Artificial Intelligence Engineer

MUST HAVE JD SKILLS as below

Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka)

Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD)

At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems

Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector databases (e.g., FAISS, Azure AI Search), Embeddings (e.g., OpenAI)

Strong grasp of NLP techniques: named entity recognition (NER), document classification, chunking, summarization, question answering.

Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem.

Experience with PoC development and iterating quickly based on results.

Familiarity with LangChain, LlamaIndex, or similar agentic frameworks.

Strong debugging, profiling, and optimization skills for AI applications.

GOOD TO HAVE JD SKILLS as below

Experience with OCR libraries like Tesseract or Azure Form Recognizer.