About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.
About the Role:
We are seeking a skilled Generative AI Engineer with hands-on experience in designing and deploying Gen AI or AI Agent solutions in production environments. The ideal candidate will have strong Python fundamentals and a solid understanding of AWS or Azure cloud-based AI services.
Key Responsibilities:
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Design, develop, and deploy Generative AI and Agent-based solutions in production.
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Fine-tune, evaluate, and integrate LLMs and multi model models for business applications.
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Build and manage AI workflows leveraging AWS or Azure cloud services.
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Collaborate with data, ML, and product teams to operationalize AI capabilities.
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Optimize performance, reliability, and scalability of deployed AI systems.
Required Skills & Experience:
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Atleast 2–3 years of experience in AI/ML development, with a focus on Generative AI.
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Proven track record of implementing production-grade Gen AI or Agent solutions.
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Strong proficiency in Python and familiarity with orchestration frameworks like LangChain, LlamaIndex, or similar.
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Experience with vector databases, and embedding models.
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Cloud experience with AWS (SageMaker, Bedrock) or Azure (OpenAI, AI Studio, Cognitive Services).
Understanding of prompt engineering, RAG pipelines, and evals.
Preferred / Good to Have:
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Exposure to Azure AI Foundry or AWS AgentCore.
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Familiarity with MLOps and CI/CD pipelines for AI.