[Remote] Lead AI Engineer (Contract W2)
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
Company H1B Sponsorship