Remote Full stack + ai engineer Jobs – 151 Open Jobs Today

Gen AI Engineer (4y+ Exp)
Acronotics —Remote
- ₹20,00,000 - ₹32,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- SQL
- Health insurance
- Flexible schedule
Quick apply
8h
Founding Engineer – Full-Stack Generalist (Remote, Full-Time) [AS324]
Smart Working Solutions —Remote
- ₹30 - ₹44 a month
- Full-time
- Remote
- DevOps
- Master's degree
- JavaScript
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5h
Open to All Aspiring Individuals
Clougile Technologies —Remote
- Email
- Remote
- Project management
Tech Lead – Java / Angular / AWS
Webomates —Remote
- Email
- Remote
- DevOps
- Java
- Databases
Presales Solutions Architect - Observability
AHEAD —Remote
- Full-time
- Remote
- Microsoft Powerpoint
- Salesforce
- Presentation skills
- Health insurance
- Paid time off
HR Intern – Talent Acquisition & IT Staffing
Capticks —Remote
- ₹5,000 a month
- Email
- Remote
- Microsoft Excel
- English
- Databases
- Work from home
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8d
Principal Backend Engineer
SupplyHouse.com —Remote
- ₹50,000 - ₹60,000 a year
- Full-time
- Remote
- Oracle
- Computer Science
- System design
- Work from home
- Paid sick time

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Founding Engineer – Full-Stack Generalist (Remote, Full-Time) [AS324]
Smart Working Solutions —Remote
Be comfortable operating as a senior/staff-level individual contributor generalist and owning a product or platform end-to-end solo or near-solo; formal project…
₹30 - ₹44 a month
Quick apply
5h

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Gen AI Engineer (4y+ Exp)

Acronotics -
Remote

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Job details

Permanent | Full-time
₹20,00,000 - ₹32,00,000 a year
8 hours ago

Benefits

Provident Fund
Health insurance
Flexible schedule
Paid sick time

Qualifications

CI/CD
Image processing
Azure
Node.js
Law
Kubernetes
Computer vision
Git
Master's degree
SQL
AWS
Analysis skills
Docker
Neo4j
Continuous integration
REST
OpenCV
GitHub
APIs
IT
AI
Communication skills
Graph databases
Python

Full job description

Job Description: Gen AI Engineer

Experience Required: 5+ Years

Work Mode: Remote

Employment Type: Full-Time

About the Role

We are looking for an experienced Gen AI Engineer to design, build, and deploy production-grade Generative AI and Agentic AI systems. The ideal candidate has hands-on experience across the full Gen AI stack from LLM orchestration and RAG pipeline architecture to fine-tuning, deployment, and monitoring and is comfortable working independently in a remote-first environment.

Key Responsibilities

Design, build, and deploy Retrieval-Augmented Generation (RAG) pipelines, including semantic chunking, embedding generation, and hybrid retrieval strategies.
Architect and implement Agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Phidata for multi-step, tool-calling agent orchestration.
Fine-tune and optimize LLMs using parameter-efficient techniques (PEFT, LoRA, QLoRA) for domain-specific use cases.
Integrate LLM-powered applications (chatbots, copilots, automation agents) with vector databases (Pinecone, Qdrant, Neo4j, pgvector, Milvus, etc.) and graph databases where applicable.
Build and maintain end-to-end AI pipelines (including on Databricks) for large-scale document ingestion, vectorization, and real-time inference.
Deploy and manage AI systems on cloud platforms (AWS Bedrock/SageMaker, Azure OpenAI/AI Foundry, GCP Vertex AI) with secure, enterprise-grade configurations.
Implement MLOps and CI/CD practices containerization (Docker), orchestration (Kubernetes), experiment tracking (MLflow), and automated deployment pipelines (GitHub Actions).
Monitor and evaluate production AI systems using tools such as LangSmith, RAGAS, DeepEval, or OpenTelemetry for reliability, drift detection, and performance tracking.
Collaborate cross-functionally with product, data engineering, and (where applicable) front-end teams to integrate AI capabilities via REST APIs and microservices.
Stay current with emerging Gen AI research, tools, and best practices, and evaluate their applicability to ongoing projects.

Required Skills & Experience

5+ years of total IT experience, with significant hands-on experience in Generative AI / Agentic AI (typically 1.5–2+ years focused specifically on Gen AI).
Strong programming proficiency in Python; working knowledge of SQL.
Practical experience with Agentic AI frameworks: LangChain, LangGraph, CrewAI, AutoGen, Phidata, or similar.
Experience with LLM providers: OpenAI, Anthropic (Claude), Google Gemini, Hugging Face models.
Solid understanding of RAG architecture, embeddings, and semantic/hybrid search.
Experience with vector and/or graph databases (Pinecone, Qdrant, Neo4j, Milvus, ChromaDB, FAISS, pgvector).
Familiarity with LLM fine-tuning techniques (PEFT, LoRA, QLoRA).
Working knowledge of cloud platforms (AWS, Azure, or GCP) — particularly their AI/ML services.
Experience with Databricks for building end-to-end AI pipelines, large-scale data ingestion, and vectorization workflows.
Experience with Docker, CI/CD pipelines, and basic MLOps practices.
Strong analytical, problem-solving, and communication skills; ability to work independently in a remote setting.

Good to Have

Experience with computer vision (OpenCV, YOLO) or OCR pipelines.
Familiarity with observability/evaluation tools (LangSmith, RAGAS, DeepEval, MLflow).
Exposure to REST API/microservices integration (FastAPI, Node.js) for AI-powered web applications.
Experience with Kubernetes for container orchestration.
Prior experience in enterprise/regulated environments (secure LLM deployments, private endpoints, Key Vault, etc.).
Relevant certifications (AWS, Azure AI, DeepLearning.AI, etc.).

Job Types: Full-time, Permanent

Pay: ₹2,000,000.00 - ₹3,200,000.00 per year

Benefits:

Flexible schedule
Health insurance
Paid sick time
Provident Fund

Application Question(s):

What is your Current CTC?
What is your Expected CTC?
How soon can you join if selected?

Work Location: Remote

Quick apply

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full stack + ai engineer jobs in remote

Gen AI Engineer (4y+ Exp)

Founding Engineer – Full-Stack Generalist (Remote, Full-Time) [AS324]

Open to All Aspiring Individuals

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