About Intas

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Intas is a leading global pharmaceutical company specializing in the development, manufacturing, and marketing of pharmaceutical formulations. The mission of the company is to address unmet medical and societal needs through a fully integrated pharmaceutical value chain spanning across the world.

Through its subsidiaries, the International presence of Intas includes the following countries: over 85 worldwide, with some of the more important global markets like North America, Europe, Latin America, and the Asia-Pacific under the well-known brand name Accord Healthcare. The rapid expansion has been due to organic growth and strategic acquisitions alone, vindicating its position in some of the important major pharmaceutical markets across the world.

Intas follows high standards of quality, as reflected by products approved for leading global regulatory agencies including USFDA, MHRA, and EMA. Substantial in-house R&D capability, along with the beginning of a focus on highly advanced areas like Biosimilars and New Chemical Entities-Intas continues to push the frontiers of excellence in healthcare.

At Intas, our success is fundamentally built on the strength of our people. Our ongoing commitment is to attract and retain the best talent in the industry while fostering an empowering environment that encourages innovation and excellence. This approach ensures that every employee plays a meaningful role in driving both the company’s growth and advancements in global healthcare.

Job Title:  Sr. Executive - Information Technology

Job Requisitions No.:  16228
Job Description: 

Purpose of Job

We are seeking a passionate and motivated AI Engineer to join our team. The ideal candidate should have hands-on experience in Python, familiarity with open-source AI frameworks such as Ollama, LangChain, and enterprise-grade platforms like Azure OpenAI and Azure Foundry, with a keen interest in building intelligent, scalable, and production-ready AI solutions.
This role offers the opportunity to work on cutting-edge Generative AI and LLM (Large Language Model) projects across various domains. You will collaborate with data engineers, product owners, and business stakeholders to design, develop, and deploy AI-powered applications.

Roles and Responsibilites

  • Design, develop, and deploy AI/ML solutions using Python and open-source frameworks.
  • Build LLM-powered applications leveraging frameworks such as LangChain, Ollama, and enterprise platforms like Azure OpenAI and Azure Foundry.
  • Integrate AI models with APIs, databases, and front-end applications.
  • Work on retrieval-augmented generation (RAG), prompt engineering, and fine-tuning of models.
  • Evaluate and compare open-source and cloud-based AI models for business use cases.
  • Collaborate with cross-functional teams to translate business problems into AI-driven solutions.
  • Stay updated with emerging trends in Generative AI, LLMs, and related open-source ecosystems.
  • Strong programming skills in Python.
  • Hands-on experience with LangChain, Ollama, Azure OpenAI, and Azure Foundry.
  • Good understanding of machine learning concepts, NLP, and LLMs.
  • Knowledge of REST APIs, databases (SQL/NoSQL), and integration of AI into applications.
  • Familiarity with Git, Docker, and cloud platforms (Azure/AWS/GCP) is a plus.

Qualification Required

  • Bachelors degree in Computer Science, Engineering, Data Science, or related field.
  • 3 - 5 years of experience in AI/ML engineering, software development, or related roles.

Relevant skills / Industry experience

  • Experience with RAG (Retrieval-Augmented Generation) pipelines.
  • Exposure to Vector databases.
  • Knowledge of prompt engineering and fine-tuning LLMs.
  • Experience working in Agile/Scrum environments.

Relevant professional / Educational background

Any other requirements (If any)

Compensation / Reward

Location: 

Head Office, Ahmedabad, GJ, IN, 380054

Travel:  75% - 100%

Life at Intas Pharmaceuticals

For over three decades, Intas has thrived due to the exceptional talent of its people. Our growth is fueled by a dynamic environment that nurtures individual potential while fostering collaboration and collective success. We believe that when diverse skills and perspectives unite under a shared purpose and value system, we can achieve remarkable outcomes, driving innovation and excellence across the pharmaceutical landscape.

Date:  11 Feb 2026