Artificial Intelligence Engineer

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About the Role:

Senior AI Engineer – GenAI & Applied ML

You’ll work hands-on across the full AI stack — from fine-tuning models and writing APIs to implementing text-to-SQL and voice-enabled assistants. If you have a strong track record of single-handedly delivering complex AI systems and a deep understanding of modern ML and GenAI trends, we want to hear from you

Key Responsibilities:

Design, build, and deploy production-ready AI solutions

• Develop intelligent

  chat agents, voice-enabled bots, and autonomous agentic AI systems

  tailored to various domains and user contexts.
• Implement

  context-aware systems using RAG

  (Retrieval-Augmented Generation), custom embeddings, and vector databases to optimize relevance and response quality.

• Fine-tune and customize

  open-source and proprietary LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) for domain-specific applications and enhanced performance.
• Build and expose scalable APIs to serve AI models and integrate them into broader application ecosystems.
• Own the

  full AI lifecycle

  — from architecture and experimentation to deployment and performance tuning.
• Translate business needs into technical blueprints in collaboration with product owners, data teams, and domain experts.
• Proactively research and prototype with the latest advancements in GenAI, agent frameworks, and multimodal models to drive innovation.
• Understanding of

  evaluation frameworks

  for GenAI systems, including prompt robustness, hallucination mitigation, and human-in-the-loop feedback loops.

Requirements:

+ years

state-of-the-art LLMs/SLMs

RAG pipelines

Hugging Face Transformers

data preprocessing

· Familiarity with deploying AI models through APIs, cloud platforms, or containerized environments (e.g., Docker, FastAPI, Flask).

· Excellent analytical and debugging skills; ability to independently research, prototype, and solve complex problems end-to-end.

voice AI systems

Nice to Have:

• Familiarity with

  regulatory and compliance frameworks

  relevant to AI in life sciences, such as

  GxP

  ,

  HIPAA

  ,

  GDPR

  , or similar standards.
• Experience integrating AI models into

  enterprise platforms

  ,

  pharma-specific systems

  , or

  regulated IT environments

  .
• Knowledge of

  agent frameworks

  (e.g., AutoGen, CrewAI, LangGraph) and how to operationalize them in real-world use cases.
• Exposure to

  speech recognition APIs

  , voice interface design, or building

  voice-enabled assistants

  .

Educational Qualifications:

• Bachelor’s Degree

  in Engineering (B.E./B.Tech.) or

  Master’s Degree in Computer Applications (MCA/ M.Tech)

  .

• Additional Qualifications

  in

  Artificial Intelligence, Machine Learning, or Data Science

  are highly desirable.

Benefits We Offer:

• Access to a

  state-of-the-art facility

  equipped with modern and collaborative workspaces.

• Free gym facility

  to promote health and well-being of employees.
• Dynamic and inclusive work environment focused on innovation and continuous learning.
• Opportunity to work on impactful projects at the intersection of AI and life sciences.
• Competitive compensation.