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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Developer - **Company:** Everforth Apex - **Location:** Richmond, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Elasticsearch, Python (Programming Language), Logistic Regression, Machine Learning, Natural Language Processing, NLTK (NLP Analysis), NumPy, Open Source Technology, SQL Databases, Support Vector Machine, Google Cloud, Feature Engineering, Pytorch, Flask (Web Framework), Large Language Models, Random Forest, Deep Learning, Topic Modeling, Generative AI, Fastapi, Pandas, Heroku, Scikit Learn, HuggingFace, Virtual Agents, Software Coding, Restful APIs, Streamlit Framework, GPT, Software Library - **Published:** August 19, 2026 - **Apply:** https://www.dice.com/job-detail/57e91517-5521-4111-8cb7-c53523f9e66c ## About the Role We are seeking a Senior Architect or Senior Developer with strong knowledge in building GenAI solutions. This role requires hands-on coding experience in Python and a background in working on GenAI projects. The ideal candidate will also have knowledge of Machine Learning and Deep Learning., Technical Skills: * Proven hands-on experience in implementing GenAI projects. * Expertise in prompting Large Language Models. * Strong Python development skills, including experience with Pandas and NumPy. * Strong background in Retrieval Augmented Generation implementations. * Expertise in various machine learning models and NLP techniques. * Experience with the application of Deep Learning to NLP tasks. * Proficiency in Python libraries such as Scikit-learn, Pandas, numpy, NetworkX, and NLTK. * Experience with machine learning libraries like PyTorch and HuggingFace. * Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform). * Experience working with Agile methodology. * Knowledge of Agentic AI frameworks and Orchestration. * Experience in Discourse semantics, anaphora resolution, and related tools (Boxer, Neural DRS, JAMR). General Skills: * Problem-solving skills with a technical background. * Strong written and oral communication skills. * Ability to function in a team environment as well as individually. * A quick learner with the ability to meet deadlines. Preferred Qualifications * Experience with SQL and other data tools. * Familiarity with the Horizon toolset. * Familiarity with Change Management processes. ## Description * Implement GenAI projects using open-source LLMs (Llama, GPT OSS, Gemma, Mistral) and proprietary APIs (OpenAI, Anthropic). * Fine-tune Large Language Models like LLAMA2 and GPT-4 for various tasks using custom datasets. * Develop prompts for Large Language Models such as GPT-4, GPT-3, LLAMA2, and Gemini Pro. * Utilize Python for data analysis and feature engineering with libraries like Pandas and NumPy. * Implement Retrieval Augmented Generation (RAG) solutions. * Apply various machine learning models, including Support Vector Machine (SVM), Logistic Regression (LR), Random Forest, Nave Bayes, and Neural Networks. * Work with NLP techniques like word embeddings, topic modeling, and search (FAISS, Elastic Search). * Build and integrate APIs (REST, FastAPI, Flask) for model deployment. * Deploy machine learning models to platforms like Streamlit, HuggingFace Spaces, and Heroku. * Fine-tune and optimize open-source LLM/SLM. ## Related Videos - [Coffee with Developers - Adam Wiggins](https://www.wearedevelopers.com/videos/919-coffee-with-developers-adam-wiggins) - [Vectorize all the things! 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