Senior AI/ML Engineer

Senior AI/ML Engineer

• Techvedika 1st Block 2nd Floor, My Home Hub, Madhapur, Hyderabad, Telangana, India
• Full-time

Company Description

Artificial Intelligence (AI) focused product engineering company

March 2010

• Great Place To Work Certified(May 2022-May 2023) Organization

• Top 50

   I 

  Mid-Size India’s

  Best Workplaces for Women 2022 !

• Top 10 Most Disruptive Face & Image Recognition Solution

   Providers’2020 – Analytics Insights

• Top 10 Healthcare Analytics Solution Providers’ 2019

  - Healthcare Outlook Magazine

• Top 20 most amazing AWS Service Providers

   – CIO Review India 2018

We strive for simple, elegant tech solutions to perform complex tasks. As a scalable technology partner, we enable organizations to improve operational efficiency and unleash new business potential

To perform this role successfully, the Associate AI Engineer must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, education, and overall experience required for the role.

Experience & Technical Skills

• 5+ years of strong Python development experience with emphasis on performance, scalability, and maintainability.
• Hands-on experience with Generative AI and LLMs, including prompt engineering, RAG systems, and integration into enterprise applications.
• Experience with Agentic AI frameworks (e.g., LangChain, crewAI, AutoGen, or similar) and workflow orchestration.
• Familiarity with data engineering and data transformation practices, including handling large enterprise-scale datasets.
• Strong understanding of API integration and the ability to connect AI systems with enterprise platforms.
• Nice to have: Machine Learning (ML) model development and deployment experience (TensorFlow, PyTorch, scikit-learn, etc.).

Qualifications

• 5+ years of strong Python development experience with emphasis on performance, scalability, and maintainability.
• Hands-on experience with Generative AI and LLMs, including prompt engineering, RAG systems, and integration into enterprise applications.
• Experience with Agentic AI frameworks (e.g., LangChain, crewAI, AutoGen, or similar) and workflow orchestration.