Compunnel Inc.
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 systems Chunking techniques and embedding strategies MLOps tools MLflow Docker CICD pipelines Experience with prompt engineering model evaluation Mandatory Familiarity with Agentic Systems and Multiagent Orchestration Technical Soft Skills Expertise Level Expert Good Knowledge Python Expert AI Solutions Expert Azure Cognitive Solutions Good SDLC Lifecycle Good Partner Client Communications Expert Desired Skills
Technical Soft Skills Expertise Level Expert Good Knowledge Seniority level
Associate Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Compunnel Inc. by 2x
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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 systems Chunking techniques and embedding strategies MLOps tools MLflow Docker CICD pipelines Experience with prompt engineering model evaluation Mandatory Familiarity with Agentic Systems and Multiagent Orchestration Technical Soft Skills Expertise Level Expert Good Knowledge Python Expert AI Solutions Expert Azure Cognitive Solutions Good SDLC Lifecycle Good Partner Client Communications Expert Desired Skills
Technical Soft Skills Expertise Level Expert Good Knowledge Seniority level
Associate Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Compunnel Inc. by 2x
#J-18808-Ljbffr