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Job Title: AI Engineer
Location: Bangalore
Work Arrangement: Onsite
Employment Type: Full time
Duration: Permanent
Salary: As per company standards
Application Deadline: 15th-July
Position Overview
We are looking for a highly skilled AI Engineer with 5+ years of experience in designing, developing, and deploying enterprise-grade AI solutions. The ideal candidate will have hands-on expertise in building AI Assistants, AI Agents, automation workflows, and Generative AI applications using modern cloud platforms and Microsoft AI technologies.
In this role, you will work closely with cross-functional teams to develop secure, scalable, and production-ready AI solutions that improve business processes, automate workflows, and deliver intelligent user experiences.
Key Responsibilities
Required Skills & Qualifications
Must Have
Preferred Skills
Equal Opportunity Employer
We are an Equal Opportunity Employer and consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.
Disclaimer
AI Usage Policy: Artificial Intelligence may be used during portions of the recruitment and application screening process. Final hiring decisions are made by human recruiters based on candidates qualifications, experience, technical skills, and overall fit for the role.
Job ID: 151281521
Skills:
AI ML, Python, Machine Learning, Gen AI, Langgraph
Skills:
Node.js, Git, Docker, Linux, FastAPI, Rest Apis, Python, AWS, embeddings, agent orchestration frameworks, vector databases, vLLM, prompt engineering, open-source generative media models, ComfyUI, LLM APIs, Replicate, RAG, Cog
Skills:
Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring
Skills:
production readiness , Python, scalable system design, data pipelines, GenAI LLM application development, deployment observability, model pipelines, APIs and backend services, ML LLM framework, ML training and evaluation workflows
Skills:
Git, Gcp, Azure, Python, AWS, LangChain, RAG systems, DevOps practices, Qdrant, vector databases, REST API design, Pinecone, LLM APIs, Chroma, FAISS, CI CD pipelines, Weaviate, LlamaIndex