We are looking for an experienced AI/ML Engineer to design, develop, and implement intelligent machine learning and Generative AI solutions. The ideal candidate will have strong hands-on experience in Python, machine learning, Large Language Models (LLMs), and building scalable AI-powered applications.
The individual will work on developing advanced AI solutions, integrating machine learning models into existing applications, and deploying production-ready systems.
Design, develop, and implement machine learning and AI-based solutions.
Build and optimize Generative AI and LLM-powered applications.
Develop Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions.
Work with AI agents, autonomous workflows, and intelligent automation.
Develop and maintain scalable Python-based applications and APIs.
Integrate vector databases, embeddings, and external AI services.
Implement model evaluation, monitoring, and performance optimization.
Deploy and maintain AI/ML models in production environments.
Collaborate with cross-functional engineering and product teams.
Follow best practices for AI security, scalability, reliability, and model governance.
5+ years of experience in AI/ML engineering or related software development.
Strong programming skills in Python.
Hands-on experience with Machine Learning and Deep Learning.
Experience working with LLMs and Generative AI technologies.
Strong understanding of RAG architecture, embeddings, and semantic search.
Experience with frameworks such as LangChain, LlamaIndex, or similar.
Familiarity with vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
Experience developing REST APIs using FastAPI or Flask.
Understanding of model deployment, monitoring, and MLOps practices.
Experience with Docker, Kubernetes, and cloud-based environments.
Experience with AWS, Azure, or Google Cloud.
Knowledge of MLflow and CI/CD pipelines.
Experience building enterprise-grade AI applications.
Knowledge of LLM evaluation, prompt engineering, and AI observability.
Experience with agentic AI frameworks and multi-agent systems.
