N
AI Engineer
N
AI Engineer
Ncs2-5 Years
- Posted 15 hours ago
- Be among the first 10 applicants
Job Description
- Independently integrate and configure AI services (e.g., LLMs, vision, speech, language APIs) from Azure, AWS, and GCP
- Develop, optimize, and test prompts for LLMs and generative AI
- Prepare, preprocess, and validate data for use with platform AI services
- Deploy and monitor AI-powered solutions using cloud-native tools
- Collaborate with architects and platform engineers to deliver AI solutions
- Document solution configurations, code, and operational procedures
- Troubleshoot and resolve issues in AI solutions
- Education – Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent professional experience)
- Cloud platform certifications (Azure AI Fundamentals, AWS Certified AI Practitioner) are beneficial
- Related Work Experience
- 2-5 years of software development experience
- 1+ year of experience integrating cloud APIs or services
- Experience with Python and REST APIs
- Familiarity with at least one cloud platform (Azure, AWS, or GCP)
- Knowledge
- Comprehensive knowledge of Azure AI services (Azure OpenAI, Cognitive Services, Speech, Vision)
- Comprehensive knowledge of AWS AI services (Bedrock, SageMaker endpoints, Rekognition)
- Comprehensive knowledge of GCP AI services (Vertex AI, Cloud AI APIs)
- Advanced knowledge of prompt engineering techniques and optimization
- Knowledge of data preprocessing and validation
- Understanding of API design and integration patterns
Skills –
- Collaboration: Works effectively with architects, platform engineers, and business users
- Problem Solving: Breaks down AI requirements into manageable configurations
- Communication: Clearly documents solutions and technical decisions
- Continuous Learning: Stays current with platform AI capabilities and latest practices
More Info
Key Skills
About Company
Skills:
Kubernetes, Sql, Microservices, Tensorflow, Data Visualization, React, AWS, Angular, Python, Azure, Docker, Gcp, Machine Learning Algorithms, Git, Restful Apis, Scikit-Learn, data pipelines, R, NoSQL databases, data lakes
Skills:
react.js , PostgreSQL, Tensorflow, Pytorch, Docker, Terraform, Flask, Python, Express, Node.js, Vue.JS, Git, FastAPI, pgvector, Qdrant, Hono, Pinecone, Anthropic SDK, GitHub Actions, OpenAI SDK, Chroma, Next.js, LangChain, CrewAI, n8n, Tailwind CSS, GitLab CI, Weaviate, Flowise, LlamaIndex
Skills:
Apis, MLops, Docker, Kubernetes, Python, AWS, Generative AI, Amazon EC2 P5, AI agent architectures, NVIDIA GPUs, Amazon SageMaker, Amazon Bedrock
Skills:
Familiarity with GCP and or other major cloud AI platforms, Prompting RAG fine-tuning and model comparison concepts, Python and basic experimentation workflow, Cost-performance analysis and technology assessment, Documentation and structured research reporting, Data analysis and evaluation methods, LLMs model evaluation and benchmarking, Understanding of open-source and closed-source model ecosystems, AI infrastructure literacy including cloud deployment concepts
Skills:
Docker, Cloud deployment, FastAPI, Python, LangChain, LangGraph, multi-agent systems, security fundamentals, vector databases, AI LLM systems