Artificial Intelligence Engineer

7 days ago

Bengaluru, Karnataka, India Tech Mahindra Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Title: AI Engineer

Location: Bengaluru

Experience: 5 to 8 Years

Skills: AI/ML, GEN AI, Full-stack, ADK (Agent Development Kit)

Company Profile:

Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences. We Rise together to create sustainable businesses that can bring about lasting change in our communities to create an equal world, to be future ready, and to create value. We are 152,000+ professionals across 90 countries, helping 1297 global

customers including Fortune 500 companies.

AI Engineer - Job Description

Overview

We are seeking a skilled and proactive AI Engineer with a full-stack background(added advantage) to join our team as a contractor. This role is perfect for a self-starter who can quickly build and deploy AI-powered applications. The ideal candidate will have strong foundational knowledge of Large Language Models (LLMs) and a knack for integrating them into production-ready systems. You will play a key role in accelerating our development cycles by bringing a blend of AI expertise and practical software engineering skills.

Key Responsibilities

  • Design and develop LLM-powered applications and agents from concept to deployment.
  • Integrate LLM APIs and other AI models into our existing systems using FastAPI to build scalable and efficient services.
  • Build AI agents by implementing core components such as planners, tool-use mechanisms, and memory to enable complex, multi-step tasks.
  • Write clean, well-documented, and efficient Python code that adheres to best practices.
  • Containerize applications using Docker and work with CI/CD pipelines to streamline deployment workflows.
  • Collaborate with the team to design system architecture and contribute to both front-end (React) and back-end development.
  • Implement application security principles.

Required Skills & Qualifications

  • Strong Python Proficiency: A non-negotiable requirement. Must be comfortable with object-oriented programming, data structures, and common Python libraries.
  • LLM Fundamentals: Foundational knowledge of how Large Language Models work, including concepts like prompt engineering and API usage.
  • API Integration: Proven experience with FastAPI for building robust and fast APIs.
  • Agent Building: Hands-on experience or a strong understanding of the components of an AI agent, including a planner, tool-use, and memory.
  • Deployment Experience: Familiarity with Docker for containerization and a basic understanding of CI/CD principles.
  • Full-Stack Knowledge: Experience with full-stack development, with React and Python being a significant advantage.
  • Problem-Solving: A proactive and creative approach to debugging and solving complex technical challenges.
  • Communication: Excellent communication skills, with the ability to explain technical concepts clearly and collaborate effectively within a fast-paced environment

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