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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineers - **Company:** ACCELLOR INC. - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Python (Programming Language), Machine Learning, Tensorflow, Unstructured Data, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4fb7184c42c292bd ## About the Role Do you have experience in Python?, We're looking to hire strong AI Engineers (multiple roles) with a passion for engineering to join our Product team to help us scale our platform and deliver cutting edge capabilities to our customers. We are looking for a highly motivated and skilled Generative AI (GenAI) Developers to join our dynamic team. You will be responsible for building and deploying GenAI solutions using large language models (LLMs) to address real-world business challenges. The role involves working with cross-functional teams, applying prompt engineering and fine-tuning techniques, and building scalable AI-driven applications. A strong foundation in machine learning, NLP, and a passion for emerging GenAI technologies is essential., * Minimum 2 years of relevant Proven experience as an AI Developer. * Strong proficiency in Python * Good understanding multiple Gen AI models (OpenAI, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc. * Experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases (e.g., FAISS, Pinecone). * Multi agents frameworks to create workflows * Langchain or similar tools like lamaindex, langgraph etc. * Knowledge of Machine Learning frameworks, libraries, and tools. * Excellent problem-solving skills and solution mindset * Strong communication and teamwork skills. * Ability to work independently and manage ones time effectively. * Experience with any of cloud platforms (AWS, GCP, Azure). ## Description * Design, develop, and implement GenAI solutions using large language models (LLMs) to address specific business needs using Python. * Collaborate with stakeholders to identify opportunities for GenAI integration and translate requirements into scalable solutions. * Preprocess and analyze unstructured data (text, documents, etc.) for model training, fine-tuning, and evaluation. * Apply prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques to optimize LLM outputs. * Deploy GenAI models and APIs into production environments, ensuring performance, scalability, and reliability. * Monitor and maintain deployed solutions, incorporating improvements based on feedback and real-world usage. * Stay up to date with the latest advancements in GenAI, LLMs, and orchestration tools (e.g., LangChain, LlamaIndex). * Write clean, maintainable, and well-documented code, and contribute to team-wide code reviews and best practices. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)