AI Developer
tech
Job Description
Responsibilities
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Design, plan, and implement AI, Generative AI, and Agentic-AI architectures for customer projects
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Develop custom end-to-end GenAI and LLM-based solutions, using frameworks such as LangChain, LangGraph, AutoGen, HuggingFace, and OpenAI APIs
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Implement and operate machine learning systems using TensorFlow, PyTorch, and modern LLM/ML tooling
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Build and manage cloud-based AI ecosystems on AWS, Azure, or GCP, including architecture design and platform operations
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Apply DevOps/MLOps and LLMOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows
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Collaborate closely with enterprise architects, engineering teams, and C-level stakeholders to align AI roadmaps and solution strategies
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Evaluate and introduce new AI technologies, frameworks, and agentic tools to expand the organization’s (Gen)AI capabilities
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Lead the technical execution of proof-of-concepts (PoCs) in an agile environment
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Provide strategic consulting on cloud-native, scalable, and secure AI platform architectures
Requirements
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Degree in (Business) Computer Science, Engineering, or a comparable technical field
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5+ years of experience as a Solutions Architect or Enterprise Architect in cloud/data environments
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Proven experience developing and integrating LLM or Generative AI solutions into production systems
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Hands-on project experience designing complex cloud architectures on AWS, Azure, or GCPStrong knowledge of AI/ML development with Python and major ML frameworks (TensorFlow, PyTorch, HuggingFace)
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Practical experience with agentic AI frameworks (e.g., LangGraph, AutoGen) and LLM orchestration tools
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Experience with MLOps, DevOps, and container technologies such as Docker and Kubernetes; familiarity with CI/CD for ML models
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Understanding of architecture frameworks and agile methods (Scrum, Kanban)
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Excellent English communication skillsWillingness to travel, depending on project requirements
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