Gen AI Lead

American IT Systems

Job Location:

Beerse - Belgium

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title - Gen AI Lead

Location - Beerse Belgium

Duration - 6 Months contract

100% Onsite role at Beerse Belgium

Must have 10 years of experience. Mostly in Data science AI ML GenAI and NLP technologies.
At least 2 years in GenAI application development
Experts in problem solving developing technical solutions
Must have experience with Agentic AI frameworks LangGraph LlamaIndex Function calling Chain of thoughts MCP Tools register intent based routing etc.
Expert in using paid (OpenAI on Azure Bedrock in AWS other leading one) and open source LLMs VLM SLM etc
Expert in RAG CAG Knowledge Graph RAG RAG Fusion Agents MCP NLQ to SQL etc.
Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
Experience with multiple leading Vector DB chunking strategies Graph DB (Neo4J)
DAR for applying best solution for problem statements
Experience in multi Agents system development Agentic AI
Experience with Python programming language. Should know other languages too
Ability to develop Python code efficiently FastAPI
Solid understanding of Model development model serving training/re-training techniques in a data sparse environment.
Enforce reusable component development and sharing across solutions
Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments
Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM.
Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
Experience developing Guardrails for LLMs both with open source and cloud native models.
Collaborate with software engineers to deploy and optimize generative models in production environments considering factors such as scalability efficiency and real-time performance.
Experience in RDBMS database Data Lake Postgresql
Experience on Marklogic / No SQL database
Experience on Elastic search

Job Title - Gen AI Lead Location - Beerse Belgium Duration - 6 Months contract 100% Onsite role at Beerse Belgium Must have 10 years of experience. Mostly in Data science AI ML GenAI and NLP technologies. At least 2 years in GenAI application development Experts in problem solving developing techni...

Job Title - Gen AI Lead

Location - Beerse Belgium

Duration - 6 Months contract

100% Onsite role at Beerse Belgium

Must have 10 years of experience. Mostly in Data science AI ML GenAI and NLP technologies.
At least 2 years in GenAI application development
Experts in problem solving developing technical solutions
Must have experience with Agentic AI frameworks LangGraph LlamaIndex Function calling Chain of thoughts MCP Tools register intent based routing etc.
Expert in using paid (OpenAI on Azure Bedrock in AWS other leading one) and open source LLMs VLM SLM etc
Expert in RAG CAG Knowledge Graph RAG RAG Fusion Agents MCP NLQ to SQL etc.
Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
Experience with multiple leading Vector DB chunking strategies Graph DB (Neo4J)
DAR for applying best solution for problem statements
Experience in multi Agents system development Agentic AI
Experience with Python programming language. Should know other languages too
Ability to develop Python code efficiently FastAPI
Solid understanding of Model development model serving training/re-training techniques in a data sparse environment.
Enforce reusable component development and sharing across solutions
Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments
Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM.
Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
Experience developing Guardrails for LLMs both with open source and cloud native models.
Collaborate with software engineers to deploy and optimize generative models in production environments considering factors such as scalability efficiency and real-time performance.
Experience in RDBMS database Data Lake Postgresql
Experience on Marklogic / No SQL database
Experience on Elastic search