AI Agent Middle/Senior Developer
Kurzfassung
AI Agent Developer (Middle/Senior) in Warszawa. Develop, implement, and optimize AI agents using Python, RAG, LangChain. Requires production experience with AI systems. Offers remote work, flexible hours, career development. Clients: PayPal, Adidas.
Von KI erstellte Kurzfassung des Anzeigentextes.
We are looking for a skilled AI Agent Developer to join our AI team. You should have proven production experience with AI systems and a strong interest in learning and growing with modern agent technologies. Requirements:
Strong Python skills and proven production experience with Agentic ecosystems
- Embeddings & Vector search
- Prompt & Context engineeringRAG, CRAG, Graph
- RAG
- Lang
- Chain, LangGraph, Crew
- AIAgent's testing & verification
- Agentic Tools and skillsAI-assisted coding models & tools
- Strong analytical and problem-solving mindset
- Ability to clearly communicate findings and trade-offs
- Ownership of tasks from research to implementation
- Curiosity and willingness to explore new approaches
- Level of English enough for efficient technical and business communication with native speakers Nice to have:
Autonomous Agents & Deep Agents
- Model types and capabilities (Thinking, Multimodal models)LLM
- Ops
- GenAI Observability
- Memory management & Prompt caching
- Model Governance & Data Governance (Responsible AI)
Basics knowledge of Cloud infrastructure
Agentic patterns
Integration mechanics (MCP, AA-protocol)
Basic understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross-validation
Knowledge of statistical methods and probability theory
Responsibilities:
Develop, implement, and optimize AI agents capable of autonomous decision‑making, reasoning, and tool‑usage in real‑world scenarios
- Build and maintain pipelines for agent planning, memory, retrieval, and multi‑step task execution
- Integrate LLMs, vector stores, APIs, and external tools to enable complex agent behaviors
- Design and refine prompting strategies, reasoning chains, and agent policies to improve reliability and accuracy
- Implement evaluation frameworks for agent performance, safety, and robustness across diverse tasks
- Monitor agent behavior in production, troubleshoot failures, and continuously improve quality of outputs
- Optimize inference pipelines for speed, cost efficiency, and model/tool selectionWe offer:
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
| Veröffentlicht | 2026-08-25 |
| Quelle |
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