GenAI Developer

BlackCube Labs; Pittsburg (CA); On-site; USD 62,000 - 69,000; Full time

Job summary

BlackCube Labs is seeking a GenAI Developer for a 6-month onsite assignment in Pittsburg, PA. You will design, develop, and deploy Generative AI solutions using enterprise AI platforms and LLMs to deliver real business value.

You will implement RAG, prompt engineering, and AI-based automation with Python, build APIs and backend services, and ensure security and governance while collaborating with customers to move concepts to production.

Qualifications

• Experience with Generative AI/LLMs and enterprise AI platforms.
• Proficient in Python programming and prompt engineering.
• Experience building RAG architectures and AI/ML concepts.
• Design and consume REST APIs; SQL proficiency.
• Experience with cloud platforms (AWS/Azure).
• Familiarity with Git, CI/CD, and automation tools (Ansible preferred).

Responsibilities

• Design, develop, and deploy GenAI solutions using enterprise AI platforms.
• Build GenAI-powered applications leveraging LLMs.
• Develop AI-based automation using Python.
• Implement RAG, prompt engineering, summarization, and intent classification.
• Integrate AI with enterprise apps, ITSM tools, and data sources.
• Develop APIs and backend services for AI workflows.
• Deploy and manage AI solutions via CI/CD and IaC.
• Ensure security, governance, and data privacy compliance.
• Collaborate with customers to identify AI use cases and drive production deployment.

Skills

GenAI / LLMs

Python

Prompt Engineering

RAG Architecture

AI/ML Concepts

REST APIs

SQL

AWS

Azure

Git

CI/CD

Ansible

Job description

GenAI Developer

Request ID: 109021-1

Location: Pittsburg, PA (Onsite)

Duration: 6 months

Pay Range: $45 - $50/Hour on W2/C2C (All inclusive)

JOB DESCRIPTION

• 1. Design| develop| and deploy Generative AI solutions using enterprise AI platforms.
• 2. Build GenAI-powered applications leveraging Large Language Models (LLMs).
• 3. Develop AI-based automation solutions using Python.
• 4. Implement Retrieval-Augmented Generation (RAG)| prompt engineering| summarization| and intent classification techniques.
• 5. Integrate AI solutions with enterprise applications| ITSM tools| and business data sources.
• 6. Develop APIs and backend services to support AI workflows.
• 7. Deploy and manage AI solutions through CI/CD pipelines and Infrastructure as Code.
• 8. Ensure compliance with security| governance| and data privacy standards.
• 9. Collaborate with customers to identify AI use cases and drive implementation from concept to production.

Essential Skills

• 1. Generative AI / LLMs
• 2. Python Programming3. Prompt Engineering
• 3. RAG Architecture5. AI/ML Concepts
• 4. REST APIs
• 5. SQL
• 6. Cloud Platforms (AWS/Azure)
• 7. Git| CI/CD10. Automation Tools (Ansible preferred)

Experience Required: 6-8

Company Benefits & Culture

• Opportunity to work with a dynamic team in a fast-paced environment
• Exposure to cutting-edge technologies and methodologies
• Supportive and collaborative work culture

Thanks