Python Engineer with AI
- Source: Naukri
- Seikor Group
- Hybrid
- Bengaluru
- Full-Time
- Mid level
Job Description
AI Engineer (Python)
About the Role
We are looking for engineers with strong AI and Python engineering skills to build intelligent, AI-powered applications. The ideal candidate will work on Large Language Model (LLM) integration, Generative AI features, and Agentic AI frameworks in a cloud-native environment.
Key Responsibilities
- Design, develop, and deploy AI-powered applications using Python.
- Integrate LLM capabilities using LangChain, LlamaIndex, LangGraph, or similar frameworks.
- Build Retrieval-Augmented Generation (RAG) pipelines, embedding services, and vector search integrations.
- Develop REST APIs and microservices using FastAPI or Flask.
- Work with cloud AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Apply MLOps practices and CI/CD pipelines for AI model deployment.
- Ensure AI solutions meet performance, scalability, security, and Responsible AI standards.
- Collaborate with cross-functional teams to design and deliver enterprise AI solutions.
Required Skills & Experience
- 3+ years of professional Python development experience.
- 3+ years of hands-on AI/ML experience using TensorFlow, PyTorch, Keras, or equivalent frameworks.
- 2+ years of experience in Generative AI and Agentic AI using OpenAI, LangChain, LlamaIndex, LangGraph, or similar technologies.
-
Strong understanding of:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
-
Embeddings and Vector Search
- 2+ years of experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Experience with containerization technologies including Docker and Kubernetes.
- Strong knowledge of RESTful APIs, Microservices, and Event-Driven Architectures.
- Experience with MLOps tools and CI/CD pipelines.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, or a related field.
Preferred Skills
- Experience deploying and monitoring AI/ML models in production.
- Familiarity with vector databases and semantic search.
- Knowledge of cloud-native application development.
- Understanding of Responsible AI and AI governance practices.
- Experience working in Agile/Scrum environments.
What We Offer
- Opportunity to work on cutting-edge AI and Generative AI technologies.
- Exposure to enterprise-scale AI and cloud-native applications.
- Collaborative and innovation-driven work environment.
- Continuous learning and professional growth opportunities.
- Competitive compensation and career advancement.
Skills
- Python
- LangChain
- LlamaIndex
- LangGraph
- FastAPI
- Flask
- microsoft-azure
- amazon-web-services
- bedrock
- vertex
- Tensorflow
- PyTorch
- Keras
- google-cloud-platform
- Docker
- Kubernetes
- scaleai
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