BENGALURU · FULLTIME
AI Engineer
Coralai
Bengaluru · onsite · Posted 68d ago
Sourced from
Undisclosed5–10 yrsfulltimeBengaluru
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Section · 01
About this role
Position Description:
Job Description 1: AI Engineer (5+ Years Experience)
Position
AI Engineer
Experience
5+ Years
Location
Hybrid / Remote (As per business requirement)
Job Summary
We are looking for an experienced AI Engineer to design, develop, and deploy AI driven solutions that solve complex business problems. The ideal candidate should have hands on experience in Machine Learning, Generative AI, Large Language Models (LLMs), data engineering, and cloud based AI services. The role requires collaboration with cross functional teams to build scalable AI applications and integrate intelligent capabilities into enterprise platforms.
Key Responsibilities
. Design, develop, and deploy AI/ML solutions for enterprise applications.
. Build and optimize Machine Learning and Deep Learning models.
. Develop Generative AI solutions using Large Language Models (LLMs).
. Design and implement Retrieval Augmented Generation (RAG) pipelines.
. Integrate AI models with enterprise applications through APIs and microservices.
. Develop data pipelines for model training, inference, and monitoring.
. Perform prompt engineering and optimize AI model performance.
. Collaborate with Data Engineers, Software Engineers, and Business teams to understand business requirements.
. Monitor AI models in production and improve model accuracy and performance.
. Ensure AI solutions comply with security, governance, and responsible AI standards.
. Prepare technical documentation and knowledge transfer materials.
Required Skills
Programming
. Python (Mandatory)
. SQL
. REST APIs
AI Machine Learning
. Machine Learning algorithms
. Deep Learning
. NLP
. Computer Vision (Preferred)
Generative AI
. OpenAI / Azure OpenAI
. Llama, Mistral or other LLMs
. Prompt Engineering
. RAG Architecture
. Vector Databases (Pinecone, ChromaDB, FAISS)
Frameworks
. LangChain
. LlamaIndex
. Hugging Face
. TensorFlow / PyTorch
. Scikit learn
Cloud
. Azure AI Services (Preferred)
. AWS SageMaker
. Google Vertex AI
DevOps MLOps
. Git
. Docker
. Kubernetes
. CI/CD
. MLflow (Preferred)
Preferred Qualifications
. Experience in deploying enterprise AI solutions.
. Experience with chatbot or AI assistant development.
. Knowledge of responsible AI and model governance.
. Azure AI Engineer Associate or equivalent certification is an advantage.
Soft Skills
. Strong analytical and problem solving skills
. Excellent communication
. Stakeholder management
. Ability to work independently in Agile teams
Position
AI Engineer
Experience
5+ Years
Location
Hybrid / Remote (As per business requirement)
Job Summary
We are looking for an experienced AI Engineer to design, develop, and deploy AI driven solutions that solve complex business problems. The ideal candidate should have hands on experience in Machine Learning, Generative AI, Large Language Models (LLMs), data engineering, and cloud based AI services. The role requires collaboration with cross functional teams to build scalable AI applications and integrate intelligent capabilities into enterprise platforms.
Key Responsibilities
. Design, develop, and deploy AI/ML solutions for enterprise applications.
. Build and optimize Machine Learning and Deep Learning models.
. Develop Generative AI solutions using Large Language Models (LLMs).
. Design and implement Retrieval Augmented Generation (RAG) pipelines.
. Integrate AI models with enterprise applications through APIs and microservices.
. Develop data pipelines for model training, inference, and monitoring.
. Perform prompt engineering and optimize AI model performance.
. Collaborate with Data Engineers, Software Engineers, and Business teams to understand business requirements.
. Monitor AI models in production and improve model accuracy and performance.
. Ensure AI solutions comply with security, governance, and responsible AI standards.
. Prepare technical documentation and knowledge transfer materials.
Required Skills
Programming
. Python (Mandatory)
. SQL
. REST APIs
AI Machine Learning
. Machine Learning algorithms
. Deep Learning
. NLP
. Computer Vision (Preferred)
Generative AI
. OpenAI / Azure OpenAI
. Llama, Mistral or other LLMs
. Prompt Engineering
. RAG Architecture
. Vector Databases (Pinecone, ChromaDB, FAISS)
Frameworks
. LangChain
. LlamaIndex
. Hugging Face
. TensorFlow / PyTorch
. Scikit learn
Cloud
. Azure AI Services (Preferred)
. AWS SageMaker
. Google Vertex AI
DevOps MLOps
. Git
. Docker
. Kubernetes
. CI/CD
. MLflow (Preferred)
Preferred Qualifications
. Experience in deploying enterprise AI solutions.
. Experience with chatbot or AI assistant development.
. Knowledge of responsible AI and model governance.
. Azure AI Engineer Associate or equivalent certification is an advantage.
Soft Skills
. Strong analytical and problem solving skills
. Excellent communication
. Stakeholder management
. Ability to work independently in Agile teams
Skills:
- Back End Development
- Back End Development
- Front End Development
- Front End Development
- Full Stack Development
- Full Stack Development
- MySQL
- PHP
Sourced from naukri
Section · 02
Skills
kerasimage processingneural networksComputer Visiontext miningNatural Language ProcessingOpencvPattern recognitionTensorflowPythonDeep LearningPredictive ModelingData ScienceArtificial IntelligenceMachine Learning
Section · Company