Senior Java & AI Engineer | AI Agent Development Resolution Technologies, Inc.
Plano, TX26 days ago
- $135,000–$150,000 Per Year
- Full-time
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Skills
- Amazon Web Services (AWS)unmatched
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Cachingunmatched
- Call Centersunmatched
- Certified Coding Specialist (CCS)unmatched
- Cloud Computingunmatched
- Computer Programmingunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Dental Insuranceunmatched
- Dockerunmatched
- GCP (Good Clinical Practices)unmatched
- Health Insuranceunmatched
- LEX (LEXical analyzer)unmatched
- Leadershipunmatched
- Microsoft Windows Azureunmatched
- Performance Modelingunmatched
- Performance Tuning/Optimizationunmatched
- Python Programming/Scripting Languageunmatched
- Reinforcement Learningunmatched
- Return on Investment (ROI)unmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- Technical Strategyunmatched
- Vision Planunmatched
Description
Replies within 24 hours
Benefits:
- Bonus based on performance
- Dental insurance
- Health insurance
- Vision insurance
Qualifications:
- 8+ years of software engineering and development experience
- Proven experience in building and deploying GenAI applications in production.
- Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
- Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
- Hands-on experience designing and building cloud-native solutions (preferably on AWS)
- Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock)
- Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)
- AWS AI certification
Responsibilities
- Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
- Fine-tune foundation models using domain-specific data.
- Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
- Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
- Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
- Monitor and optimize model performance, latency, and cost.
- Use techniques like quantization, distillation, and caching to improve efficiency.
Compensation: $85.00 - $110.00 per hour
About Us
The company is passionate about CX. The collective experiences in leadership roles across firms enable CCS to bring passion, perspective, data-driven decision making to guide, advise, and support organizations throughout their CX journey.
- We are a “people” company.
- We are a flat organization.
- We believe the best idea win.
- We believe in radical truth.
- We attract strong-minded people with fierce intellect.
Mission Statement:
CCS is recognized as a leader in the Contact Center space. Our longstanding history and industry-leading position speak to our success in providing CX solutions centered around the leaders in contact center solutions and strategic technology partners that empower organizations to actualize ROI and sustain a truly competitive advantage in a fast-changing CX environment.
Numbers & Facts
| Location | Plano, Texas |
| Website | www.ngenccs.com |
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