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InnovationTeam
AI

Senior Generative AI (Gen AI) Engineer

InnovationTeam · Remote, MA

Actively hiring Posted 4 months ago

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.

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.
  • 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).

Preferred qualifications

  • 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.

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.

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Fulltime Remote Ai Ai Engineer Generative Ai
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