Job Description
Role: Junior Gen AI Developer
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Location: Dallas, TX (Onsite)
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Duration: Long-term contract
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Job Description:
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Required skills:
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- Generative AI and Large Language Models (LLMs)
- Agentic AI and Multi-Agent Systems
- RAG Architecture and Semantic Search
- Prompt Engineering
- Fine-Tuning and Model Evaluation
- Custom ML Model Development
- Classification Models
- Clustering Models
- Recommendation Systems
- Predictive Analytics
- Feature Engineering
- MLOps and Model Lifecycle Management
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Frameworks & Libraries:
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LangGraph, AutoGen, LangChain, CrewAI (preferred), MCP (Model Context Protocol), OpenAI APIs, Anthropic Claude APIs, Hugging Face, Ecosystem, Scikit-Learn, XGBoost, PyTorch, TensorFlow (preferred)
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Data & Analytics Platforms
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Snowflake, Databricks, SQL, Vector Databases, Feature Stores, Data Warehousing Concepts
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Backend & APIs
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Python, Flask, REST APIs, FastAPI
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Nice to have skills:
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Cloud & DevOps, Microsoft Azure, Azure Kubernetes Service (AKS), Docker, Kubernetes, CI/CD Pipelines, Azure DevOps, GitHub
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Front-End (Good to Have)
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React, Angular
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Preferred Experience
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- Building enterprise AI assistants and conversational platforms.
- Developing AI-powered analytics and decision-support systems.
- Designing agent orchestration frameworks and workflow automation platforms.
- Working with telecom, marketing analytics, customer intelligence, or large-scale enterprise datasets.
- Experience handling datasets with millions of records and deploying AI solutions at scale.
- Exposure to AI governance, responsible AI, and model monitoring frameworks
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