Bangalore, Karnataka, India
Information Technology
Full-Time
Infrrd
Overview
The Core Responsibilities For The Job Include The Following
AI-Powered Automation and Data Matching:
AI-Powered Automation and Data Matching:
- Design and build AI-enhanced automation workflows using LLMs, AWS Bedrock, and prompt engineering.
- Leverage AI for intelligent data extraction, matching, and decision-making.
- Continuously evaluate and integrate emerging AI/ML techniques to improve automation.
- Work with customers to understand their automation and AI-driven workflow needs.
- Define LLM-powered enhancements for existing workflows.
- Improve data accuracy and efficiency with AI-driven matching techniques.
- Write scalable, maintainable Python code for AI-based automation and data pipelines.
- Build modular and reusable prompt engineering solutions for different workflows.
- Design APIs and integrations with LLM-powered workflows.
- Monitor production for issues and debug AI-driven workflows.
- Ensure scalability using AWS Lambda, containerization (Docker/K8s), and event-driven architectures.
- Implement logging, error handling, and observability for AI-driven automation.
- Work with junior engineers to drive automation solutions.
- Scale AI-driven workflow implementations across teams.
- Collaborate with cross-time-zone teams for global deployment.
- 4+ years of experience in Python development with a focus on automation, APIs, and scalable architectures.
- Python Expertise: Strong experience in writing modular, scalable, and production-ready Python code.
- LLMs and Prompt Engineering: Experience designing AI-powered workflows using AWS Bedrock, OpenAI API, or similar.
- Automation and AI Workflow Design: Proven track record of building AI-driven automation solutions.
- API Development and AI Integration: Experience designing RESTful APIs and integrating LLMs.
- Scalability and Performance Optimization: Experience with AWS Lambda, event-driven architectures, and containerization.
- Cloud and Serverless Computing: Deep understanding of AWS Bedrock, DynamoDB, S3 and serverless computing.
- Observability and Monitoring: Experience setting up AI/automation logging, tracing, and monitoring tools.
- Data Processing and AI-driven Matching: Expertise in data pipelines, NLP, vector databases (e. g., Pinecone, FAISS).
- Eager to Experiment and Use New Tech: Passionate about adopting AI, automation, and new frameworks to deliver faster and smarter solutions.
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