Posted May 24, 2026
We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices. ## Job responsibilities
Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices. - Solid grasp of software design principles and ability to design and implement AI-powered components or workflows. - Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2). - Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate). - Familiarity with deploying AI solutions on major cloud platforms (AWS, Azure or GCP), with basic use of containers (Docker) and CI/CD pipelines. - Experience using LLMOps and observability tools (e.g., Langfuse, PromptLayer, OpenTelemetry) in production. - Exposure to fine-tuning and use of ML/NLP frameworks such as PyTorch or Hugging Face Transformers. ### Professional Skills
Ability to independently solve complex, ambiguous technical problems. - Willingness and ability to guide and mentor junior engineers, sharing knowledge and best practices. - Strong collaborative skills, working effectively with diverse, cross-functional teams. - Thrives in a dynamic and fast-paced environment, demonstrating resilience in the face of challenges.
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