Описание:
Intellias provides technology solutions to business, government, education, and healthcare customers. Its offerings range from hardware and software to integrated IT solutions covering security, cloud, data center, and networking.
Задачи:
- Architect complex, multi-agent workflows using the Microsoft AI tech stack;
- Design, develop, and deploy agents that handle loops, interruptions, and human-in-the-loop interventions;
- Build reliable tool layers that enable LLMs to interact safely with internal APIs, databases, and third-party SaaS platforms;
- Design persistence layers for agent memory, conversational history, and context windows;
- Build production-grade data retrieval and integration systems;
- Optimize vector indexing, document chunking, and re-ranking algorithms for high-precision context retrieval;
- Collaborate with Data Engineers to curate Golden Datasets for agent consumption;
- Build CI/CD pipelines for AI with LLM-as-a-Judge testing;
- Leverage evaluation 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 production failures;
- Monitor token usage and latency;
- Optimize prompt density and caching strategies to maintain high performance at sustainable costs;
- Rapidly validate new ideas with state-of-the-art models;
- Refactor successful prototypes into maintainable, tested production code;
- Evaluate emerging technologies to standardize agent connectivity.
Требования:
- 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 or Agentic AI solutions;
- Experience integrating and working with LLM model APIs, including OpenAI, Azure OpenAI, Anthropic, or Gemini;
- 2+ Years of experience building with LLMs;
- Deep familiarity with LangChain, LangGraph, or similar state-based frameworks;
- Experience with Pinecone, Weaviate, or pgvector;
- Knowledge of advanced prompt engineering techniques, including Chain-of-Thought, ReAct, and Few-Shot;
- Experience operating AI applications in production, including handling rate limits, context window overflows, and non-deterministic errors;
- Ability to explain probabilistic software to non-technical stakeholders and manage expectations about agent accuracy and usefulness;
- Excellent communication skills, including documenting technical designs, sharing insights, and enabling team knowledge transfer.
Условия:
- Remote work is available across Bulgaria, Croatia, Egypt, Germany, India, Poland, Portugal, Spain, and the United Kingdom;
- Equal opportunity employer with an emphasis on equity, diversity, and inclusion;
- Benefits support employee well-being and professional growth.