AI Engineer

About the Company

Accellor is an AI-first services company built for the era beyond ChatGPT. Operating without legacy constraints, the firm focuses on measurable business results through advanced AI, data, and engineering expertise. Its goal is to put AI into action at scale and create lasting value for enterprises.

The company delivers solutions across AI, data services, enterprise applications, and product engineering. These services are customized for industries such as healthcare, life sciences, telecom, retail, financial services, and technology. By combining design thinking with technology-neutral architectures, Accellor aims to shorten delivery timelines and support smooth integration across systems.

With experience supporting Fortune 100 companies and global innovators, Accellor positions itself as a trusted partner for organizations looking to fully leverage AI. Its vision is to build intelligent, connected ecosystems that produce measurable outcomes and shape the future of enterprise transformation.

Role Overview

We are hiring multiple AI Engineers to join the Product team and contribute to the growth of the platform by building advanced capabilities for customers. The position is suited for highly motivated engineers with a strong interest in GenAI, LLM-based development, and solving real business problems through scalable AI solutions.

What You Will Do

• Develop and implement Generative AI solutions with large language models in Python to solve targeted business challenges.
• Work with internal stakeholders to identify high-value GenAI use cases and turn them into scalable technical solutions.
• Prepare, process, and evaluate unstructured data such as text and documents for training and fine-tuning models.
• Use prompt engineering, model fine-tuning, and RAG methods to improve model responses and usefulness.
• Deploy GenAI models and APIs into production while maintaining reliability, performance, and scalability.
• Support ongoing monitoring and enhancements of deployed systems based on user feedback and real-world behavior.
• Keep pace with new developments in GenAI, LLMs, and orchestration frameworks such as LangChain and LlamaIndex.
• Produce clean, maintainable, well-documented code and participate in code reviews and engineering best practices.

What We Need

• At least 2 years of relevant experience as an AI developer.
• Strong working knowledge of Python.
• Solid understanding of GenAI models such as OpenAI, Llama 2, and Mistral, including the ability to run local GPT-style setups using tools like Ollama and LM Studio.
• Practical experience with LLMs, RAG, and vector databases such as FAISS and Pinecone.
• Exposure to multi-agent frameworks for building workflows.
• Experience with LangChain or similar tools such as LlamaIndex and LangGraph.
• Familiarity with machine learning frameworks, libraries, and related tools.
• Strong analytical thinking and a solution-oriented mindset.
• Good communication and collaboration skills.
• Ability to work independently and manage time effectively.
• Experience with at least one cloud platform: AWS, GCP, or Azure.

Additional Information

This is a full-time onsite role based in Mountain View, CA. Multiple openings are available.

No stipend or salary amount was specified in the source, and no internship duration was provided.