Gen AI Engineer with Python
ApTask
Charlotte, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Charlotte, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Data Security
Python
Open Source Technology
Performance Tuning
TensorFlow
Search Technologies
Enterprise Software Applications
PyTorch
Retrieval-Augmented Generation
Flask
Large Language Models
Prompt Engineering
Generative AI
GIT
FastAPI
Containerization
Kubernetes
Machine Learning Operations
REST
GPT
Docker
Job description
- Design and develop Generative AI applications using Python.
- Work with LLMs (e.g., GPT-based models, open-source LLMs) for text generation, summarization, classification, and automation use cases.
- Implement prompt engineering techniques and optimize model outputs.
- Build AI pipelines using frameworks such as LangChain, LlamaIndex, or similar tools.
- Develop REST APIs to integrate AI models into enterprise applications.
- Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and RAG (Retrieval-Augmented Generation) systems.
- Fine-tune and evaluate models for performance, accuracy, and scalability.
- Deploy AI solutions on cloud platforms (AWS, Azure, or GCP).
- Collaborate with data engineers, product teams, and stakeholders to translate business requirements into AI solutions.
- Ensure responsible AI practices, including bias mitigation and data security.
Requirements
We are looking for a skilled Generative AI Engineer with strong Python expertise to design, develop, and deploy AI-driven solutions. The ideal candidate will have hands-on experience working with large language models (LLMs), prompt engineering, AI frameworks, and production-grade AI systems., * Strong proficiency in Python.
- Experience with Generative AI / LLMs.
- Knowledge of NLP concepts.
- Hands-on experience with OpenAI APIs or similar LLM APIs.
- Experience with RAG architecture.
- Familiarity with Machine Learning frameworks (PyTorch / TensorFlow).
- Experience with REST APIs (FastAPI/Flask).
- Understanding of cloud platforms (AWS/Azure/GCP).
- Knowledge of Git and CI/CD pipelines.
Preferred Skills:
- Experience with fine-tuning LLMs.
- Knowledge of embeddings and vector search.
- Experience in BFSI/Healthcare/Enterprise domains.
- Containerization (Docker, Kubernetes).
- MLOps practices.
About the company
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.