Remote Artificial intelligence architect Jobs – 71 Open Jobs Today

Artificial Intelligence Engineer
Destm Technologies —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance
- Paid time off
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11d
Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
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Technical Documentation Specialist
Venture Builders Pvt Ltd —Remote
- ₹35,000 - ₹50,000 a month
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Paid time off
- Work from home
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Technical Architect/ Senior Technical Architect
Kiwitech Pvt. India —Remote
- ₹30,00,000 - ₹55,00,000 a year
- Full-time
- Remote
- Product management
- AI
- Communication skills
- Flexible schedule
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2d
2026-1569 - IT Infrastructure Architect
Highstreet —Remote
- Full-time
- Remote
- AWS
- Linux
- Communication skills
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AI Product Chief Architect (OTE $100,000/year USD), @Sparkrock
Ionic Partners —Remote
- ₹1,00,000 a year
- Full-time
- Remote
- Computer Science
- SQL
- Bachelor's degree
- Flexible schedule
AIML Architect
3Pillar —Remote
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
AI Engineer
GoWide Solutions —Remote
- ₹1,00,000 - ₹2,00,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Salesforce
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Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
- SQL
Technical Program Manager
AHEAD —Remote
- Remote
- PMP
- Salesforce
- Project management
- Health insurance
- Paid time off
Partner AI Deployment Engineer - AWS
OpenAI —Remote
- Full-time
- Remote
- AWS
- AI
Software Development Engineer III (Mobile - Flutter)
HighLevel —Remote
- Full-time
- Remote
- Master's degree
- APIs
- AI
Software Architect
Netomi —Remote
- Full-time
- Remote
- Java
- AWS
- APIs
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9h
Product Support Specialist
AHEAD —Remote
- Full-time
- Remote
- Computer Science
- Presentation skills
- Bachelor's degree
- Health insurance
- Paid time off
Software Development Engineer III - Users
HighLevel —Remote
- Remote
- SQL
- JavaScript
- APIs
Senior Data Engineer
Alimentiv —Remote
- ₹20,94,639 - ₹36,03,725 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
8d
Senior Machine Learning Engineer (Gemini Enterprise)
Programming.com —Remote
- ₹5,11,174.60 - ₹18,33,311.51 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid sick time
Quick apply
Senior Solution Architect
ThirdEye Data —Remote
- From ₹18,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Work from home
- Flexible schedule
Quick apply
Technical Lead, Software Engineering
3Pillar —Remote
- Full-time
- Remote
- Azure
- English
- Software development
Sr. Director, Product Management (Core Products)
HighLevel —Remote
- Remote
- Product management
- APIs
- AI

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Artificial Intelligence Engineer

Destm Technologies
Remote

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Job details

Full-time
11 days ago

Benefits

Provident Fund
Health insurance
Paid time off
Cell phone reimbursement
Work from home
Paid sick time

Qualifications

TensorFlow
Azure
Law
Computer Science
Kubernetes
PyTorch
Software deployment
Master's degree
Application development
Databases
AWS
Docker
Bachelor's degree
Machine learning
Neo4j
REST
Software development
APIs
Agile
AI
Graph databases
Python
Debugging

Full job description

We are seeking an experienced AI Developer, with minimum 5yrs skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs(e.g., OpenAI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI.

You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are key.

Key Responsibilities

AI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within FastAPI services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.
LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization).
RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.
FastAPI Microservice Development: Build and maintain the scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment (Docker, Kubernetes).
Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.
Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.

Required Skills & Qualifications

5 years+ of hands-on experience in software development with a strong focus on AI/ML application development.
Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications.
Proven experience with Prompt Engineering techniques.
Strong Python programming skills.
Practical experience building and deploying RESTful APIs using FastAPI.
Experience designing and implementing application logic for AI-driven features or agents.
Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).
Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face (important for understanding models and future adaptation).
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.
Solid problem-solving skills and clear communication abilities.
Experience working effectively in an agile environment.
Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.
Bachelor's or Master's degree in Computer Science, AI, or a related field.
Ability to work independently and collaborate effectively in a remote setting.

Preferred Qualifications

Experience with frameworks like LangChain or LlamaIndex.
Experience with observability and debugging tools for LLM applications, such as LangSmith.
Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher).
Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management.
Experience optimizing API call performance (latency/cost) or model inference.
Knowledge of AI security considerations and bias mitigation.

Job Type: Full-time

Benefits:

Cell phone reimbursement
Health insurance
Paid sick time
Paid time off
Provident Fund
Work from home

Experience:

Prompt Engineering: 2 years (Preferred)
LangSmith: 2 years (Preferred)
LangChain: 2 years (Preferred)

Work Location: Remote

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Refine Your Search

artificial intelligence architect jobs in remote

Artificial Intelligence Engineer

Manager / Area Manager Artificial Intelligence

Technical Documentation Specialist

Technical Architect/ Senior Technical Architect

2026-1569 - IT Infrastructure Architect

AI Product Chief Architect (OTE $100,000/year USD), @Sparkrock

AIML Architect

AI Engineer

Manager / Area Manager Artificial Intelligence

Technical Program Manager

Partner AI Deployment Engineer - AWS

Software Development Engineer III (Mobile - Flutter)

Software Architect

Product Support Specialist

Software Development Engineer III - Users

Senior Data Engineer

Senior Machine Learning Engineer (Gemini Enterprise)

Senior Solution Architect

Technical Lead, Software Engineering

Sr. Director, Product Management (Core Products)

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