Senior AI Engineer (Computer Vision+LLM)
Senior AI Engineer (Computer Vision+LLM)
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Job Description
We are on the lookout for a hands-on Sr. AI Engineer to join our Vendor Data Team as we push the boundaries of content understanding in real-world scenarios. This role focuses on building AI systems that can see and understand going beyond text to tackle complex visual inputs from everyday photos to noisy low-resolution images captured in uncontrolled environments.
Youll work at the intersection of computer vision and natural language processing to build multimodal AI pipelines that extract structured insights from unstructured image-based content. Your work will ship not sit in research notebooks.
We dont just build models we build autonomous adaptive systems that orchestrate reasoning take action and evaluate themselves. From OCR pipelines enhanced by LLMs to agentic workflows that make decisions and improve with feedback your code will help turn raw visual data into usable intelligence at scale and in production.
And the best about it Your role has a direct impact on making food more affordable for millions of people every day.
- Build and deploy multimodal AI pipelines combining OCR computer vision and LLMs to extract structured data from images and photos
- Design agentic AI systems that dynamically generate prompts invoke tools and make decisions based on visual content
- Develop evaluation frameworks for AI pipelines and agentic systems including synthetic simulations automated feedback loops and performance benchmarking
- Optimize OCR and visual content parsing for challenging real-world inputs using tools like Tesseract LayoutLM Donut or TrOCR
- Work closely with software engineers to seamlessly integrate AI features into our production systems. Design and maintain scalable infrastructure for LLM inference API serving and orchestration.
- Implement comprehensive logging observability and monitoring for AI applications in production to ensure reliability and performance.
Qualifications :
- 3 years of hands-on experience in applied AI/ML ideally in computer vision document/image understanding or NLP. Practical knowledge of image preprocessing (denoising deblurring segmentation) and pipeline optimization
- Experience integrating AI models into real-time or batch applications (e.g. bots assistants search).
- Strong software engineering background with experience in APIs microservices and distributed systems.
- Familiarity with vector databases (e.g. FAISS Weaviate Pinecone) embedding strategies and retrieval-augmented generation (RAG) and tools like Langfuse Grafana or OpenTelemetry for observability.
- Experience designing or contributing to AI agents evaluation systems including prompt testing output validation synthetic data generation or simulation-based evaluation.
- You are a pragmatic engineer who understands what is needed to get things done in a collaborative manner. Youre a self-organizing proactive person eager to work in a fast-paced fault-tolerant and agile environment you unblock yourself ship code quickly and iterate to improve
Additional Information :
- Familiarity with judge models human-in-the-loop feedback or agent safety validation
- Understanding of prompt engineering for visual contexts and multimodal agents
- Experience building autonomous workflows with frameworks like LangChain AutoGen or CrewAI
- Background in delivering AI-powered features inside real-world web or mobile applications
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
