16h 57m ago
Middle ML/AI Developer
awslangfuseci/cd
📡Remote In-Country
|Albania, Andorra, Austria, Middle ML/AI Developer
Artificial intelligence and software development
16h 57m agoRemote In-Country
Contract
IC
Albania, Andorra, Austria,
Source not independently verified - confirm the company domain before applying.
#vacancy #вакансия 🔎Hiring: ML/AI Developer. 🇪🇺
🔹 Project: Development of production-ready AI, LLM, and agent-based solutions
🔹 Start Date: As soon as possible
🔹 English Level: C1
🔹 Contract: Through December 31, 2029, with a possibility of extension
🔹 Employment: Full-time
🔹 Work Setup: Fully remote within the EU 🇪🇺
🔥 What We’re Looking For
- Minimum 3 years of experience building and maintaining production-level AI applications powered by LLMs.
- At least 3 years of practical experience in Agentic Engineering, covering the entire process from solution design and implementation to integration, deployment, and ongoing support of AI agents.
- 1+ year of experience developing Tool Calling Loops and connecting APIs, backend services, and enterprise software.
- Hands-on expertise in integrating LLM-driven components with deterministic logic, Context Engineering, and Harness Engineering (minimum 1 year).
- Solid practical knowledge of MCP and enterprise-level AI integrations.
- Background in RAG-based solutions and LLM application development.
- Ability to manage the complete AI development cycle, including architecture, implementation, testing, deployment, and production operations.
- Excellent communication skills when collaborating with engineering teams and business stakeholders.
- At least 2 relevant project references showcasing experience in stakeholder communication.
⭐ Additional Experience That Would Be Beneficial
- Knowledge of AI governance, security, compliance, and data protection practices.
- Familiarity with AI monitoring, observability, and evaluation solutions such as Langfuse, Arize, or comparable tools.
- Experience with enterprise AI ecosystems, AI gateways, prompt lifecycle management, and model governance.
- Understanding of multi-agent system design and agent orchestration.
- 2+ years of practical RAG experience.
- 2+ years of building, designing, or maintaining MCP servers.
- Familiarity with AWS and AWS Kiro.
- Experience implementing AI guardrails and security controls.
- Knowledge of CI/CD pipelines and automated testing practices.
🛠️ Technology Stack
LLMs | Generative AI | Agentic AI | AI Agents | Multi-Agent Systems | Tool Calling | MCP | MCP Servers | RAG | Context Engineering | Harness Engineering | Langfuse | Arize | AWS | AI Gateways | Prompt Management | Model Governance | CI/CD | AI Security | Guardrails | Enterprise AI
📩 Interested or know someone who might be a match?
🔹 Project: Development of production-ready AI, LLM, and agent-based solutions
🔹 Start Date: As soon as possible
🔹 English Level: C1
🔹 Contract: Through December 31, 2029, with a possibility of extension
🔹 Employment: Full-time
🔹 Work Setup: Fully remote within the EU 🇪🇺
🔥 What We’re Looking For
- Minimum 3 years of experience building and maintaining production-level AI applications powered by LLMs.
- At least 3 years of practical experience in Agentic Engineering, covering the entire process from solution design and implementation to integration, deployment, and ongoing support of AI agents.
- 1+ year of experience developing Tool Calling Loops and connecting APIs, backend services, and enterprise software.
- Hands-on expertise in integrating LLM-driven components with deterministic logic, Context Engineering, and Harness Engineering (minimum 1 year).
- Solid practical knowledge of MCP and enterprise-level AI integrations.
- Background in RAG-based solutions and LLM application development.
- Ability to manage the complete AI development cycle, including architecture, implementation, testing, deployment, and production operations.
- Excellent communication skills when collaborating with engineering teams and business stakeholders.
- At least 2 relevant project references showcasing experience in stakeholder communication.
⭐ Additional Experience That Would Be Beneficial
- Knowledge of AI governance, security, compliance, and data protection practices.
- Familiarity with AI monitoring, observability, and evaluation solutions such as Langfuse, Arize, or comparable tools.
- Experience with enterprise AI ecosystems, AI gateways, prompt lifecycle management, and model governance.
- Understanding of multi-agent system design and agent orchestration.
- 2+ years of practical RAG experience.
- 2+ years of building, designing, or maintaining MCP servers.
- Familiarity with AWS and AWS Kiro.
- Experience implementing AI guardrails and security controls.
- Knowledge of CI/CD pipelines and automated testing practices.
🛠️ Technology Stack
LLMs | Generative AI | Agentic AI | AI Agents | Multi-Agent Systems | Tool Calling | MCP | MCP Servers | RAG | Context Engineering | Harness Engineering | Langfuse | Arize | AWS | AI Gateways | Prompt Management | Model Governance | CI/CD | AI Security | Guardrails | Enterprise AI
📩 Interested or know someone who might be a match?
Required Skills
awslangfuseci/cd
Required Languages
🇬🇧 English