AI Specialist Engineer

Response Informatics Limited.

Reading

Vor Ort

GBP 90.000 - 150.000

Vollzeit

vor 2 Stunden
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Zusammenfassung

Response Informatics Limited seeks an experienced software engineer to design and build GenAI solutions for complex business needs in Reading. You will work across LLMs, RAG, and prompt engineering to deliver automation and orchestration capabilities.

The role requires 7+ years in software engineering with 2+ years in AI/ML/GenAI, plus hands-on experience with LangChain, LlamaIndex or similar. On-site collaboration with cross-functional teams is essential.

Qualifikationen

  • 7+ years software engineering experience.
  • 2+ years hands-on in AI/ML & GenAI solutions.
  • Experience with LangChain, LlamaIndex, CrewAI, or similar.
  • Knowledge of RAG, vector databases, and semantic search.
  • Experience with APIs, microservices, and cloud-native architecture.

Aufgaben

  • Design and build GenAI solutions (LLMs, RAG, prompt engineering) for business use cases.
  • Develop Agentic AI systems for automation and orchestration.
  • Build and deploy ML models for real-world business use cases.
  • Collaborate with cross-functional teams and mentor others.
  • Work with AWS services for deployment and scalability.

Kenntnisse

Software engineering
AI/ML
GenAI
LangChain
LlamaIndex
CrewAI
RAG
vector databases
semantic search
APIs & microservices
cloud-native architecture

Jobbeschreibung

  • Design and build GenAI solutions (LLMs, RAG, prompt engineering)
  • Develop Agentic AI systems for automation and orchestration
  • Build and deploy ML models for real-world business use cases
  • Work with AWS (Bedrock, SageMaker, Lambda, ECS/EKS, etc.)
  • Drive AI innovation, POCs, and enterprise transformation initiatives
  • Collaborate with cross-functional teams and mentor others
What We’re Looking For
  • 7+ years software engineering experience
  • 2+ years hands-on in AI/ML & GenAI solutions
  • Experience with LangChain, LlamaIndex, CrewAI, or similar
  • Knowledge of RAG, vector databases, and semantic search
  • Experience with APIs, microservices, and cloud-native architecture
Nice to Have
  • AWS certifications (ML / Architect)
  • Experience with MLOps, CI/CD, Responsible AI
  • Exposure to multi-agent systems & AI governance
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