AI Engineer (Full Time)

Experience Required- 5+

Skill Required: Gen AI, Python, Machine Learning and Prompt Engineering 

We are seeking a 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.

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.