Our client, a IT Services and Consulting company, is looking for a Lead Gen AI/Agentic AI Engineer for their Charlotte, NC/Hybrid location.
Responsibilities:
Develop MVP User Stories (Re-usable components/etc.)
Support backlog creation, prioritization, and Story mapping
Support in technical design and solutioning
Requirements:
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
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.
Additional Skills & Expertise -
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.
10+ years of experience in ML, NLP, AI system design with 1-2 years in Gen AI or Agentic AI (preferably 12-15 yrs)
Years of Experience: 10.00+ Years of Experience
Skills: