Senior GEN AI Engineer

ApTask
Plano, TX, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$26,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Cloud Engineering Computer Programming Continuous Integration Monitoring of Systems Python (Programming Language) Machine Learning Tensorflow Management of Software Versions Pinecone Google Cloud
+20 more
Enterprise Software Applications Pytorch Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering Deep Learning Llamaindex Generative AI Agentic-AI Scikit Learn Kubernetes Weaviate Machine Learning Operations FAISS Azure AI Data Pipelines Docker ChromaDB Microservices

Job description

Job Summary We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy AI-powered solutions that drive business value. The ideal candidate will have strong experience in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), MLOps, and cloud-based AI platforms. The role involves working closely with cross-functional teams to build scalable AI applications and bring innovative AI solutions into production., Design, develop, and deploy AI/ML solutions for enterprise applications. Build and optimize machine learning and deep learning models for production environments. Develop Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), and AI agents. Fine-tune and evaluate foundation models using domain-specific datasets. Implement prompt engineering strategies and AI orchestration frameworks such as LangChain or LlamaIndex. Develop scalable data pipelines for model training, evaluation, and deployment. Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI solutions. Implement MLOps practices including CI/CD, model monitoring, versioning, and governance. Ensure AI models meet performance, security, scalability, and compliance requirements. Mentor junior engineers and contribute to AI best practices across the organization.

Requirements

Strong programming skills in Python. Hands-on experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience working with Generative AI, LLMs, RAG, AI Agents, and Prompt Engineering. Knowledge of Natural Language Processing (NLP) techniques and tools. Experience with vector databases such as Pinecone, Chroma, Weaviate, or FAISS. Familiarity with AI orchestration frameworks including LangChain and LlamaIndex. Strong understanding of MLOps tools and practices. Experience with cloud platforms such as Azure AI, AWS, or Google Cloud Platform. Knowledge of Docker, Kubernetes, and microservices architecture. Strong analytical, problem-solving, and communication skills.

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.

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