Senior GenAI Developer

Location: Richmond, Virginia (Onsite)

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.

Responsibilities

• 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, Naïve 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.

Requirements

• 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/GCP).
• 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).

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.

Benefits

• Medical, dental, vision, life, and disability insurance plans.
• Employee Stock Purchase Program (ESPP).
• 401K program with company match after 12 months of tenure.
• Health Savings Account (HSA) on the HDHP plan.
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions.
• Corporate discount savings program and other discounts.
• On-demand training program and access to certification prep, technical and leadership courses/books/seminars after 6+ months of tenure.
• Certification discounts and perks to associations that include CompTIA and IIBA.
• Dedicated customer service team for benefits and resources.
• Access to a certified Career Coach.