Senior AI Engineer / Senior Generative AI Engineer

Job Title Senior AI Engineer (Generative AI)

Job Summary

This role is ideal for a hands-on AI professional who is passionate about building and deploying enterprise-scale Generative AI solutions. The successful candidate will play a key role in designing, developing, and implementing AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-native technologies.

The ideal candidate combines strong software engineering expertise with practical experience delivering production-ready AI solutions that drive business value and innovation.

Key Responsibilities

• Design, develop, and deploy scalable AI and Generative AI applications in production environments.

• Build and maintain LLM-powered solutions using modern AI platforms and frameworks.

• Develop Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.

• Implement Agentic AI workflows using frameworks such as LangChain and LangGraph.

• Create and integrate RESTful APIs to enable AI capabilities across business applications.

• Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions.

• Optimize AI applications for performance, scalability, reliability, and cost efficiency.

• Conduct prompt engineering, model evaluation, testing, and continuous improvement of AI systems.

• Deploy and manage applications using containerization and orchestration technologies such as Docker and Kubernetes.

• Support MLOps practices including model deployment, monitoring, and lifecycle management.

• Stay current with emerging AI technologies and contribute to innovation initiatives.

Required Qualifications

• Bachelor''s or Master''s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.

• 7+ years of software engineering experience with a strong development background.

• 3+ years of hands-on experience building and deploying AI/ML or Generative AI solutions.

• Strong proficiency in Python and modern software development practices.

• Experience developing AI applications using:

  • OpenAI

  • Azure AI Services

  • AWS Bedrock

  • LangChain

  • LangGraph

  • Vector Databases (e.g., Pinecone, Chroma, Weaviate, FAISS)

• Experience building and consuming REST APIs.

• Hands-on experience with Docker and Kubernetes.

• Knowledge of cloud platforms such as Azure and AWS.

• Experience implementing RAG architectures and AI agent frameworks.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience working within automotive, manufacturing, or industrial environments.

• Knowledge of Industry 4.0 initiatives and enterprise digital transformation programs.

• Experience with MLOps, CI/CD pipelines, and AI application monitoring.

• Familiarity with AI governance and responsible AI practices.

• Cloud or AI-related certifications.

Required Skills

• Generative AI

• Large Language Models (LLMs)

• Retrieval-Augmented Generation (RAG)

• Agentic AI

• Python

• OpenAI

• Azure AI

• AWS Bedrock

• LangChain

• LangGraph

• Vector Databases

• REST APIs

• Docker

• Kubernetes

• Cloud Technologies (Azure/AWS)

• MLOps

• Prompt Engineering

• AI Application Development