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Senior AI Engineer

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Hybrid

Senior AI Engineer

Michael Page

Senior AI Engineer

Skills

PythonData AnalysisMachine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

8 September 2026

What they need


Teciem - Global FinTech Company

https://teciem.com/

Join Teciem, a global fintech company delivering cutting-edge Treasury & Capital Markets software solutions to financial institutions worldwide.

We're looking for a talented Site Reliability Engineer who is passionate about building resilient, scalable, and high-performing systems. If you thrive in a fast-paced environment and enjoy solving complex infrastructure challenges, we'd love to hear from you.

Job Description

What will you contribute?
We are looking for a hands-on Senior AI Engineer to join our Bangalore-based team at Teciem. As a senior individual contributor, you will design, build, and deliver our GenAI solutions to production quality. You will work within the Bangalore team, reporting to the AI Engineering Lead.

Key responsibilities

  • Design, develop, and deliver GenAI features to production quality.
  • Contribute to architecture, tooling, and development standards alongside the AI Engineering Lead.
  • Take part in code reviews, performance optimization, and technical design.
  • Mentor and support other engineers, sharing knowledge and best practices.
  • Collaborate with product managers, designers, and software engineers on the AI roadmap.
  • Stay current with AI research and trends.

Required qualifications & skills

  • Bachelor's or Master's in Computer Science, Engineering, or a related field with a focus on AI/ML.
  • 5+ years of software development experience, including 2+ years in AI/ML/GenAI engineering.
  • Deep expertise in AI/ML, with hands-on experience in GenAI, LLMs, NLP, and conversational AI.
  • Demonstrated success in deploying GenAI solutions in production.
  • Proficiency in Python and familiarity with large-scale analytics and machine learning libraries.
  • Experience with modern AI frameworks and tools (e.g., LangGraph, MCP).

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