Atlanta
Title: AI Engineer Terms: Long Term Contract Location: Atlanta area Hybrid Role No 3rd party at this time Are you looking for a career opportunity that allows you to grow your career? If so, this opportunity will genuinely excite you! Our client is transforming how their organization services their customers while aligning best in breed technology solutions. We are looking for an AI Engineer who will help build out & develop best in class work and work on innovative projects for the business. AI Engineer – Job Description Position Overview We are seeking an innovative and technically strong AI Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions that drive business transformation and operational efficiency. The AI Engineer will work closely with data scientists, software engineers, product managers, and business stakeholders to build intelligent applications leveraging Generative AI, Large Language Models (LLMs), machine learning, NLP, and cloud-native AI platforms. This role requires expertise in AI model development, prompt engineering, model integration, data pipelines, and production-grade deployment of AI-powered applications and agentic workflows. Key Responsibilities • Design, build, and deploy AI and machine learning solutions for enterprise and customer-facing applications., • Develop and integrate Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and AI agents., • Build AI-powered applications including chatbots, copilots, recommendation engines, document intelligence solutions, and automation platforms., • Develop and optimize machine learning pipelines for training, inference, monitoring, and model lifecycle management., • Implement prompt engineering strategies and AI orchestration frameworks to improve model accuracy and business outcomes., • Collaborate with product managers, architects, and business stakeholders to translate business requirements into scalable AI solutions., • Integrate AI services with enterprise applications, APIs, cloud platforms, and data pipelines., • Build and maintain scalable backend services and APIs supporting AI applications., • Deploy AI and ML models using cloud platforms such as AWS, Azure, or Google Cloud., • Implement monitoring, observability, security, governance, and responsible AI practices., • Optimize AI model performance, latency, scalability, and cost efficiency., • Support MLOps processes including CI/CD, automated testing, versioning, and model governance., • Research emerging AI technologies and evaluate opportunities for enterprise adoption., • Mentor junior engineers and contribute to AI engineering standards and best practices. Required Qualifications • Bachelor’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related field., • 5+ years of software engineering, machine learning, or AI engineering experience., • Hands-on experience building AI/ML applications in production environments., • Strong programming skills in Python, JavaScript, Java, or similar languages., • Experience with Generative AI platforms and LLM frameworks such as:, • OpenAI, • AWS Bedrock, • Azure OpenAI, • LangChain, • LlamaIndex, • Hugging Face, • CrewAI, • LangGraph, • Experience implementing RAG pipelines, embeddings, vector databases, and semantic search., • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn., • Experience with REST APIs, microservices, and cloud-native application development., • Familiarity with Docker, Kubernetes, CI/CD pipelines, and DevOps practices., • Strong understanding of SQL, NoSQL, and data engineering concepts., • Experience with cloud platforms such as AWS, Azure, or GCP., • Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications • Experience developing AI agents and autonomous workflows., • Knowledge of MLOps and model governance frameworks., • Experience with NLP, computer vision, or recommendation systems., • Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, or FAISS., • Experience with streaming data platforms and real-time AI processing., • Exposure to data platforms such as Databricks, Snowflake, or Spark., • Experience implementing AI security, compliance, and responsible AI controls., • Agile/Scrum delivery experience. Technical Skills AI & Machine Learning • Generative AI, • Large Language Models (LLMs), • Prompt Engineering, • RAG Architectures, • AI Agents, • NLP, • Machine Learning, • Deep Learning Programming & Frameworks • Python, • JavaScript / TypeScript, • Java, • FastAPI, • Flask, • Node.js AI Frameworks & Platforms • OpenAI, • AWS Bedrock, • Azure OpenAI, • LangChain, • Hugging Face, • LlamaIndex, • CrewAI, • LangGraph Cloud & DevOps • AWS / Azure / GCP, • Docker, • Kubernetes, • GitHub Actions, • Jenkins, • Terraform Data & Databases • SQL, • PostgreSQL, • MongoDB, • Vector Databases, • Spark, • Databricks Preferred Soft Skills • Strong analytical and critical thinking abilities, • Ability to communicate complex AI concepts to technical and non-technical stakeholders, • Collaborative team player with leadership capabilities, • Strong organizational and project execution skills, • Passion for innovation and emerging AI technologies About GSquared Group: Shouldn’t your recruiting partner put as much effort and value into your career as you do? With GSquared Group, we take the time to understand where you would like to take your career and what is important to you. GSquared Group is a woman-owned boutique technology services company in the Atlanta area. Founded in 2010, we are a premier provider of IT talent search, management consulting, and software development services. We support a diverse client base that spans all industries and includes Fortune 100 to mid-market companies. We offer direct hire placement, contract, and contract-to-hire positions. We are proud to be known by our community for putting relationships at the core of everything we do. GSquared Benefits: • Competitive & Comprehensive Healthcare Package (available only for W2 hourly consultants), • Simple IRA with company match (available only for W2 hourly consultants), • Professional development & networking opportunities, • A family-friendly environment, • Nice bonuses for referrals, • A culture that supports you and your career Hear what others are saying on Glassdoor: _