AI Developer - Python + AWS Bedrock

This is a remote position. Job Description: AI Developer (5+ Years Experience) Budget: 90k monthly Contract Duration- 12 months Work Mode- permanent Remote Yrs. Of Experience: 5+ yrs Immediate Joiners only Mandatory Skills :

1. Langchain
2. Aws lambda, Sns, sqs, api gateway
3. Fast api
4. Pg vector database
5. Postman
6. Git Job Summary: We are seeking a skilled AI Developer with expertise in Python, AI/ML development, AWS Bedrock, and cloud computing . The ideal candidate should have experience working with machine learning frameworks, data engineering, and cloud infrastructure . This role requires strong problem-solving skills, AI model optimization capabilities, and hands-on experience in deploying scalable AI solutions.

Job Responsibilities

1. 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) Systems, NLP, and computer vision .
• Integrate and utilize pre-trained AI models , including those in AWS Bedrock .
• Optimize AI model performance, scalability, and efficiency .

1. Backend Development & API Integration:

• Design and develop RESTful APIs using Flask or FastAPI for AI model deployment.
• Implement robust microservices architecture for AI-based applications.
• Ensure secure, efficient, and scalable backend AI solutions.

1. Cloud & DevOps:

• Deploy AI solutions using AWS Bedrock and integrate with services like S3, Lambda, SageMaker, ECS/EKS, and IAM .
• Manage cloud infrastructure provisioning, cost optimization, and security policies .
• Work with CI/CD pipelines for seamless AI model deployment.
• Utilize Docker and Kubernetes for containerized deployments.

1. Database & Data Engineering:

• Design, query, and optimize relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) databases .
• Develop and automate data pipelines using Apache Airflow, AWS Glue, or Spark .
• Implement ETL processes for AI data handling.

1. Collaboration & Documentation:

• Collaborate with data scientists, engineers, and product managers to integrate AI into applications.
• Write clear documentation for AI models, workflows, and deployment processes.
• Explain AI concepts to non-technical stakeholders when required.

Requirements

Essential Requirements: ✅ Programming & AI Development:

• 5+ years of experience in Python development with AI/ML focus.
• Proficiency in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn .
• Experience in neural networks, NLP, LLMs, RAG, and computer vision . ✅ Backend & API Development:
• Experience in RESTful API development using Flask or FastAPI .
• Strong knowledge of OOP, functional programming, and microservices architecture . ✅ Cloud & DevOps:
• Experience with AWS Bedrock and other AWS services ( S3, Lambda, SageMaker, ECS/EKS, IAM ).
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) .
• Understanding of CI/CD pipelines and DevOps practices . ✅ Data Engineering & Databases:
• Strong knowledge of PostgreSQL, MySQL, DynamoDB, and MongoDB .
• Experience with data pipelines, ETL processes, and Apache Airflow/Spark/AWS Glue . ✅ Version Control & Collaboration:
• Proficiency in Git and best practices for collaborative development.
• Familiarity with project management tools like Jira or Trello . Soft Skills: ✔️ Strong problem-solving and analytical thinking . ✔️ Excellent communication skills to explain AI models and technical concepts. ✔️ Ability to work collaboratively in cross-functional teams . ✔️ Adaptability to learn and implement emerging AI/ML technologies .