AI Engineer / Senior AI Engineer
- Compensation
- Not disclosed
- Location
- Gurugram, Pune
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Nice to have
- Hands-on experience building AI/ML applications, including working with LLMs, Generative AI, and NLP frameworks
- Strong proficiency in Python and experience with AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow)
- Proven experience integrating AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI, Azure OpenAI) into production-grade applications
- Experience building and deploying internal tools and applications (e.g., using Streamlit, Gradio, Flask, FastAPI, or React)
- Ability to build client-facing tools and services that are reliable, user-friendly, and production-ready
- Expertise in building proof-of-concepts (POCs) and rapid prototypes to validate AI-driven solutions
- Experienced with cloud platforms (AWS, Azure, GCP) and services
- Proficient in API development (RESTful/GraphQL) and version control (e.g., Git)
- Expertise in SQL, Python, and databases
- Familiar with data pipeline tools (e.g., Airflow, dbt) and data warehouse technologies (e.g., Snowflake, Redshift, Databricks)
- Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and AI agent frameworks
- Strong knowledge of AI safety, responsible AI practices, and model evaluation techniques
- Knowledge of US pharma datasets and healthcare concepts is a plus
- Strong problem-solving, communication, and client-facing skills
- Proficient in Agile/Scrum and project management tools (e.g., JIRA, Smartsheet)
Full description
AI Engineer / Senior AI Engineer - AI Solutions & Innovation
Blue Matter is a rapidly growing management consultancy focused in the biopharmaceutical industry. We partner with our clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations. Our project types include providing decision support through insights and analytics for new product planning, launch strategy, portfolio / disease area strategy, and organizational strategy / change management. Most of our work is in specialty therapeutics, with oncology and rare diseases a specific area of expertise.
We have a unique entrepreneurial culture and invest in building Blue Matter as the best place to work for our team. We have offices in NY, San Francisco, Boston, London, Zurich, Mumbai, Pune & Gurgaon.
As an AI Engineer / Senior AI Engineer, you will work across Blue Matter as a technical expert in AI and emerging technologies, playing a key role in designing, building, and deploying AI-powered solutions for both internal teams and clients. You will be at the forefront of integrating APIs, building proof-of-concepts (POCs), developing internal applications, and creating client-facing tools and services. This role is ideal for someone who is passionate about staying current with the rapidly evolving AI landscape and eager to apply cutting-edge techniques to solve real-world problems in life sciences.
Primary Responsibilities
As a key member of cross-functional client-facing teams, develop and execute project plans to support initiatives that include, but are not limited to:
- Design, develop, and deploy AI/ML solutions and Generative AI applications to support commercial data and analytics for life sciences companies
- Integrate third-party AI APIs (e.g., OpenAI, Anthropic, Google Gemini, Hugging Face) into internal and client-facing applications to deliver intelligent, scalable solutions
- Build proof-of-concepts (POCs) and rapid prototypes to demonstrate the value of AI-driven approaches for product launch analytics, drug discovery, patient analytics, and data operations
- Develop and maintain internal tools and applications that streamline workflows, automate operational processes, and enhance team productivity using AI
- Build client-facing tools and services that leverage AI to deliver actionable insights, interactive dashboards, and intelligent recommendations
- Utilize cloud-service providers (e.g., AWS, Azure, or GCP) including services such as S3, EC2, Lambda, Azure OpenAI, and SageMaker to build and deploy scalable AI solutions
- Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews
- Design and implement data pipelines and ETL processes to support AI model training, fine-tuning, and inference workflows