Our client is looking for a Lead Gen AI/Agentic AI Engineer in Remote below is the detailed requirements.
Job title: Lead Gen AI/Agentic AI Engineer
Location: Remote
Duration: Long term
Job Description:
• 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.