Agentic AI Engineer

Job Title

Agentic AI Engineer

4+ Years

• Hands‑on with agent frameworks such as Semantic Kernel, Lang Graph, Lang Chain Agents or CrewAI
• Proficiency in Python and modern AI/ML frameworks, AWS
• Hands‑on with Bedrock Agent Core Memory, Gateway, and Runtime
• Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)

Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.

• Strong technical depth, a passion for building, work streams in a fast-paced, innovation-driven environment
• Build serverless agentic product architectures and features on AWS using Bedrock Agent Core Memory, Gateway, Identity, Interpreter, Observability and Runtime
• Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
• Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
• Instrument agents with Cloud Watch metrics, spans, and traces; enable audits
• Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
• Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact

• Strong problem-solving and strategic thinking abilities
• Strong collaboration skills in research-driven environments
• Hands‑on with Bedrock Agent Core Memory, Gateway, and Runtime
• Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
• Proficiency in Python and modern AI/ML frameworks
• Proficiency in vector databases and embedding models for retrieval tasks
• Experience with Data Connectors and API gateways that support seamless communication between systems
• Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
• Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
• Hands‑on with agent frameworks such as Semantic Kernel, Lang Graph, Lang Chain Agents or CrewAI
• Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms

$100,000 to $125,000

• Discretionary Annual Incentive
• Comprehensive Medical Coverage:
  Medical and Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support:
  Maternal and Parental Leaves
• Insurance Options:
  Auto and Home Insurance, Identity Theft Protection.
• Convenience and Professional Growth:
  Commuter Benefits and Certification and Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave and Holidays.
• Legal and Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.