Senior Generative AI Engineer
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Job Description
Senior Generative AI Engineer at InnovationTeam developing large-scale AI-driven solutions for enterprises. Collaborating with cross-functional teams to deliver production-ready AI systems.
Responsibilities:
- Design, develop, and optimize Generative AI solutions (LLMs, RAG systems, 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 (RAG) using vector databases and knowledge stores.
- Integrate GenAI solutions with existing systems via APIs and microservices.
- Optimize model performance, latency, and cost on cloud platforms (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 up to date with the latest developments in GenAI, 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 (LLMs) (e.g., GPT, LLaMA, Mistral, etc.).
- Hands-on experience with Python and AI/ML frameworks (PyTorch, TensorFlow).
- Solid understanding of NLP, deep learning, and transformer architectures.
- Experience with RAG architectures, vector databases (FAISS, OpenSearch, Pinecone, etc.).
- Strong software engineering skills (APIs, REST, microservices, Docker, Kubernetes).
- Experience deploying AI workloads on cloud platforms (OCI preferred).
- Excellent problem-solving and analytical skills.
- Excellent command of English (written and spoken).
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