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Senior Generative AI (Gen AI) Engineer

5 months, 3 weeks ago
India, Tunisia, Jordan, Malaysia, Pakistan, Morocco
Full-time
Senior
AI Engineer
Software Development
AWS Azure Deep Learning Docker GCP Generative AI Java Kubernetes LLM Machine Learning Microservices MLOps NLP OpenSearch Python PyTorch REST API Ruby TensorFlow
Apply Now
Innovation Team

Innovation Team

Innovation Team provides specialized IT consulting services designed to enhance business performance and operational efficiency across various industries, leveraging a dedicated team of professionals and strategic partnerships to deliver timely and eff...

Internet Software & Services
51-250
Founded 2009
View All Jobs 7

Description

  • Design, develop, and optimize generative AI solutions, including LLMs, RAG systems, and AI agents.
  • Fine-tune, evaluate, and deploy large language models for enterprise use cases.
  • Build and maintain end-to-end AI pipelines from data ingestion to inference.
  • Implement retrieval-augmented generation solutions using vector databases and knowledge stores.
  • Integrate GenAI solutions with existing systems through APIs and microservices.
  • Optimize model performance, latency, and cost across cloud platforms such as OCI, AWS, Azure, or GCP.
  • Collaborate with product, data, and engineering teams to translate business needs into AI solutions.
  • Ensure AI solutions follow best practices in security, governance, and responsible AI.
  • Stay current with developments in generative AI, LLMs, and AI tooling.

Requirements

  • Minimum 5 years of professional experience in AI / Machine Learning.
  • Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
  • Proficiency in programming languages such as Python, Java, and Ruby.
  • Strong experience with large language models such as GPT, LLaMA, and Mistral.
  • Hands-on experience with Python and AI/ML frameworks such as PyTorch and TensorFlow.
  • Solid understanding of NLP, deep learning, and transformer architectures.
  • Experience with RAG architectures and vector databases such as FAISS, OpenSearch, and Pinecone.
  • Strong software engineering skills with APIs, REST, microservices, Docker, and Kubernetes.
  • Experience deploying AI workloads on cloud platforms, with OCI preferred.
  • Excellent problem-solving and analytical skills.
  • Excellent command of English, both written and spoken.
  • Experience with GPU-based training and inference is preferred.
  • Familiarity with MLOps / LLMOps practices is preferred.
  • Experience in regulated or enterprise environments is preferred.
  • Knowledge of AI governance, ethics, and compliance frameworks is preferred.

Benefits

  • Opportunity to work on cutting-edge Generative AI projects.
  • Collaborative, innovation-driven environment.
  • Competitive compensation package.
  • Access to modern AI infrastructure and cloud resources.
  • Professional growth and learning opportunities.
  • Flexible and inclusive work environment.

Interested in this position?

Apply directly on the company website

Apply Now

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