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Coffeee.io
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Back End Developer

Back End Developer

Coffeee.io

0 years

0 Lacs

jaipur rajasthan india

Posted:8 hours ago| Platform:

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Skills Required

developer ai ml engineering data automation enablement algorithms learning design microservices analytics api reliability code debugging plugins training testing mlflow tracking model retrieval devops aws azure gcp deployment orchestration airflow workflow containerization docker security compliance scalability programming software tensorflow pytorch openai terraform kubernetes integration authentication chatbot rasa dialogflow

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Backend Developer (AI/ML Integration)

You will design scalable backend services, integrate AI models (including LLMs such as GPT-5), develop APIs, and deploy intelligent microservices powering automation, analytics, and enterprise knowledge platforms.

Key Responsibilities

Backend Engineering & API Development

Design, develop, and maintain scalable backend services and RESTful APIs.
Build microservice-based solutions ensuring performance, reliability, and scalability.
Participate in code reviews, debugging, and production performance tuning.

AI/ML & LLM Integration

Integrate AI/ML and LLM models (e.g., GPT-5, fine-tuned/custom models) into backend workflows.
Develop and deploy ML/NLP models for automation, predictive analytics, and intelligent knowledge retrieval.
Customize and optimize AI plugins for automation, analytics, and insights.

ML Pipelines & MLOps

Build and maintain end-to-end ML pipelines for training, testing, and deployment.
Use MLOps tools (MLflow, Kubeflow, DVC) for experiment tracking and model lifecycle management.
Work with vector databases (Pinecone, Weaviate, FAISS, Milvus) to build AI-driven search/retrieval systems.

Cloud, DevOps & Automation

Work with cloud platforms (AWS, Azure, GCP) for deployment and infrastructure management.
Implement CI/CD pipelines for automated deployment and monitoring.
Use automation/orchestration tools like Airflow or Prefect for workflow automation.
Work with containerization & orchestration tools (Docker, Kubernetes).
Ensure data security, compliance, and scalability across all deployments.

Required Skills & Qualifications

Core Technical Skills

Strong programming expertise in
Java
and
Python
.
Excellent understanding of
data structures, algorithms, and software design principles
.
Hands-on experience with
AI/ML frameworks
: TensorFlow, PyTorch, Hugging Face.
Proficiency in
NLP/LLM integration
, including LangChain, RAG, OpenAI APIs, and Anthropic models.
Experience with backend frameworks and
microservice architectures
.

Cloud & DevOps

Familiarity with
AWS
cloud infrastructure and Terraform (IaC).
Working knowledge of Docker, Kubernetes, and CI/CD workflows.

AI Infrastructure

Experience with
vector databases
(Pinecone, Weaviate, FAISS, Milvus).
Understanding of MLOps tools such as MLflow, Kubeflow, or DVC.

Nice to Have

Internship or project experience in AI/LLM integration or backend automation.
Experience with API security, authentication, and scalable system architecture.
Exposure to RAG frameworks and chatbot tools: Rasa, Dialogflow, Botpress.
Contributions to open-source AI/automation projects.

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