Key Skills: Python, Generative AI, LangChain Development, Apache Spark, Retrieval-Augmented Generation, Lang graph, Fast Api, BGE Embedding Models, LLM, Hugging face, Prompt Engineering, Vector Database Integration, Open AI
Roles and Responsibilities:
Design and develop AI/ML applications using Python, Generative AI, LangChain, LangGraph, FastAPI, and RAG patterns.
Build scalable data pipelines and processing workflows using Apache Spark, Hadoop, and Kafka.
Integrate AI capabilities into production applications with reliable APIs and backend services.
Work on Life Sciences use cases and apply domain knowledge to solution design and implementation.
Support model integration, retrieval workflows, and data platform alignment for enterprise AI solutions.
Skills Required:
5+ years of relevant experience in AI/ML and data engineering environments.
Solid hands-on experience with Python, Generative AI, LangChain,



LangGraph, FastAPI, and RAG.
Experience designing AI/ML-enabled systems with scalable data architecture and production integration.
Ability to work with Apache Spark, Hadoop, and Kafka in data-intensive environments.
Experience building and supporting APIs and backend services for AI applications.
Good to Have:
LLM fine-tuning, prompt engineering, and embedding models.
Vector databases such as Pinecone or Weaviate.
OpenAI API and Hugging Face Transformers.
Cloud exposure across AWS, Azure, or GCP, including SageMaker, Azure ML, or Vertex AI.
Life Sciences industry experience.
Education: Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's preferred.

📌 Senior AI/ML Engineer_102655 (Chennai)
🏢 MyCareernet
📍 Chennai