Senior Generative AI Engineer – Python, LangChain, RAG & AWS | Remote

🚀 Hiring: Senior Generative AI Engineer – Python, LangChain, RAG & AWS

We are looking for an experienced, hands-on engineer to build and deploy scalable AI applications, LLM integrations, and cloud-based backend services.

📍 Work Mode: 100% Remote

💼 Engagement: 12-month contract

💰 Monthly Compensation: Up to ₹1,00,000

🧑💻 Experience: 5+ years in Python development with a strong AI/ML focus

⚡ Availability: Immediate joiners only

Mandatory Skills

• LangChain
• AWS Lambda, AWS Bedrock,SNS, SQS, and API Gateway
• FastAPI
• PostgreSQL with pgvector
• Postman
• Git

Key Responsibilities

AI & Generative AI Development

• Build LLM-powered applications and Retrieval-Augmented Generation (RAG) solutions using LangChain and AWS Bedrock.
• Develop, fine-tune, evaluate, and deploy machine learning models using TensorFlow, PyTorch, scikit-learn, and NumPy.
• Work on NLP and computer vision use cases, integrating pre-trained models where appropriate.
• Optimise AI solutions for performance, scalability, and efficiency.

Backend & API Development

• Develop RESTful APIs using FastAPI or Flask.
• Build secure, scalable microservices and integrate AI capabilities into applications.
• Test and validate APIs using Postman.

Cloud & Deployment

• Deploy and manage AI workloads using AWS Bedrock, S3, Lambda, SageMaker, ECS/EKS, and IAM.
• Integrate event-driven workflows using SNS, SQS, and API Gateway.
• Support CI/CD pipelines, Docker-based deployments, and Kubernetes orchestration.
• Manage cloud security, infrastructure provisioning, and cost optimisation.

Databases & Data Engineering

• Implement vector storage and retrieval using PostgreSQL and pgvector.
• Work with relational and NoSQL databases, including MySQL, DynamoDB, and MongoDB.
• Build and automate ETL workflows and data pipelines using Airflow, AWS Glue, or Spark.

Collaboration & Documentation

• Collaborate with data scientists, engineers, and product managers.
• Document models, APIs, workflows, and deployment processes.
• Communicate technical concepts clearly to non-technical stakeholders.

Candidate Requirements

• Strong Python programming skills, with knowledge of OOP and microservices architecture.
• Hands-on experience with LLMs, RAG, AWS Bedrock, and the mandatory technologies listed above.
• Experience with AI/ML frameworks, cloud deployments, databases, and data pipelines.
• Familiarity with Git-based collaboration and tools such as Jira or Trello.
• Strong analytical, problem-solving, communication, and teamwork skills.

📩 Interested? Share your updated CV via LinkedIn DM, along with your relevant experience, earliest joining date, and expected monthly compensation.

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