AI Engineer

Job Description

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Skills

• 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.