Remote Generative AI Engineer

Job Description

This is a remote position.

Are you passionate about harnessing Generative AI to create innovative, high-impact applications? We’re seeking a Generative AI Engineer with strong expertise in prompt engineering , long-context summarization , and retrieval-augmented generation (RAG) systems.

Join our team in a fully remote, full-time role focused on developing and deploying advanced generative AI solutions.

Responsibilities :

Create reusable, guard-railed prompt patterns and libraries that produce consistent, high-quality outputs across diverse generative tasks.

Investigate and compare long-context summarization strategies , analyzing trade-offs between quality, latency, and cost across varying context lengths.

Design, build, and evaluate embedding and RAG systems , including retrieval strategies and metrics for assessing answer faithfulness and hallucination rates.

Collaborate with data and engineering teams to curate and manage datasets for generative model training, fine-tuning, and evaluation.

Implement and refine fine-tuning pipelines to adapt models to project-specific domains and performance goals.

Work with product and engineering teams to integrate generative models into production applications, ensuring scalability and robustness.

Document and share findings from experiments, prompting strategies, and model optimizations to drive internal best practices.

Stay current with advancements in LLM architectures , prompting frameworks, and generative AI research trends.

Requirements :

3+ years of hands-on experience with Generative AI , including LLMs, embeddings, and RAG systems.

Proven ability to design and systematize LLM prompting patterns that are reusable, structured, and high-performing.

Strong understanding of long-context summarization techniques and experience evaluating trade-offs across context sizes.

Hands-on experience building and optimizing embedding-based retrieval pipelines and evaluating answer accuracy and hallucination rates .

Strong proficiency in Python for both rapid prototyping and production-ready pipeline development.

Familiarity with MLOps principles and best practices for model deployment and monitoring.

Bachelor’s or Master’s degree in Computer Science, AI, Data Science , or a related field.

Preferred Qualifications :

Familiarity with AWS or other cloud environments for running LLM experiments.

Experience with vLLM or similar frameworks for efficient inference.

Understanding of quantization (INT8 / FP8) and KV-cache strategies for optimizing performance.

Experience with LLM orchestration frameworks (e.g., LangChain , LlamaIndex ) and vector databases (e.g., Pinecone , FAISS , Weaviate ).

Awareness of ethical considerations and responsible AI development practices.

The secret ingredients that make us special :

• Your growth is our growth. We invest in your future with paid training and other professional opportunities.
• We’re industry innovators at the forefront of change. Equipped with the latest technologies and a team of knowledgeable colleagues by your side, you’ll embrace new and interesting challenges.
• Your location. Your schedule — Pick your time zone, choose your preferred hours, and work from the place where you feel most at home.
• Flexibility and freedom are in our DNA! As long as you have a stable internet connection and the drive to thrive, you can travel and work from anywhere you like.
• A workload you can rely on. We’ll set you enough tasks to keep that mind busy! At Scopic, we’ll ensure you always have a consistent flow of engaging, challenging work to do.
• Recognition and reward. We acknowledge diligence and hard work through annual pay increases for good performance.

Down to business!

Our values :

Scopic is an equal-opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, marital status, national origin, gender, veteran status, sexual orientation, age, or disability status.

Have the skills, the drive, and the passion to join the Scopic family?

Apply today to join our growing team of remote professionals from around the world.

TERMS OF APPLICATION

Attention Job Seekers : Please be aware that scammers may be fraudulently using our company's name in hiring scams. To ensure your safety, all legitimate communication regarding job opportunities from our company will only come from email addresses ending with @scopicsoftware.com . Please exercise caution and report any suspicious activity to our official channels.

Requirements

Requirements : 3+ years of experience working with Generative AI, including large language models, image synthesis, and prompt engineering. Expertise in designing, testing, and optimizing prompts to achieve high-quality model outputs. Strong background in data engineering for generative AI, including data curation, cleaning, and augmentation techniques. Proficiency in Python and experience with generative AI libraries and frameworks like OpenAI, Hugging Face, or similar. Familiarity with techniques for fine-tuning large generative models (e.g., GPT, DALL-E) for specific applications. Understanding of MLOps practices for managing and deploying models in production. Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. Preferred Qualifications : Experience with prompt engineering for various generative applications, including text, image, and audio. Knowledge of ethical considerations in Generative AI and responsible AI practices. Familiarity with cloud-based environments (AWS, GCP) for large-scale data handling and model deployment. Experience with data versioning and tracking tools such as DVC or similar.