AI Engineer
Regal Rexnord Corporation9 hours ago
Hyderābād, IndiaEntry Level / Mid Level
Responsibilities
- Design, develop, and maintain full-stack applications using Python, FastAPI, React, JavaScript/TypeScript, and modern web technologies.
- Build GenAI applications including internal assistants, chatbots, workflow automation tools, intelligent dashboards, and productivity applications.
- Develop RAG pipelines using enterprise documents, product information, technical specifications, and structured or unstructured data.
- Implement backend services, API integrations, data processing, authentication support, validation, logging, error handling, and troubleshooting.
- Integrate Azure AI Foundry, Azure OpenAI, AWS Bedrock, OpenAI-compatible APIs, and other enterprise AI platforms.
- Use AI-assisted development tools and specification-driven practices to improve productivity, documentation, and software delivery.
- Participate in code reviews, debugging, unit and integration testing, defect resolution, CI/CD activities, and release readiness reviews.
- Support Docker-based deployment, environment configuration, cloud deployment, and operational troubleshooting.
- Apply secure engineering and responsible AI practices involving privacy, access control, prompt safety, output validation, and enterprise data handling.
- Evaluate emerging GenAI frameworks, agentic AI patterns, AI coding tools, and modern software engineering practices.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related technical field.
- 0–2 years of professional software development experience, internship experience, or equivalent hands-on project experience.
- Hands-on experience with Python, web application development, Git/GitHub, AI-assisted development tools, and API integration.
- Practical understanding of LLMs, prompt engineering, RAG, embeddings, AI APIs, or agentic workflow concepts.
- Strong Python programming skills and basic knowledge of JavaScript/TypeScript, React, HTML, and CSS.
- Hands-on understanding of backend development with FastAPI, Flask, Django, or similar Python frameworks.
- Ability to build APIs, process JSON data, integrate external services, and troubleshoot application issues.
- Basic understanding of relational, document, and vector databases such as PostgreSQL, SQL Server, SQLite, DuckDB, MongoDB, pgvector, FAISS, Chroma, Pinecone, or Azure AI Search.
- Preferred exposure to GenAI frameworks including LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, Haystack, or Agno.
- Preferred understanding of Docker, CI/CD, cloud deployment, configuration management, LLMOps, or MLOps concepts.
- Strong communication, documentation, analytical, collaboration, ownership, and continuous-learning skills.
- Awareness of hallucination control, prompt injection risks, output validation, privacy, security, and access control is preferred.
- Preferred experience building GenAI applications such as chat assistants, document Q&A systems, summarization tools, workflow assistants, or intelligent automation tools.
Benefits
- Hybrid work model with onsite work at the designated Regal Rexnord location and flexibility to work remotely.
Tech Stack
CSSDjangoDockerFastAPIFlaskGitHTMLJavaScriptMicrosoft SQL ServerMongoDBPostgreSQLPythonReactSQLiteTypeScript
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