Note: The job is a remote job and is open to candidates in USA. Lorven Technologies Inc. is looking for a Lead Gen AI/Agentic AI Engineer. The role requires extensive experience in AI and AWS services, focusing on developing and maintaining generative AI models and infrastructure.
Responsibilities
- AWS Proficiency: Extensive hands-on experience with Amazon Bedrock, Agent Core Platform, AWS Strands, SageMaker, S3, Lambda, API Gateway, SQS/SNS, and other core AWS services like Redshift, Aurora Postgres, Glue, EMR, Lambda, Step Functions, CloudWatch
- Generative AI Mastery: Practical experience with foundational models (e.g., Anthropic Claude, Stability AI, Llama variants), including prompt engineering, fine-tuning, and safety mechanisms
- Programming Skills: Advanced proficiency in Python and its data science stack (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
- Vector & Database Systems: Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or RDS Vector Store for RAG implementations
- Agentic Frameworks: Proven experience with orchestration tools like LangChain and LlamaIndex for building autonomous agents
- Infrastructure as Code: Proficient in Terraform and Terraform Enterprise for scalable, automated infrastructure provisioning
- CI/CD Pipelines: Experienced with Concourse and GitHub Actions for continuous integration and deployment workflows
- Data Lakehouse Engineering: Hands-on experience with Apache Iceberg and a strong understanding of medallion architecture principles
- Open Table Formats: Skilled in building and optimizing Data Lakehouse solutions using open table formats to enhance performance and scalability
- Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Skills
- Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience
- AWS Proficiency: Extensive hands-on experience with Amazon Bedrock, Agent Core Platform, AWS Strands, SageMaker, S3, Lambda, API Gateway, SQS/SNS, and other core AWS services like Redshift, Aurora Postgres, Glue, EMR, Lambda, Step Functions, CloudWatch
- Generative AI Mastery: Practical experience with foundational models (e.g., Anthropic Claude, Stability AI, Llama variants), including prompt engineering, fine-tuning, and safety mechanisms
- Programming Skills: Advanced proficiency in Python and its data science stack (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
- Vector & Database Systems: Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or RDS Vector Store for RAG implementations
- Agentic Frameworks: Proven experience with orchestration tools like LangChain and LlamaIndex for building autonomous agents
- Infrastructure as Code: Proficient in Terraform and Terraform Enterprise for scalable, automated infrastructure provisioning
- CI/CD Pipelines: Experienced with Concourse and GitHub Actions for continuous integration and deployment workflows
- Data Lakehouse Engineering: Hands-on experience with Apache Iceberg and a strong understanding of medallion architecture principles
- Open Table Formats: Skilled in building and optimizing Data Lakehouse solutions using open table formats to enhance performance and scalability
- Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Company Overview
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