Senior Generative AI (Gen AI) Engineer

Senior Generative AI (GenAI) Engineer Description InnovationTeam is a forward-thinking technology company that specializes in delivering advanced AI-driven solutions to enterprises and government organizations. We are currently seeking a highly skilled Senior Generative AI (GenAI) Engineer to join our AI team. As a Senior GenAI Engineer at InnovationTeam, you will be responsible for designing, developing, and deploying large-scale generative AI solutions. You will work closely with cross-functional teams to translate business and technical requirements into robust AI systems and bring them into production. This role requires deep expertise in modern AI architectures, large language models, and production-ready software engineering practices. The ideal candidate is highly motivated, detail-oriented, and capable of owning AI solutions end to end. At InnovationTeam, we value innovation, collaboration, and continuous learning. We provide a flexible and inclusive work environment where your expertise is recognized and opportunities for professional growth are continuously supported. Role Overview We are seeking a skilled AI Engineer with a strong focus on Generative AI technologies to develop, optimize, and deploy AI Agents and solutions. The role involves working on real-world use cases and data analytics problems and delivering production-ready AI systems. Key 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. Required Skills & Qualifications · 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). Nice to Have · Experience with GPU-based training and inference. · Familiarity with MLOps / LLMOps practices. · Experience in regulated or enterprise environments. · Knowledge of AI governance, ethics, and compliance frameworks. What We Offer · 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.

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).

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.