PASHA Real Estate Group21 oktyabr 2026 yerləşdirilib

Applied AI Engineer (LLM/AI Agents)

Vakansiya haqqında

Design, develop, and deploy AI-powered assistants (“agents”) to support business functions such as legal, procurement, and construction
Build and maintain LLM-based applications using external APIs (e.g., OpenAI, Anthropic), ensuring scalability and reliability
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for accurate and context-aware document analysis
Process, structure, and extract insights from unstructured data sources, including contracts, PDFs, Excel files, and emails
Collaborate with business stakeholders to identify high-impact use cases and translate them into practical AI solutions
Rapidly prototype and iterate AI tools, delivering working solutions within short development cycles
Continuously improve AI output quality by reducing hallucinations and enhancing accuracy and consistency
Integrate AI solutions with internal data pipelines and systems in collaboration with data engineering teams
Ensure proper documentation, maintainability, and scalability of developed AI applications
Monitor performance and usage of AI tools, incorporating user feedback to drive improvements and adoption
Stay up to date with advancements in LLMs and AI tools, and apply relevant innovations to business use cases
Contribute to establishing best practices, standards, and governance for AI development within the organization

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
2–5 years of experience in software engineering, AI/ML engineering, or applied AI roles
Proven experience building and deploying real-world AI/LLM applications (beyond academic or tutorial projects)
Hands-on experience working with large language models (LLMs) and related frameworks (e.g., LangChain, LlamaIndex, or similar)
Experience working with unstructured and semi-structured data (documents, PDFs, Excel files, emails)
Strong experience in developing end-to-end solutions, from data processing to application delivery
Experience integrating APIs and working with external services
Familiarity with data pipelines and collaboration with data engineering teams
Exposure to cloud environments (AWS, Azure, or GCP) and modern development practices
Experience working in fast-paced, delivery-oriented environments with a focus on practical outcomes
Demonstrated ability to work on ambiguous problems and translate business needs into technical solutions
Strong programming skills in Python, with ability to write clean, maintainable, and production-ready code
Hands-on experience with large language model (LLM) APIs (e.g., OpenAI, Anthropic) and building LLM-based applications
Prompt engineering