Engineer (azure) remote Jobs

GEN AI Engineer
10decoders —India
- Remote
- Azure
- Master's degree
- Databases
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Site Reliability Engineer - APAC
Tyk Technologies —India
- Full-time
- Remote
- Azure
- AWS
- APIs
- Paid holidays
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System Engineer III
Availity India —India
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- Windows
- Paid holidays
- Paid time off
Senior Power Platform Engineer / Developer
Hireflex247 India —India
- Full-time
- Remote
- Azure
- SharePoint
- AI
QA Lead / Quality Engineering Lead - AI-Native Quality Systems
Zenara Health —India
- ₹20,00,000 - ₹30,00,000 a year
- Full-time
- Remote
- Azure
- System design
- English
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Customer Success Engineer
Baffle —India
- Hybrid work
- Azure
- AWS
- APIs
- Health insurance
- Flexible schedule
Engineering Manager
Civica —India
- Full-time
- Remote
- Azure
- AWS
- Agile
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Sr. SAP Engineer - Core
Protera —India
- Full-time
- Remote
- Azure
- SQL
- AWS
- Food provided
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Sr. SAP Engineer - Platform
Protera —India
- Full-time
- Remote
- Azure
- AWS
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- Food provided
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AI/ML & Prompt Engineer LLM, RAG & Voice Agent
QuantumLoopAI —India
- Full-time
- Remote
- Azure
- System design
- Master's degree
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GEN AI Engineer

10decoders
India

Quick apply

Job details

Qualifications

TensorFlow
CI/CD
Azure
Law
Kubernetes
Software deployment
Master's degree
Databases
Microservices
Pandas
AWS
Docker
Product development
Continuous integration
REST
Natural language processing
APIs
Flask
AI
Python

Full job description

Major areas:

A good conceptual understanding of Generative AI fundamentals, including embeddings, RAG, RAG re-ranking/evaluation, and semantic search. good knowledge of AWS Bedrock (architecture, model invocation, prompt engineering, and RAG integration) and familiar with multi-agent concepts. Additionally, he has exposure to data engineering tools such as Glue and Athena, along with experience working with Flask and FastAPI, understanding of multimodal use case flows. CI/CD pipelines, hallucinations, Agent-core architecture.

Job Title: GEN AI ENGINEER

Experience: +5 Years

Location: Remote (U.S. Working Hours)

Start: Immediate

purpose of the job We are seeking an AI/ML Engineer who will play a key role in designing, developing, and integrating intelligent AI solutions across our platform. The role involves working on a variety of AI initiatives — from model experimentation and fine-tuning to building intelligent agents and retrieval-augmented generation (RAG) systems. You will collaborate closely with cross-functional teams to bring AI capabilities into production and ensure seamless integration within our orchestration and application layers.

responsibilities

Design, implement, and optimize AI agents leveraging frameworks such as LangChain, LlamaIndex, or Haystack.
Build and maintain RAG (Retrieval-Augmented Generation) pipelines combining LLMs, embeddings, and vector search.
Develop and fine-tune ML and NLP models for internal use cases, work with vector databases and design efficient retrieval workflows.
Collaborate with other product teams to integrate AI components into the orchestration layer and business systems.
Implement APIs and microservices that expose AI functionalities for broader system use.
Experience of context & prompt engineering, model evaluation, and response optimization.
Evaluate, benchmark, and monitor models using standard metrics and observability tools.
Stay up to date with the latest trends in AI frameworks, LLMs, and orchestration technologies. job requirements education & experience
5+ years of experience in Product development and AI/ML or NLP solution development.
Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers.
Experience with LLM frameworks and strong understanding of retrieval systems, embeddings, and vector databases.
Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes).
Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI etc..
Exposure to data pipelines, preprocessing, and production-grade model deployment. good to have skills
Experience building multi-agent systems or orchestrated AI workflows.
Familiarity with MLOps, CI/CD, and model lifecycle management.
Contributions to open-source AI/ML projects or custom toolkits.
Understanding of monitoring, cost optimization, and performance tuning for AI workloads.

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Refine Your Search

GEN AI Engineer

Site Reliability Engineer - APAC

System Engineer III

Senior Power Platform Engineer / Developer

QA Lead / Quality Engineering Lead - AI-Native Quality Systems

Customer Success Engineer

Engineering Manager

Sr. SAP Engineer - Core

Sr. SAP Engineer - Platform

AI/ML & Prompt Engineer LLM, RAG & Voice Agent

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