Contact person: Marlu Trade Services

Phone:Show

Email:Show

Location: Remote Cooperation

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"As our AI Engineer, you will take ownership of the AI layer of our product, ensuring the quality, reliability, performance, and continuous improvement of its AI capabilities.You will be involved throughout the development lifecycle, from defining technical solutions and designing architectures to implementing, evaluating, deploying, and optimising AI systems.We are looking for someone who can work independently, make sound technical decisions, and deliver production-ready AI solutions with minimal supervision." (client-provided description)

Additional information:"1. AI Engineering and Architecture
Strong proficiency in Python and asynchronous services.
Experience developing AI agents, workflows, tool calling, MCP, structured outputs, state, and memory.
Solid understanding of Retrieval-Augmented Generation (RAG), embeddings, retrieval, reranking, and source grounding.

2. AWS AI Technologies
Hands-on experience with Amazon Bedrock and AgentCore.
Familiarity with AgentCore Runtime, Gateway, Memory, Identity, and Observability.
Experience with Strands Agents or comparable AI orchestration frameworks.

3. AI Evaluation and Monitoring
Experience developing evaluation datasets, regression tests, and adversarial tests.
Understanding of task-success metrics, retrieval performance, and AI response quality.
Ability to monitor production behaviour, analyse system traces, and identify performance issues.

4. AI Security and Reliability
Knowledge of prompt-injection prevention, access controls, tenant isolation, and data privacy.
Experience implementing retries, fallbacks, idempotency, and controlled tool execution.
Understanding of model versioning, prompt versioning, and quality-based release processes.

5. AI-Assisted Development
Strong practical experience using Claude Code and OpenAI Codex.
Ability to manage AI coding agents through clear instructions, context management, and scoped tasks.
Capable of reviewing, testing, and validating AI-generated code.

Additional Advantage:
Experience working with local or open-weight AI models, model serving, quantisation, hardware constraints, and self-hosted inference." (admin-provided information)