AI Summary
Design, develop, and maintain GenAI and agentic solutions for a client in the automotive sector. Implement agentic architectures, build RAG pipelines, and deploy GenAI solutions in enterprise cloud environments. Ensure quality, reliability, and observability of AI services.
Key Highlights
Design and implement agentic architectures
Deploy GenAI solutions in enterprise cloud environments
Ensure quality, reliability, and observability of AI services
Key Responsibilities
Design and implement agentic architectures
Build RAG pipelines and tool-calling workflows
Deploy GenAI and Agentic solutions in enterprise cloud environments
Integrate agents with business systems via APIs
Ensure quality, reliability, and observability
Technical Skills Required
Nice to Have
Experience delivering AI solutions in automotive or industrial contexts
Exposure to LLMOps / MLOps practices
Job Description
About Reply
Reply is a leading Consulting, Systems Integration and Application Management company, specializing in the creation and implementation of solutions based on new communication networks and digital media. At Reply, you will be exposed to some of the latest technologies - like Blockchain, Artificial Intelligence, Machine Learning, Cyber Security, Big Data, Robotic Process Automation, or Cloud Computing.
At Reply, we value inclusion and diversity in all their multiplicity. So come and be yourself!!
Mission
The AI Specialist is responsible for designing, developing, and maintaining GenAI and agentic solutions for a client in the automotive sector.
The role is fully dedicated to GenAI Gateway and agentic use cases, ensuring reliable, scalable, and production-ready AI services integrated into enterprise environments.
Key Responsibilities
- Design and implement agentic architectures (single & multi-agent)
- Build RAG pipelines and tool-calling workflows
- Deploy GenAI and Agentic solutions in enterprise cloud environments
- Integrate agents with business systems via APIs
- Ensure quality, reliability, and observability
- GenAI and agentic solution development.
- AI services and API implementation.
- Model integration, prompt engineering, and agent orchestration.
- L3 support on GenAI and agentic components.
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- Python
- Agentic frameworks: Semantic Kernel, AutoGen, LangChain
- AWS: Amazon Bedrock (Agents, Knowledge Bases), AWS Lambda, ECS/EKS, IAM
- Azure: Azure OpenAI, Copilot Studio, Azure Functions, Azure API Management
- Retrieval: Azure AI Search, Amazon OpenSearch
- REST APIs, Git, CI/CD
Required Skills & Experience
Must Have
- Proven hands-on experience building agentic GenAI systems in production
- Experience implementing RAG pipelines
- Practical experience with LLM orchestration frameworks :
- AutoGen
- LangChain / LangGraph
- Hands-on usage of Azure services, including:
- Azure OpenAI Service
- Azure Functions or Azure API Management
- Entra ID (authentication / RBAC)
- Hands-on usage of AWS services, including:
- Amazon Bedrock (models, Agents or Knowledge Bases)
- AWS Lambda
- AWS IAM
- Experience deploying GenAI solutions with enterprise constraints:
- security & access control
- scalability & monitoring
- API-based integration with existing systems
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience delivering AI solutions in automotive or industrial contexts
- Exposure to LLMOps / MLOps practices (model / prompt versioning, evaluation & monitoring, CI/CD for AI services)
- Strong analytical and problem-solving mindset.
- Ability to work autonomously within distributed teams.
- Clear communication skills in an international context.
- Proactive, delivery-oriented attitude.
Reports to the Tech Lead and works closely with the Product Owner / PPO and technical specialists.
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