce JSON output schemas and block non-compliant financial advice”
• NLPThe ad says“5+ years of total AI engineering experience, with 2+ years of hands-on experience building and deploying NLP or GenAI solutions in production”
• pgvectorThe ad says“Retrieval Engineering: Hands-on experience managing vector databases (e.g. Vertex AI Vector Search, Weaviate, Milvus or pgvector). Understanding of indexing and chunking strategies for hybrid search (Dense + Sparse)”
• PII LeakageThe ad says“Act as the internal adversary (Red Teaming). Design cases to stress-test models against Prompt Injection, Jailbreaking and PII Leakage before they touch sensitive data”
• Prompt InjectionThe ad says“Act as the internal adversary (Red Teaming). Design cases to stress-test models against Prompt Injection, Jailbreaking and PII Leakage before they touch sensitive data”
• PydanticThe ad says“Python Expertise: Proficiency with data validation (e.g. Pydantic) and asynchronous REST APIs (e.g. FastAPI)”
• PyRITThe ad says“Experience in Security & Red Teaming: Knowledge of adversarial testing frameworks (e.g. Giskard, PyRIT) to scan for LLM vulnerabilities”
• PythonThe ad says“Python Expertise: Proficiency with data validation (e.g. Pydantic) and asynchronous REST APIs (e.g. FastAPI)”
• Red TeamingThe ad says“Act as the internal adversary (Red Teaming). Design cases to stress-test models against Prompt Injection, Jailbreaking and PII Leakage before they touch sensitive data”
• Vector databasesThe ad says“Retrieval Engineering: Hands-on experience managing vector databases (e.g. Vertex AI Vector Search, Weaviate, Milvus or pgvector). Understanding of indexing and chunking strategies for hybrid search (Dense + Sparse)”
• Vertex AI Vector SearchThe ad says“Retrieval Engineering: Hands-on experience managing vector databases (e.g. Vertex AI Vector Search, Weaviate, Milvus or pgvector). Understanding of indexing and chunking strategies for hybrid search (Dense + Sparse)”
• WeaviateThe ad says“Retrieval Engineering: Hands-on experience managing vector databases (e.g. Vertex AI Vector Search, Weaviate, Milvus or pgvector). Understanding of indexing and chunking strategies for hybrid search (Dense + Sparse)”