Gen AI Engineer

Capgemini
Hanover, United States of America
19 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 131K

Job location

Hanover, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Application Frameworks
Cloud Engineering
Computer Programming
Databases
Continuous Integration
Data Infrastructure
ETL
DevOps
Event-Driven Programming
Identity and Access Management
Python
Object-Oriented Software Development
Performance Tuning
Unstructured Data
Management of Software Versions
Data Logging
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Backend
Build Management
Data Lake
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Virtual Agents
GPT
Data Pipelines
Automation Anywhere
Microservices

Job description

  • 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

Requirements

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

Benefits & conditions

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.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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