Gen AI Engineer (only Genuine Exp)

Sr. GenAI Engineer  / Developer (Only Genuine EXP)

Location : Charlotte, NC

 Any Visa can apply 

Job Description:

About the Role

• We are looking for a talented Generative AI Engineer to design, develop, and deploy AI-powered applications using large language models, generative AI techniques, and modern machine-learning technologies.
• The ideal candidate will have strong software engineering skills, practical experience with LLMs, and the ability to translate business requirements into reliable, scalable AI solutions.

Key Responsibilities

• Design and develop generative AI applications using large language models and multimodal models.
• Build and optimize Retrieval-Augmented Generation (RAG) systems, AI agents, and conversational applications.
• Develop prompt-engineering strategies, evaluation frameworks, and model fine-tuning workflows.
• Integrate commercial and open-source models through APIs and machine-learning frameworks.
• Work with vector databases, embeddings, document-processing pipelines, and knowledge bases.
• Develop scalable, secure, and production-ready AI services and APIs.
• Evaluate model performance for accuracy, relevance, latency, cost, safety, and reliability.
• Implement monitoring, observability, guardrails, and responsible-AI practices.
• Collaborate with product managers, data scientists, software engineers, and domain experts.
• Conduct research and stay current with developments in LLMs, foundation models, agentic systems, and AI infrastructure.
• Contribute to technical documentation, architecture decisions, testing, and code reviews.

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• [2–5] years of experience in software engineering, machine learning, or AI development.
• Strong programming skills in Python and experience with software development best practices.
• Hands-on experience with LLMs, prompt engineering, embeddings, and RAG architectures.
• Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, Hugging Face, PyTorch, or TensorFlow.
• Experience working with APIs, microservices, REST, databases, and cloud platforms.
• Knowledge of vector databases such as Pinecone, Weaviate, Milvus, Chroma, or pgvector.
• Understanding of machine-learning concepts, model evaluation, and data-preparation techniques.
• Familiarity with Git, CI/CD, testing, containers, and deployment workflows.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience fine-tuning or adapting foundation models using techniques such as LoRA or PEFT.
• Experience with AI agents, tool calling, function calling, and workflow orchestration.
• Knowledge of multimodal AI, speech models, computer vision, or document intelligence.
• Experience with cloud AI services such as AWS Bedrock, Amazon SageMaker, Azure OpenAI, Google Vertex AI, or Google Cloud AI.
• Familiarity with Kubernetes, Docker, MLflow, model serving, and MLOps.
• Knowledge of AI security, privacy, governance, bias mitigation, and content-safety practices.
• Experience building enterprise-grade AI products or customer-facing applications.
• Contributions to open-source projects, technical publications, or AI research.

Technology Stack

• Languages: Python, SQL, JavaScript/TypeScript
• AI/ML: OpenAI, Anthropic, Gemini, Hugging Face, PyTorch, TensorFlow
• Frameworks: LangChain, LlamaIndex, FastAPI
• Databases: PostgreSQL, Redis, vector databases
• Cloud: AWS, Microsoft Azure, or Google Cloud
• DevOps: Docker, Kubernetes, GitHub Actions, CI/CD, monitoring platforms
  
  
  
  Thanks & Regards
  Sumanth Reddy
  IT Recruiter
  Email: