Senior Generative AI Engineer

Job not on LinkedIn

🕒 February 15

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

InnovationTeam

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🔌 API

Enterprise • SaaS • API

InnovationTeam is a company specializing in enterprise digital transformation, government transformation, process excellence, and system integration. With expertise in digital enterprise solutions, API management, and integration, they have been working with Apigee since 2018. InnovationTeam develops workflows, automation, mobile applications, and eCommerce platforms for both consumer and employee use, utilizing technologies like Pega. Their services also include cloud, data, and AI solutions aimed at scalability, cost efficiency, and enhanced collaboration. InnovationTeam is committed to delivering complex projects on-time and with high quality, focusing on business outcomes. They have a strong team of over 350 experts and pride themselves on training local talent, aligning with Vision 2030.

📋 Description

• 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).