Senior AI Engineer

Описание

We are seeking an AI Engineer to transition our AI capabilities from "prototype" to "production". In this role, you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools.

Responsibilities

• Architect complex, multi-agent workflows using Microsoft AI tech stack
• Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions
• Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.)
• Design persistence layers to manage agent memory, conversational history, and context windows efficiently
• Build production-grade data retrieval and integration systems
• Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval
• Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption
• Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing
• Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment
• Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production
• Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs
• Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code
• Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity

Requirements

• Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications
• Strong hands-on experience with Python for AI/LLM application development
• Hands-on experience designing and building AI agents / Agentic AI solutions
• Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini)
• 2+ years specifically building with LLMs
• Deep familiarity with orchestration tools like LangChain, LangGraph, or similar state-based frameworks
• Deep familiarity with vector DBs like Pinecone, Weaviate, or pgvector
• Deep familiarity with advanced prompt engineering techniques (Chain-of-Thought, ReAct, Few-Shot)
• Experience not just building demos, but operating them
• Ability to handle rate limits, context window overflows, and non-deterministic errors
• Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful
• Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer

We offer

• Remote work or office (Kraków, Warsaw, Łódź, Wrocław, Poland)

Hiring process

• Referrals double your chances for an interview at Intellias