Direct message the job poster from Compunnel Inc.
We are seeking a forward-thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced chunking strategies. This role is ideal for engineers passionate about building scalable production grade AI applications that leverage cutting edge retrieval and generation techniques.
Role Description
- Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
- Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding
- Finetune and evaluate LLMs e.g. GPT LLaMA Ollama for tasks such as QA summarization NER and sentiment analysis
- Build multi agentic systems
- Integrate AI capabilities into enterprise applications using Azure OpenAI Cognitive Search Azure Functions and Power Automate
- Collaborate with stakeholders to translate business needs into scalable AI solutions
- Ensure model reliability performance and ethical compliance across deployments
Skills
8 to 12 years of experience as Full stack developer with at least 2 to 4 years in generative AI or RAG systemsChunking techniques and embedding strategiesMLOps tools MLflow Docker CICD pipelinesExperience with prompt engineering model evaluationMandatory Familiarity with Agentic Systems and Multiagent OrchestrationTechnical Soft Skills Expertise Level Expert Good KnowledgePython ExpertAI Solutions ExpertAzure Cognitive Solutions GoodSDLC Lifecycle GoodPartner Client Communications ExpertDesired Skills
Technical Soft Skills Expertise Level Expert Good KnowledgeSeniority level
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