Senior GEN AI Engineer

Job Description

Job Description

About Client:
The client specializes in delivering technology solutions and services to help businesses with digital transformation, software development, and IT consulting. It provides custom software development services across various platforms and technologies, catering to different industries and domains. The client helps businesses modernize their IT systems, adopt new technologies, and transform their operations to stay competitive in the digital age.
Client is known for its emphasis on innovation, agility, and a collaborative work culture. The company encourages its employees to explore creative solutions and stay updated with the latest technology trends.

Rate Range: $55-$58/Hr

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.

Key Responsibilities:

• 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.

Required Skills:

• 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.

Non-benefitted (other than those mandated under state or federal law).Please note that this position does not include paid time off benefits. ApTask offers subsidized insurance coverage to our employees.

About ApTask:
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.

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