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
Key Responsibilities:
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
Handson experience with:
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
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.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
