AI Engineer

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Company Description

Ideafloats Technologies Private Limited is a professional technology services company based in Bengaluru, India. We offer end-to-end solutions in design, development, consulting, and cloud services. Our team consists of experts in product consulting, design, development, and management. We work closely with entrepreneurs and business owners to help them make the right decisions and achieve their goals.

Role Overview

We’re looking for a Lead Engineer to architect, scale, and lead the development of intelligent, AI-powered systems. This role combines backend excellence, cloud-native infrastructure, and integration of LLMs and multi-agent architectures into real-world applications. If you’re passionate about technical leadership, LLM-based automation, and building future-forward platforms, this role is for you.

Key Responsibilities

System Architecture & Development

● Design and maintain scalable microservices and APIs using Java, Python, or Node.js

● Architect high-performance systems with modular, maintainable components

● Own the technical roadmap and ensure system scalability and security

Engineering Leadership

● Mentor developers and enforce high engineering standards

● Lead technical discussions, code reviews, and architectural decisions

● Guide the team in adopting best practices across development and deployment

AI Integration & Agent Systems

● Integrate LLMs (OpenAI, Claude, Mistral, etc.) into production workflows

● Work with AI/ML teams on fine-tuning, embeddings, RAG pipelines

● Develop and manage multi-agent orchestration using LangGraph, Autogen, or similar tools

DevOps & Infrastructure

● Build CI/CD pipelines using GitHub Actions, Jenkins, or similar tools

● Manage deployments in AWS, GCP, or Azure environments

● Implement Docker-based containerization and Kubernetes orchestration

Monitoring, Security & Performance

● Setup observability tools (Datadog, Prometheus, Grafana, ELK)

● Ensure security compliance (SOC2, GDPR, etc.)

● Troubleshoot performance bottlenecks and resolve critical issues promptly

Cross-functional Collaboration

● Collaborate with product, design, and AI teams

● Participate in sprint ceremonies and lead technical delivery

● Translate product needs into scalable engineering systems

Requirements

Education & Experience

● B.Tech/M.Tech in Computer Science or related field.

● 5–8 years of experience in backend, cloud, or AI product development.

Core Technical Skills

● Expertise in at least two: Java, Python, Node.js

● Strong foundation in microservices, OOP, system design

● Practical experience in LLMs, prompt engineering, fine-tuning

AI & DevOps Tools

● Hands-on with LangGraph, CrewAI, OpenAI tools, or similar agent frameworks

● Docker, Kubernetes, and cloud-native CI/CD pipelines

● AWS (Lambda, S3, ECS, DynamoDB), GCP, or Azure experience

Soft Skills

● Experience leading and mentoring engineering teams

● Strong problem-solving, communication, and technical decision-making