Full-Time

Senior Generative AI Developer

Gen AI

Updated on 8/19/2026

ProcDNA

ProcDNA

201-500 employees

Biopharma-focused commercial analytics and consulting

No salary listed

Gurugram, Haryana, India

Hybrid

Hybrid schedule in Gurugram.

Bachelor's, Master's

Category
AI & Machine Learning (1)
Required Skills
LLM
Microsoft Azure
Python
Git
Machine Learning
OpenAI
RAG
AWS
Terraform
LangChain
DevOps
Data Analysis

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Requirements
  • Good or basic understanding of full-stack development using Python and the MERN stack, as well as cloud technologies such as Azure and AWS.
  • Experience with cloud DevOps services such as Git and Terraform.
  • A bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 8–11 years of experience in AI development, with a strong focus on generative models, natural language processing, and image processing.
  • Proficiency in Python and other programming languages for AI development.
  • Solid understanding of machine learning concepts, data processing, feature extraction, text summarization, and image processing techniques.
  • Familiarity with Retrieval-Augmented Generation and related AI processes.
  • Proven experience with OpenAI models, including GPT (Generative Pre-trained Transformer), and the ability to develop custom models.
  • Experience working with large-scale datasets and cloud platforms.
Responsibilities
  • Develop, test, and deploy AI models using large language models, Hugging Face language models, and libraries such as LlamaIndex and LangChain.
  • Create custom AI models to address unique challenges and improve existing processes.
  • Optimize and fine-tune AI models for performance, accuracy, and scalability.
  • Apply Retrieval-Augmented Generation methodologies to develop AI solutions.
  • Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements.
  • Stay current with developments in artificial intelligence, machine learning, and related fields to continuously improve offerings.

ProcDNA focuses on commercial analytics and technology consulting for life sciences and biopharma. It helps clients turn data into actionable insights through analytics, technology, and data science services, including specialized offerings like Auxo HCP 360 for data management, marketing, and customer relationship optimization. The company delivers tailored solutions in areas such as commercial planning, market assessment, and patient journey quantification, enabling precise business decisions and growth. What sets ProcDNA apart is its deep expertise in market access analytics, sales strategy, and campaign ROI, backed by a leadership team with over a century of combined experience, a track record with 25 clients across 40 disease indications, and a presence in five office locations. The overarching goal is to drive growth for biopharma clients by turning complex data into clear, strategic actions.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

South San Francisco, California

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • ProcDNA launched Conference Intelligence in January 2026 across oncology, neurology, dermatology, and cardiology.
  • ProcDNA won Business Circle’s 2026 Life Sciences AI and Data Strategy consultancy award.
  • Open roles in July 2026 across Boston, Chicago, Princeton, and India show active hiring.

What critics are saying

  • IQVIA, Veeva, and Accenture can bundle similar analytics into larger enterprise contracts.
  • Auxo and Conference Intelligence are proprietary, but still service-led; margins stay labor-heavy.
  • If pharma cuts external consulting in 2027, ProcDNA’s growth engine stalls quickly.

What makes ProcDNA unique

  • ProcDNA is self-funded and privately owned, unlike venture-backed consulting peers.
  • Auxo HCP360 integrates 100-plus data sources for life-sciences HCP engagement.
  • The firm spans eight offices, including South San Francisco, Boston, Chicago, and Pune.

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Benefits

Hybrid Work Options