AI Engineer

About the Position

Your vision. Our solutions.

We are seeking an AI Engineer to design and implement systems that integrate models, data, and services for our cutting-edge intelligence solutions.

Responsibilities

• Build AI Features & Agentic Workflows

  • Implement multi-agent orchestration, retrieval pipelines, validator agents, and agent actions.
  • Develop prompt templates, structured tools, and reasoning workflows aligned to pod requirements.

• Retrieval, Vector Search & Data Pipelines

  • Build and optimize vector search pipelines (FAISS, Milvus, Elasticsearch/OpenSearch, Pinecone, etc.).
  • Implement retrieval strategies, embeddings, chunkers, ranking, and data-prep flows.
  • Construct ETL/ELT pipelines supporting model and agent runtime.

• Model Integration, Fine-Tuning & Evals

  • Integrate LLMs (Azure OpenAI, Bedrock, Anthropic, etc.) into application workflows.
  • Support lightweight fine-tuning, adapter models, or domain adaptation processes.
  • Create evaluation suites (unit evals, behavioral tests, A/B experiments) for reliability and drift detection.

• API, Backend & Product Integrations

  • Develop and maintain API endpoints powering agent actions or retrieval layers.
  • Integrate with application surfaces (web apps, dashboards, status surfaces, messaging interfaces).
  • Work closely with UX/FE teams to ensure clean handoffs and stable data contracts.

• Observability, Logging & Instrumentation

  • Build instrumentation for latency, cost, error modes, and behavioral failures.
  • Partner with AI Ops to support deployments, monitoring, and rollback.
  • Ensure proper logging for audit trails, compliance, and troubleshooting.

• Engineering Practices & SDLC Discipline

  • Write clean, documented Python code with tests, linters, and version control discipline.
  • Participate in code reviews, design reviews, and backlog refinement.
  • Follow IE’s 12-week pod structure with predictable output each sprint.

Requirements

Technical Skills

• Strong Python engineering experience (3–6+ years).
• Experience with vector databases, embeddings, and retrieval systems.
• Hands-on experience building RAG, agentic workflows, or similar AI patterns.
• Familiarity with model evaluation, testing, and observability tools.
• Solid knowledge of APIs, microservices, and data-centric integrations.
• Comfort with cloud platforms (Azure, AWS, GCP) and CI/CD workflows.

Foundational Engineering Skills

• Excellent debugging, profiling, and performance optimization skills.
• Strong understanding of source control (Git), branching, PR reviews.
• Ability to work in structured agile environments with clear sprint increments.

Mindset

• High ownership, curiosity, and willingness to experiment.
• Loves hard problems and iterating on prototypes.
• Comfortable working in fast-changing frontier environments.
• Values clarity, structure, and quality in code.

We Offer

• Fully remote position with possible occasional in-person team sessions/workshops/gatherings (i.e., 1x quarter) likely to take place in Prague.
• Minimum 2-6pm CET overlap with preferred 2-7pm CET.
• Competitive salary and benefits package.

About the Company

The Workly s.r.o.

4D CENTER, Kodaňská 1441/46,

101 00, Praha 10.

Contact: [email protected]

Phone: + 420 775 371 991

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