AI/ML Engineer / Developer

Unisoft Technology Inc
Baltimore, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Baltimore, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Continuous Integration
Information Engineering
Data Security
Monitoring of Systems
Python
Performance Tuning
Role-Based Access Control
Azure
Search Technologies
SQL Databases
Datadog
Large Language Models
Multi-Agent Systems
Prompt Engineering
Spark
Generative AI
Data Lake
AI Platforms
PySpark
Kubernetes
Information Technology
Kafka
Machine Learning Operations
Virtual Agents
Terraform
Stream Processing
Data Pipelines
Docker
Databricks

Job description

  • 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

Requirements

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., Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field., * 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), * 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

Apply for this position