We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we've been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, and much more. We are building technology that has been disrupting the data extraction space for 8+ years now. And now, we are on the lookout for a motivated Senior Python Developer to join our Engineering team. In this role, you will help us build our product efficiently and solidly. Responsibilities 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. Requirements 3+ 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. This job was posted by Pavithra V from Infrrd. Show more Show less

Hello there! Infrrd here. Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we’ve been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks and much more. We are building technology that is disrupting the data extraction space for 5+ years now.And now, we are on the lookout for a motivated Python Developer to join our Engineering team. In this role, you will help us to build our product in an efficient and solid way. As a Python Developer at Infrrd, your job responsibilities will include: Create python scripts and services. Document inside code and designs. Ensure the deliverables are of the highest quality in terms of functional and technical aspects. Ensure the in sprint defects are closed with the highest quality and any production defects are being taken care of for a specific duration post release. Work along with the PM, Architect and the BA to manage the deliverables from technical and functional aspects Work along with DevOps, and other teams to fulfill roles and see the big picture. Carry out regular code reviews, enforce coding best practices, source control, and deliverables Below is a list of the background we would like our Python Developer to have: 3 -5 years of expertise in Python 3 software engineering skills Experience building systems that interact with REST APIs or depend on web frameworks like Flask (preferred) or Django. Python Language Proficiency: Strong understanding of Python syntax and libraries like Pandas. Design, Develop, test, and maintain high-quality software using Python programming language. Experience with MongoDB Strong object-oriented design and programming skills Experience with SQL and NoSQL databases. Proficiency with Git. Nice to Have: Familiarity with Linux. Experience with microservices and architectural design. Experience with Python testing frameworks (unit test, pytest). Knowledge of using OpenAPI specifications for designing REST Endpoints. Experience working with message brokers (RabbitMQ, Redis) Experience in deploying machine learning models in production environments and made them accessible through APIs. Experience with DevOps processes along with Kubernetes and container ecosystem is an advantage. Experience working with AWS services or other cloud services. And along with that, someone who is curious to learn, drives the whole team to perform better and is a cool person to work with. That is when we will make a great team together, right? Look forward to speaking with you. Show more Show less

We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we've been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, and much more. We are building technology that has been disrupting the data extraction space for 8+ years now. And now, we are on the lookout for a motivated Senior Python Developer to join our Engineering team. In this role, you will help us build our product efficiently and solidly. Responsibilities 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. Requirements 3+ 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. This job was posted by Pavithra V from Infrrd.

Hello there! Infrrd here. Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. And Intelligent Document Processing (IDP) company helping enterprises extract, understand, and act on data locked in complex documents. Our solutions empower some of the world’s leading organizations in mortgage, insurance, construction, and manufacturing to automate what once seemed impossible. And now, we are on the lookout for a great Engineering Manager . What you will do: Plan and manage multiple parallel software development Supervise all software development activities like Requirements Gathering and Analysis, Design, Development, Testing and Roll Drive effective teamwork, communication and collaboration across cross functional Customer interaction, Stakeholder communication, Status reporting and issue/risk Performance management and mentoring for team What makes you good you ask? Strong Technical Foundation: 10-14 years of overall experience with 4-5 years of software development experience preferably in Java and 3+ years in leading or managing complex software development projects in Java. Experience in mortgage or insurance domain projects is a plus. Manage Complex Technical Projects: Employ Agile methodologies to efficiently manage multiple projects, prioritize tasks, and mitigate risks. Experience in client onboarding is a plus. Passion for AI: A genuine interest in the potential of AI to revolutionize industries and improve lives. Future-Proofing Skills: A willingness to learn and adapt to rapidly evolving AI technologies. Stay Updated on AI Trends: Continuously research and adopt emerging AI technologies like generative AI, reinforcement learning, and computer vision. Prior experience in a product-centric or SaaS environment is a plus. And along with that, someone who is curious to learn, drives the whole team to perform better and is a cool person to work with. Looking forward to speaking with you!