AI/ML Engineer (LLM & Generative AI) - AIENGG #NJ
About the position
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI solutions, including large language model (LLM)-based applications and generative AI systems. The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices.
Responsibilities
ā¢ Develop and deploy AI/ML models, LLM-based solutions, and generative AI applications
ā¢ Design and implement MCP servers and AI-driven architectures
ā¢ Build and optimize prompts, RAG pipelines, embeddings, and vector search solutions
ā¢ Design AI workflows using platforms such as Azure OpenAI, AWS, Google Cloud Platform, Hugging Face, LangChain, and Semantic Kernel
ā¢ Integrate AI models into production systems using APIs, Python, and cloud services
ā¢ Collaborate with business stakeholders to identify use cases and deliver measurable outcomes
ā¢ Ensure adherence to responsible AI practices, including data privacy and model governance
Requirements
ā¢ Hands-on experience with LLMs (e.g., GPT, Claude, Llama, Gemini)
ā¢ Strong understanding of machine learning, NLP, computer vision, and model evaluation techniques
ā¢ Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
ā¢ Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search)
ā¢ Experience with cloud platforms: Azure, AWS, or Google Cloud AI services
ā¢ Knowledge of MLOps, CI/CD for ML pipelines, and scalable model deployment
Nice-to-haves
ā¢ Experience with AI copilots, automation frameworks, and agentic AI systems
ā¢ Familiarity with Docker, Kubernetes, microservices, and API orchestration
ā¢ Strong ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders
ā¢ Python
ā¢ Machine Learning
ā¢ AI Technologies (OpenShift, React)
Apply tot his job
Apply To this Job
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI solutions, including large language model (LLM)-based applications and generative AI systems. The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices.
Responsibilities
ā¢ Develop and deploy AI/ML models, LLM-based solutions, and generative AI applications
ā¢ Design and implement MCP servers and AI-driven architectures
ā¢ Build and optimize prompts, RAG pipelines, embeddings, and vector search solutions
ā¢ Design AI workflows using platforms such as Azure OpenAI, AWS, Google Cloud Platform, Hugging Face, LangChain, and Semantic Kernel
ā¢ Integrate AI models into production systems using APIs, Python, and cloud services
ā¢ Collaborate with business stakeholders to identify use cases and deliver measurable outcomes
ā¢ Ensure adherence to responsible AI practices, including data privacy and model governance
Requirements
ā¢ Hands-on experience with LLMs (e.g., GPT, Claude, Llama, Gemini)
ā¢ Strong understanding of machine learning, NLP, computer vision, and model evaluation techniques
ā¢ Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
ā¢ Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search)
ā¢ Experience with cloud platforms: Azure, AWS, or Google Cloud AI services
ā¢ Knowledge of MLOps, CI/CD for ML pipelines, and scalable model deployment
Nice-to-haves
ā¢ Experience with AI copilots, automation frameworks, and agentic AI systems
ā¢ Familiarity with Docker, Kubernetes, microservices, and API orchestration
ā¢ Strong ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders
ā¢ Python
ā¢ Machine Learning
ā¢ AI Technologies (OpenShift, React)
Apply tot his job
Apply To this Job