AI Engineer (Generative AI & Cloud) at InnoWave

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Large Language Models, LangChain, OpenAI, Azure OpenAI, Hugging Face, Vector Databases, Python, Microsoft Azure, AWS, Google Cloud Platform, Docker, Kubernetes, CI/CD, Prompt Engineering, RAG

Industry

IT Services and IT Consulting

Description

We are seeking a highly motivated and skilled AI Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), and Cloud Platforms. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions leveraging modern AI frameworks and cloud-native technologies. This role requires strong expertise in building scalable AI applications, integrating AI services, and collaborating with cross-functional teams to deliver innovative and production-ready solutions. Key Responsibilities Design, develop, and deploy AI/ML solutions with a focus on Generative AI and LLM-based applications Build and optimize AI-powered applications such as chatbots, copilots, recommendation engines, and intelligent automation tools Work with modern AI frameworks and APIs including OpenAI, Azure OpenAI, LangChain, Hugging Face, or similar technologies Develop prompt engineering strategies and retrieval-augmented generation (RAG) pipelines Integrate AI models with enterprise systems, APIs, databases, and cloud services Deploy and manage AI workloads on cloud platforms such as Azure, AWS, or GCP Collaborate with DevOps and engineering teams for CI/CD and scalable deployments Monitor model performance, reliability, and security in production environments Stay updated with emerging AI technologies and industry best practices Skills Required Skills & Experience 3–5 years of experience in AI/ML engineering or software development Strong hands-on experience with Generative AI and LLM technologies Experience with AI frameworks/tools such as: LangChain OpenAI / Azure OpenAI Hugging Face Vector databases (Pinecone, FAISS, ChromaDB, etc.) Proficiency in Python and AI/ML libraries Experience working with cloud platforms: Microsoft Azure AWS Google Cloud Platform (GCP) Understanding of APIs, microservices, and cloud-native architectures Experience with containerization tools such as Docker and Kubernetes is a plus Familiarity with CI/CD pipelines and DevOps practices InnoWave gives equal opportunity in employment regardless of gender, gender identity, sexual orientation, marital status, race, nationality, religion, age, disability, political beliefs, or any other factor. InnoWave will not pay fees to any third-party agency or company that does not have a signed agreement, do not submit resumes/CV's directly. By answering to this job post, you consent the use of your data by InnoWave Group, for as long as necessary. We conduct regular data-cleansing and updating exercises to make sure the information we have is relevant and accurate. If you have any doubt or request to make relatively to your personal data, please send an e-mail.

Responsibilities

Design, develop, and deploy AI-driven solutions focusing on Generative AI and LLM-based applications like chatbots and copilots. Integrate AI models with enterprise systems and manage workloads on cloud platforms while monitoring performance and security.