Agentic AI Engineer

Trident Consulting; Charlotte (NC); Hybrid; USD 75,768 - 82,656; Part time

Job summary

Trident Consulting is seeking an experienced Agentic AI Engineer for one of our clients in Charlotte, NC. This hybrid role requires a deep expertise in AI technologies, including Generative AI and advanced proficiency in AWS services.

The ideal candidate will lead the design and development of intelligent applications and autonomous agents, ensuring effective communication within the team and delivering high-quality results.

Qualifications

• 10+ years of experience in ML, NLP, AI system design with 1-2 years in Gen AI or Agentic AI.

Responsibilities

• Support backlog creation, prioritization, and Story mapping.
• Support technical design and solutioning.
• Work across tiers – APIs and databases.
• Utilize DevOps CI/CD pipeline.
• Experience in XP and pair programming, perform TDD.
• Quality task delivery and knowledge transfer.
• Communicate clearly with team and leadership.
• Participate in paired programming and XP development.
• Work independently when required.
• Mentor other developers in team.
• Support troubleshooting for team members.
• Overall ownership of team delivery.

Skills

AWS Proficiency

Generative AI Mastery

Programming Skills in Python

Familiarity with Vector & Database Systems

Experience with Agentic Frameworks

Infrastructure as Code

Experience with CI/CD Pipelines

Data Lakehouse Engineering

Skilled in Open Table Formats

Job description

Trident Consulting is seeking an Agentic AI Engineer for one of our client in Charlotte, NC (Hybrid).

Job title: Agentic AI Engineer

Location: Charlotte, NC (Hybrid)

Type: Contract (W2 Only)

Experience: 10+ Years

Rate: $55-60hr

Job Summary

We are looking for a highly experienced and driven Senior GenAI/Agentic AI Engineer to lead the design, development, and deployment of next‑generation intelligent applications and autonomous agents. This role is pivotal in revolutionizing business operations through advanced AI technologies. The ideal candidate will possess deep expertise in Generative AI, prompt engineering, agentic orchestration, and the full AWS Machine Learning and Data ecosystem.

Responsibilities

• 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.

Required Skills

• 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.
• 10+ years of experience in ML, NLP, AI system design with 1-2 years in Gen AI or Agentic AI (preferably 12-15 yrs)