Job title: Developer
Client: Telecom domain
Location: NY, NY - hybrid
Position Type- Contract
Please reply with your expected Contract rate range--
Job Summary –
Must Have's:
Develop LangGraph based Agentic Framework implementation
• Use Large Language Models for content generation
- Create Prompt templates for LLMs
- Fluent in Python, Jupyter Notebooks
- Experience in RAG pipelines / Vector Databases
• Develop Python-based parsers for PDFs
• Experience on Node.js programming and testing
- Experience on deployment in AWS or GCP
Job Description/ Responsibilities
· Development and testing of a Generative AI solution, either Agentic or non-AgenticAI
· Deep understanding of any framework, either Langgraph or Autogen or CrewAI
· Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF, and success measurement.
· Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases.
· Designing end-to-end Generative AI solutions tailored to specific use cases.
· Deep understanding of automation and AI technologies and their application in business operations.
Regards,
Compest Solutions Inc
D: 647-660-7562
Job Type: Contract
Pay: $35.00 - $38.00 per hour
Expected hours: 40 per week
Experience:
- Software engineer /Developer: 10 years (Preferred)
- Python: 10 years (Preferred)
- Node JS: 10 years (Preferred)
- Large Language Models: 10 years (Preferred)
- Designing end-to-end Generative AI solutions: 10 years (Preferred)
- Validation, Advanced RAG, RLHF: 10 years (Preferred)
- Langgraph or Autogen or CrewAI: 10 years (Preferred)
- Development and testing Agentic or non-AgenticAI: 10 years (Preferred)
- deployment in AWS or GCP: 10 years (Preferred)
- RAG pipelines / Vector Databases: 10 years (Preferred)
- Python, Jupyter Notebooks: 8 years (Preferred)
- Create Prompt templates for LLMs: 8 years (Preferred)
- Develop LangGraph based Agentic Framework: 8 years (Preferred)
Work Location: On the road
