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# Generative AI Engineer

- **Company:** TechniPros, LLC
- **Location:** Washington, DC, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Open Source Technology, Rapid Prototyping Process, Tensorflow, Workflow Management Systems, GitHub Copilot, Pytorch, Large Language Models, Prompt Engineering, Generative AI, HuggingFace, Machine Learning Operations, Virtual Agents, Automation Anywhere, Api Management
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/40d5a3f5-9f53-4395-a077-fd68a2ae0040

## About the Role

* Strong Python programming skills.
 * TensorFlow
 * PyTorch
 * Large Language Models (LLMs)
 * Prompt Engineering
 * RAG
 * LangChain
 * LangSmith
 * CrewAI
 * Vector Databases
 * OpenAI
 * Anthropic
 * Hugging Face
 * Azure AI
 * AWS Bedrock
 * GitHub Copilot
 * AI SDKs
 * MLOps
 * API Integrations

Preferred Qualifications:

 * Fine-tuning LLMs
 * LoRA
 * Agentic AI
 * Workflow Orchestration
 * Open-Source AI Contributions
 * AI Research Publications
 * Cloud AI Certifications

Desired Soft Skills:

 * Excellent communication and presentation skills
 * Strong documentation skills
 * Research-oriented mindset
 * Problem-solving abilities
 * Ability to work in fast-paced environments
 * Strong collaboration and stakeholder management skills

## Description

We are looking for a highly motivated Generative AI Engineer with AI Engineering experience to join the Business Support team. The ideal candidate will research emerging AI technologies, develop rapid prototypes, build GenAI workflows, benchmark LLMs, and collaborate with engineering teams to transition AI innovations into production-ready enterprise solutions., * AI Research & Innovation

 * Research advancements in AI/ML, LLMs, Agentic AI, and multimodal AI.
 * Evaluate emerging AI frameworks and technologies.
 * Identify opportunities to improve business processes using AI.
 * Rapid Prototyping
 * Develop proof-of-concept AI applications using Python.
 * Build AI workflows and agent-based systems.
 * Create Retrieval-Augmented Generation (RAG) applications.
 * Integrate modern AI APIs and SDKs.
 * Technical Evaluation
 * Perform model benchmarking and evaluation.
 * Conduct prompt engineering experiments.
 * Fine-tune and optimize AI models.
 * Document technical findings and recommendations.
 * Collaboration
 * Partner with Engineering, Product, and Data Science teams.
 * Transition prototypes into production-ready AI systems.
 * Present technical demonstrations and AI recommendations.
 * Knowledge Sharing
 * Monitor AI industry trends.
 * Share research findings internally.
 * Conduct AI workshops and technical sessions.


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- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
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- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

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