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AI Agent Middle/Senior Developer

Itransition Alle Angebote ansehen
Warszawa
Wrocław
Praca zdalna
Läuft ab 14 Okt 2026
vor 23 Tagen

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