Job Description
We are seeking a highly skilled Senior AI/ML Engineer / Developer with strong expertise in building scalable AI/ML platforms, Generative AI solutions, and enterprise-grade machine learning systems. The ideal candidate should have hands-on experience in AI orchestration, Retrieval-Augmented Generation (RAG), LLM integrations, data engineering, and cloud-native AI architectures.
Education :
Bachelor s or Master s degree in Computer Science, Data Science, Information Technology, or related field. Key Responsibilities:
Design, develop, and deploy scalable AI/ML and Generative AI solutions Build enterprise AI platforms using LLMs, RAG architectures, and vector databases Develop intelligent AI agents and multi-agent orchestration workflows Implement prompt engineering, tool integrations, and LLM evaluation frameworks Build and optimize vector search systems using OpenSearch/FAISS with hybrid retrieval techniques Develop real-time and batch data pipelines using PySpark, Kafka, Databricks, and Delta Lake Implement MLOps pipelines using MLflow, CI/CD, Docker, and Kubernetes Design cloud-native AI applications on AWS/Azure platforms Implement observability, monitoring, and evaluation pipelines for AI systems Collaborate with business stakeholders, architects, and data scientists to deliver AI-driven solutions Ensure AI governance, data security, RBAC, compliance, and performance optimization Required Skills:
Strong experience in Python, SQL, Spark/PySpark Hands-on experience with Generative AI, LLMs, RAG, LangChain, OpenAI APIs Experience with vector databases/search technologies like OpenSearch kNN and FAISS Strong experience in AI/ML platform development and deployment Expertise in Azure Databricks, AWS services (EKS, S3, Athena, SNS, OpenSearch) Experience with Kafka/Event Hub/Kinesis streaming systems Knowledge of MLflow, Docker, Kubernetes, Terraform, and CI/CD pipelines Experience with AI observability and monitoring tools such as OpenTelemetry, ELK, or Datadog Understanding of enterprise security and compliance standards (HIPAA, SOX, GDPR) Preferred Qualifications:
Experience with Agentic AI and multi-agent systems Experience with multi-tenant AI platform architecture Exposure to C3.ai or enterprise AI platforms Strong communication and stakeholder management skills
