Note: The job is a remote job and is open to candidates in USA. Dice is seeking a highly experienced Lead AI Engineer to revolutionize business operations through advanced AI technologies. This role involves leading the design, development, and deployment of next-generation intelligent applications and autonomous agents, with a focus on Generative AI and AWS Machine Learning ecosystems.

Responsibilities

• Develop MVP User Stories (Re-usable components/etc.)
• Support backlog creation, prioritization, and Story mapping
• Support in technical design and solutioning
• Ability to work across tiers – APIs, databases (basic developer tasks)
• Ability to utilize DevOps CI/CD pipeline, create/configure build and deploy jobs
• Experience working in XP and pair programming model and understands and performs TDD
• Responsible for assigned task delivery and quality and knowledge transfer through daily pairing
• Must be able to clearly communicate with team members and leadership
• Participate in paired programming and XP development
• Strong ability to work independently when required
• Turn complex ideas into manageable pieces of work
• Hands-on, Individual contribution and Mentor other developers in team
• Support team members on troubleshooting
• Overall ownership of team delivery

Skills

• 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
• Practical experience with foundational models (e.g., Anthropic Claude, Stability AI, Llama variants), including prompt engineering, fine-tuning, and safety mechanisms
• Advanced proficiency in Python and its data science stack (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
• Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or RDS Vector Store for RAG implementations
• Proven experience with orchestration tools like LangChain and LlamaIndex for building autonomous agents
• Proficient in Terraform and Terraform Enterprise for scalable, automated infrastructure provisioning
• Experienced with Concourse and GitHub Actions for continuous integration and deployment workflows
• Hands-on experience with Apache Iceberg and a strong understanding of medallion architecture principles
• Skilled in building and optimizing Data Lakehouse solutions using open table formats to enhance performance and scalability
• 10+ years of experience in ML, NLP, AI system design with 1-2 years in Gen AI or Agentic AI (preferably 12-15 yrs)

Company Overview

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