Software Engineer

Epsilon Data Management

3 - 8 years

30 - 35 Lacs

bengaluru

Posted:1 month ago| Platform:

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Skills Required

automation software design backend product engineering version control django machine learning system design sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

AI Integration & Development: Develop and optimize applications that integrate Generative AI models, including AWS Bedrock models, Retrieval-Augmented Generation (RAG), and multi-agent systems, to improve user experience and business processes
Backend Development: Design, implement, and maintain scalable and high-performance Python applications that utilize machine learning and AI models to solve real-world problems
AI Feedback Loops: Implement real-time feedback systems to continuously improve AI model performance and accuracy
Multi-Agent Systems: Contribute to the development and optimization of multi-agent systems, ensuring efficient communication and decision-making across agents
Frontend Development: Collaborate with UI/UX teams to build scalable and responsive web applications using Angular, improving user interaction with AI systems
Cloud Infrastructure: Utilize AWS services (specifically AWS Bedrock) and other cloud technologies to deploy, scale, and manage AI models in production, ensuring reliability and performance
System Design & Architecture: Contribute to the design of scalable system architectures, integrating front-end and back-end components with AI models and cloud infrastructure
Collaboration & Mentorship: Collaborate with product managers, data scientists, and other engineers to understand business requirements and mentor junior engineers
Continuous Learning & Innovation: Stay current with trends in Generative AI, AWS Bedrock, multi-agent systems, and front-end technologies to improve your skillset and bring innovative solutions to the team
Qualifications Experience: 3+ years of experience in software development, with a strong focus on Python, AI/ML technologies, and cloud-native applications
Generative AI Expertise: Experience with AWS Bedrock models, Retrieval-Augmented Generation (RAG), multi-agent systems, and AI model deployment
Familiarity with language models, deep learning frameworks, and reinforcement learning is a plus
Cloud Technologies: Experience with AWS services (AWS Bedrock, Lambda, S3, EC2) and other cloud platforms for scalable AI model deployment
Backend Development: Expertise in Python and frameworks such as Flask, Django, FastAPI
Experience with RESTful API development and microservices architecture is preferred
Frontend Development: Experience with Angular and building interactive, responsive web applications
Familiarity with front-end frameworks and TypeScript is required
AI Feedback & Performance Optimization: Understanding of integrating AI feedback loops, optimizing models for performance, and continuous model improvement in production
Multi-Agent Systems: Experience with building and optimizing multi-agent systems where agents collaborate and make decisions in dynamic environments
Software Design & Architecture: Strong understanding of design patterns, system scalability, and architecture principles
Version Control & CI/CD: Proficiency with version control (eg, Git) and continuous integration/deployment (CI/CD) practices
Collaboration & Leadership: Excellent communication skills with the ability to work effectively with cross-functional teams
Experience mentoring junior engineers is a plus
Nice-to-Have: Advanced AI/ML Knowledge: Familiarity with reinforcement learning, neural networks, or other cutting-edge AI technologies
Data Engineering Skills: Experience with data pipelines, ETL processes, and database technologies (SQL, NoSQL, Graph Databases)
DevOps Experience: Experience with containerization (Docker), Kubernetes, and infrastructure automation for scaling AI systems
Why Join UsInnovative Environment: Work on cutting-edge AI projects with technologies like AWS Bedrock, multi-agent systems, and Angular
Career Growth: Access continuous learning opportunities and career development in a rapidly evolving field
Collaborative Culture: Join a dynamic, diverse, and collaborative team passionate about building the future of AI
Flexible Work Options: Enjoy flexible work arrangements, including remote or hybrid options
Competitive Compensation: We offer an attractive salary, performance bonuses, comprehensive benefits, and a flexible work-life balance

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