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Salary
≈ $22k – $50k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 5+ years exp

First seen by Alion on Sep 18, 2026.

Overview
Company
Impact
Profile match
Jinendra Infotech is an Indian IT services company that staffs engineering and software projects across Hyderabad, Bengaluru, Gurgaon and Pune. Its openings include Java developers, Salesforce testers, DevOps and AI engineers and embedded C++ developers working on high-performance web applications and microservices. The company is based in India.

Role Overview :

We are seeking an experienced AI Developer with strong expertise in Python, AI/ML development, AWS Bedrock and cloud-based application deployment. The role combines machine learning, generative AI, backend/API engineering, cloud infrastructure and data engineering to build, integrate and deploy scalable AI solutions in production environments.

Core Responsibilities :

AI & Machine Learning Development :

- Develop, train, fine-tune and deploy machine learning models using TensorFlow, PyTorch, scikit-learn and NumPy.

- Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP and computer vision.

- Integrate and utilize pre-trained AI models, including capabilities available through AWS Bedrock.

- Optimize AI model performance, scalability, reliability and efficiency.

Backend Development & API Integration :

- Design and develop RESTful APIs using Flask or FastAPI for AI model deployment.

- Implement robust microservices architectures for AI-powered applications.

- Ensure secure, efficient and scalable backend services.

Cloud & DevOps :

- Deploy AI solutions using AWS Bedrock and AWS services including S3, Lambda, SageMaker, ECS/EKS and IAM.

- Manage cloud infrastructure provisioning, cost optimization, security and operational reliability.

- Work with CI/CD pipelines for reliable and repeatable AI model deployment.

- Use Docker and Kubernetes for containerized deployments and orchestration.

Database & Data Engineering :

- Design, query and optimize PostgreSQL, MySQL, DynamoDB and MongoDB databases.

- Develop and automate data pipelines using Apache Airflow, AWS Glue or Spark.

- Implement ETL processes for AI and application data handling.

Collaboration & Documentation :

- Collaborate with data scientists, engineers and product stakeholders to integrate AI into applications.

- Write clear documentation for models, workflows, APIs and deployment processes.

- Explain AI concepts and technical decisions to non-technical stakeholders when required.

Essential Requirements :

Programming & AI Development :

- 5+ years of professional Python development experience with an AI/ML focus.

- Proficiency in TensorFlow, PyTorch and scikit-learn.

- Experience with neural networks, NLP, LLMs, RAG and/or computer vision.

Backend & API Development :

- Experience developing RESTful APIs using Flask or FastAPI.

Skills

Python, AWS Bedrock, Machine Learning, Tensorflow, PyTorch, FastAPI, RAG, Apache Airflow, Artificial Intelligence, LLM, NLP

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