AI Engineer

Posted One Month Ago
Chennai, Tamil Nadu, IND
In-Office
Entry level
Artificial Intelligence • Information Technology • Consulting • Automation
The Role
Build and own production-grade AI systems, including backend services, scalable APIs, LLM integrations, RAG pipelines, and agentic workflows. Responsibilities include testing, documentation, model deployment, performance optimization, collaboration, and continuous learning, with increasing ownership and complexity based on experience.
Summary Generated by Built In
Role Summary

Focus: Independently build backend services, own features, production RAG, agentic workflows, deploy models, optimize performance.

Responsibilities

Ownership and complexity increase with experience while retaining focus on building production-grade AI systems, scalable APIs, LLM integrations, RAG pipelines, agentic workflows, testing, documentation, deployment, optimization, collaboration, and continuous learning.

Qualifications

Strong Python skills appropriate to experience level, backend/API development, AI/LLM exposure, cloud-native development, and software engineering best practices.

What We Value

Ownership, code quality, curiosity, speed with quality, collaboration, and production mindset.



Skills Required

  • Strong Python skills
  • Backend and API development experience
  • Exposure to AI and large language models
  • Cloud-native development experience
  • Software engineering best practices
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The Company
189 Employees
Year Founded: 2018

What We Do

Recode Solutions is a technology solutions provider helping enterprise businesses accelerate digital transformation. It delivers technology consulting and Agentic AI-enabled digital workers for enterprise process transformation, including data and analytics, robotic process automation, integration, software development and operations, quality assurance, digital commerce, and computer-vision-based industrial automation. Its solutions combine custom programming with selected enterprise platforms to optimize operations and improve intelligent, scalable processing.

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