Looking for Senior LLM Engineer with ML and Prompt Engineering experience. SciSpace is a product-based AI startup.AI Assistant for Research using state of the art language models (ChatGPT for Research)At SciSpace, we're using language models to automate and streamline research workflows from start to finish. And the best part? We're already making waves in the industry, with a whopping 5 million users on board as of November 2025! Our users love us too, with a 40% MOM retention rate and 10% of them using our app more than once a week! We're growing by more than 50% every month, all thanks to our awesome users spreading the word (see it yourself on Twitter). And with almost weekly feature launches since our inception, we're constantly pushing the boundaries of what's possible. Our team of experts in design, front-end, full-stack engineering, and machine learning is already in place, but we're always on the lookout for new talent to help us take things to the next level. Our user base is super engaged and always eager to provide feedback, making Scispace one of the most advanced applications of language models out there.Responsibilities* Prompt Engineering Techniques (Zero-shot, few-shot, and chain-of-thought prompting)* Multi-modal prompt engineering (for models like Gemini and GPT-4 Turbo that handle text, images, etc.)* LangChain & vector databases (Qdrant, ChromaDB for RAG applications)* A/B testing & iterative prompt refinement* Performance evaluation of LLM outputs (BLEU, ROUGE, perplexity, human evaluation)* Building complex RAG pipelines from scratch* Performing experiments and deployment of agentic workflows* Building backend systems and services for AI use casesBackend Engineering Responsibilities* Work in managing products as part of SciSpace product suite.* Partner with product owners in designing software that becomes part of researchers’ livesOur ideal candidates would* Minimum of 4+ years of working on engineering projects.* Minimum of 2 years of working on Gen AI related projects.* Proven experience with LLM research and Deep Learning systems.* Hands on experience with latest state of the art models.* Strong programming skills; versatility is a plus.* Passion for tackling challenging problems.Bonus* Experience on agentic frameworks like Langgraph, crewai, autogen ag2 etc.* Knowledge of various LLM context protocols (e.g. MCP, A2A).* Prior experience working with high-volume, always-available web-applications* Knowledge of cloud platforms such as AWS, GCP, or Azure.* Experience working with Start-up is a plus point.
Job Title
Senior LLM Engineer (With ML and Prompt Engineering Experience))