
AI Engineer
14 hours ago
We are seeking a highly skilled
AI Engineer
to design and implement intelligent, agentic AI systems capable of autonomous decision-making and task execution. The ideal candidate will have hands-on experience building and scaling AI-powered microservices, integrating advanced ML models, and applying best practices for large-scale distributed systems.
Responsibilities
Design and deploy AI solutions that leverage reasoning, planning, and interaction capabilities.
Build and scale AI microservices with clean, scalable code architecture (FastAPI, Flask, asyncio).
Integrate APIs and inter-service communication (REST, Kafka).
Implement authentication and authorization mechanisms (OAuth2, JWT, Azure AD).
Deliver ML/AI solutions to production, ideally in document understanding, NLP, or search/retrieval systems.
Apply practical knowledge of RAG architectures, LLMs (OpenAI, Anthropic), vector databases (FAISS, Azure AI Search), and embeddings.
Use advanced NLP techniques such as NER, document classification, summarization, and question answering.
Evaluate trade-offs to select the best ML/AI techniques for specific problems.
Rapidly prototype and iterate PoCs for AI applications.
Work with agentic AI frameworks such as LangChain, LlamaIndex, or similar.
Debug, profile, and optimize AI applications for performance and scalability.
Qualifications
Strong Python expertise with focus on microservices and scalable architecture.
Proven track record of deploying at least two ML/AI solutions to production.
Practical experience with LLMs, embeddings, and vector databases.
Solid understanding of NLP techniques and their application in real-world systems.
Familiarity with distributed systems and communication patterns.
Strong debugging and optimization skills.
Nice to have
Experience with OCR technologies such as Tesseract or Azure Form Recognizer.
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