<p>Senior Specialist - Data Sciences</p> <p>Job Title<</p> <p><</p> <p>GenAI Engineer Applied AI Engineer LLM Agent Systems<</p> <p>Location<</p> <p>Onsite Charlotte NC Addison TX Jersey City NJ<</p> <p>Candidate must be willing to work onsite remote is not an option<</p> <p>Role Summary<</p> <p>We are seeking a highly skilled GenAI Engineer to design build and operationalize nextgeneration AI solutions leveraging Large Language Models LLMs AI agents RetrievalAugmented Generation RAG architectures and scalable cloud platforms This role requires strong handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into productiongrade AI systems</p> <p>Key Responsibilities<</p> <p>GenAI LLM Engineering<</p> <p>Design develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LLMs<</p> <p>Build LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflows<</p> <p>Implement and optimize agent frameworks LangChain LlamaIndex Semantic Kernel AutoGen CrewAI etc<</p> <p>Engineer robust prompting strategies memory mechanisms and toolaugmented reasoning<</p> <p>RAG Knowledge Systems<</p> <p>Design and implement RetrievalAugmented Generation RAG architectures<</p> <p>Build embedding pipelines using vector databases FAISS Pinecone Weaviate Azure AI Search Chroma<</p> <p>Optimize document ingestion chunking strategies metadata management and reranking<</p> <p>Ensure accuracy relevance and performance of AIgenerated responses<</p> <p>Machine Learning Model Integration<</p> <p>Apply practical ML concepts including classification clustering ranking and similarity search where applicable<</p> <p>Integrate traditional ML models with LLMbased systems for hybrid AI solutions<</p> <p>Evaluate finetune and test models using appropriate performance metrics<</p> <p>Data Engineering Pipelines<</p> <p>Develop and maintain data pipelines for structured and unstructured data using Python and SQL</p> <p>Work with large datasets APIs and streamingbatch processing frameworks</p> <p>Ensure data quality lineage observability and governance within AI workflows</p> <p>MLOps CICD Productionization</p> <p>Build CICD pipelines for AI and ML workloads including model versioning and automated testing</p> <p>Deploy AI services in containerized environments Docker Kubernetes</p> <p>Implement monitoring for model performance drift latency and cost</p> <p>Ensure security access control and compliance for AI systems</p> <p>Cloud Platform Engineering</p> <p>Design and deploy AI solutions on cloud platforms such as AWS Azure or GCP</p> <p>Leverage managed AIML services serverless components and scalable infrastructure</p> <p>Optimize cost performance and reliability of AI workloads</p> <p>Collaboration Stakeholder Engagement</p> <p>Partner with product platform and business teams to translate requirements into AI solutions</p> <p>Document architectures design decisions and operational runbooks<</p> <p>Provide guidance on GenAI best practices risks and responsible AI usage<</p> <p>Required Skills Experience<</p> <p>Core Technical Skills<</p> <p>Strong proficiency in Python and working knowledge of SQL<</p> <p>Solid foundation in AIML concepts with handson experience deploying models<</p> <p>Proven experience with LLMs AI agents and agent frameworks<</p> <p>Handson expertise with RAG architectures and vector databases<</p> <p>Experience implementing CICD pipelines for AI or ML systems<</p> <p>Strong understanding of data pipelines and distributed data processing<</p> <p>Experience working on at least one major cloud platform AWS Azure or GCP<</p> <p>Preferred Good to Have<</p> <p>Experience finetuning LLMs LoRA PEFT RLHF concepts<</p> <p>Familiarity with evaluation frameworks for GenAI hallucination testing grounding latency benchmarks<</p> <p>Exposure to governance security and compliance considerations for enterprise AI<</p> <p>Background in domains such as BFSI healthcare or regulated industries<</p> <p>Education<</p> <p>Bachelors or Masters degree in Computer Science Engineering Data Science or a related field or equivalent practical experience<</p> <p>What Success Looks Like<</p> <p>Scalable reliable GenAI solutions deployed to production<</p> <p>Wellarchitected AI agents delivering measurable business value<</p> <p>Highquality explainable and maintainable AI systems<</p> <p>Strong collaboration across engineering data and business teams</p> <p>Addison - Texas - USA8 - 13 Years10R Addison - Texas - USA09-Apr-2026NACTIVE1455003</p> <p>Mandatory Skills : GenAI - LLMOps, LLMOps</p>