Agentic AI / ML Software Engineer
Congensys Corp
Jersey City, NJ, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Computer Programming
Continuous Integration
Distributed Systems
Monitoring of Systems
Python (Programming Language)
Machine Learning
Tensorflow
Software Engineering
+7 more
Enterprise Software Applications
Large Language Models
Prompt Engineering
Kubernetes
Slurm
Machine Learning Operations
Virtual Agents
Job description
We are seeking an experienced Agentic AI / ML Software Engineer to design, develop, and deploy enterprise-scale AI and Machine Learning solutions. The ideal candidate will have strong experience implementing Agentic AI applications, building production-ready ML models, and leveraging cloud platforms to deliver scalable AI solutions., * Design, develop, train, and deploy large-scale AI/ML models for enterprise applications.
- Build and optimize Agentic AI workflows and orchestration frameworks.
- Develop prompt engineering strategies for LLM-based applications.
- Deploy and manage AI workloads on cloud platforms.
- Build scalable distributed AI systems using technologies such as Kubernetes, Ray, or Slurm.
- Implement MLOps best practices including MLflow, model monitoring, CI/CD pipelines, and model lifecycle management.
- Collaborate with Product Managers, Data Scientists, and Engineering teams to deliver AI-driven business solutions.
- Ensure high-quality, scalable, and production-ready AI solutions.
Required Technical Skills
- Agentic AI
- Large Language Models (LLMs)
- Prompt Engineering
- Python or Java
- Machine Learning
- AWS / Azure
- Kubernetes
- Ray
- Slurm
- MLflow
- MLOps
- Model Monitoring
- CI/CD for ML
- Distributed Systems
Requirements
- 8+ years of overall Software Engineering experience.
- Hands-on experience implementing Agentic AI solutions in production environments.
- Strong programming experience in Python or Java.
- Solid experience with Machine Learning frameworks and tools.
- Experience working with public cloud platforms such as AWS or Azure.
- Excellent verbal and written communication skills.
- Proven ability to collaborate with cross-functional teams., * Investment Banking or Financial Services experience.
- KYC (Know Your Customer) domain experience.
- Strong AWS experience.
- Hands-on technical leadership experience.
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