Gen AI Engineer

• Design develop and deploy agentic AI solutions using Deep Agent Frameworks LangChain and LangGraph Build multiagent workflows leveraging LLMs Claude via Amazon Bedrock for reasoning orchestration and task execution
• Develop robust Python based services and pipelines for GenAI and AI driven automation use cases Integrate agents with AWS data services Glue Athena S3 etc for retrieval processing and analytics
• Implement RAG Retrieval Augmented Generation and tool enabled agent patterns Ensure solutions are scalable secure auditable and production ready
• Collaborate with data platform and product teams to translate business problems into agent based AI architectures
• Contribute to architecture decisions technical standards and reusable frameworks for GenAI and agent ecosystems
• Support model governance prompt versioning observability and performance optimization Core Technical Skills Programming Development
• Strong proficiency in Python enterprise grade production quality code
• Experience building APIs microservices and backend services for AI workloads
• Solid understanding of object-oriented design async processing and modular architectures Deep Agent LLM Frameworks

Do you have experience in Solution architecture design?, aws cloud problem - solving and communication skills ETL / Data Pipelines performance optimization DevOps & CI/CD, * We are seeking a highly skilled GenAI Agentic AI Engineer with strong Handson experience in Deep Agent Frameworks LangChain LangGraph and Claude models to design and build next generation agentic AI solutions

• The role requires deep Python expertise strong exposure to AWS native data and AI services and practical experience in building multiagent autonomous tool using AI systems for enterprise scale use cases
• The ideal candidate will have a solid foundation in Generative AI concepts experience operationalizing agents on cloud platforms and the ability to design scalable secure and explainable AI workflows, * o Deep Agent Frameworks
• o LangChain
• o LangGraph Experience building
• o Autonomous agents
• o Multiagent systems
• o Stateful and event driven agent flows
• Knowledge of agent orchestration memory planner’s tools and execution graphs Generative AI LLMs

Strong understanding of Generative AI concepts including:

• o Prompt engineering and prompt orchestration
• o Chain of thought and reasoning based approaches
• o Tool augmented LLMs
• o RAG patterns Practical experience working with Claude models via Amazon Bedrock
• Familiarity with evaluation hallucination mitigation and response quality control AWS Cloud Technologies

Strong experience with AWS services including:

• o Amazon Bedrock LLM hosting and orchestration
• o AWS Glue ETL metadata data pipelines
• o Amazon Athena querying structured unstructured data
• o Amazon S3 data lake and document stores
• Experience designing and deploying AI solutions in a cloud native environment Understanding of IAM security logging and cost optimization for AI workloads Dedicated Agentic Skillset Must-have
• The candidate must demonstrate strong agentic AI expertise including
• Experience building agents from scratch not just consuming APIs Designing agents with
• o Goal driven reasoning
• o Tool invocation
• o Memory and state management
• o Multistep task decomposition Implementing multiagent collaboration and orchestration patterns

Designing agent systems that interact with:

• o APIs
• o Databases
• o Files documents and enterprise data sources
• Familiarity with agent observability failure handling and explainability
• Ability to translate business workflows into agent-based execution plans

Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $40.45/hour - $63.20/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.