AI Engineer

About Accellor

Accellor is an AI-focused services company built for the post-ChatGPT landscape. Unburdened by older systems and approaches, the company aims to create measurable business impact through advanced capabilities in AI, data, and engineering. Its core objective is to help organizations operationalize AI at scale and generate long-term enterprise value.

The firm provides AI solutions, data services, enterprise applications, and product engineering services designed for sector-specific needs in healthcare, life sciences, telecom, retail, financial services, and technology. By combining design thinking with technology-agnostic architecture, Accellor works to reduce time-to-value and support smooth interoperability across systems.

Backed by experience with Fortune 100 organizations and global innovators, Accellor positions itself as a trusted partner for companies looking to unlock the full potential of AI and build intelligent, connected ecosystems that reshape enterprise transformation.

Role Overview

The company is hiring multiple AI Engineers for its Product team. The role is suited to candidates who are passionate about engineering and want to contribute to scaling the platform while delivering advanced capabilities to customers.

This position is focused on developing Generative AI solutions using large language models to solve practical business problems. The work will involve collaboration across functions, prompt engineering, fine-tuning, and the creation of scalable AI-powered applications. A solid background in machine learning, natural language processing, and current GenAI tools is important.

Key Responsibilities

• Create, build, and roll out GenAI solutions with large language models in Python to solve defined business problems.
• Work with stakeholders to spot GenAI use cases and turn requirements into scalable technical solutions.
• Prepare and examine unstructured content such as text and documents for training, tuning, and evaluating models.
• Use prompt design, fine-tuning, and retrieval-augmented generation techniques to improve LLM results.
• Ship GenAI models and APIs to production with attention to reliability, scale, and performance.
• Track deployed systems and refine them using feedback and usage patterns.
• Keep current with developments in GenAI, LLMs, and orchestration tools such as LangChain and LlamaIndex.
• Produce clear, maintainable, and well-documented code while taking part in code reviews and engineering best practices.

Requirements

• At least 2 years of proven experience in AI development.
• Strong hands-on programming ability in Python.
• Working knowledge of multiple GenAI models, including OpenAI, Llama 2, and Mistral, along with the ability to set up local GPT environments using tools like Ollama and LM Studio.
• Experience with LLMs, RAG workflows, and vector databases such as FAISS and Pinecone.
• Familiarity with multi-agent frameworks for building workflows.
• Experience with LangChain or comparable tools such as LlamaIndex and LangGraph.
• Understanding of machine learning frameworks, libraries, and development tools.
• Strong analytical thinking and a practical, solution-oriented mindset.
• Good communication and collaboration skills.
• Ability to work independently and manage time effectively.
• Experience with one or more cloud platforms: AWS, GCP, or Azure.

Additional Information

This is a full-time onsite role based in San Francisco, CA. Multiple openings are available. No stipend or salary amount was specified in the source.

The role is intended for experienced candidates, with a minimum of 2 years of relevant AI development experience.

Who Can Apply

Candidates with a strong background in AI engineering and GenAI development, especially those who have hands-on experience with Python, LLMs, RAG, vector databases, orchestration tools, and cloud platforms, are encouraged to apply.