AI Developer, Location:Dallas,TX

[Vijaya Laxmi Avuti]

AI Developer - 2 to 5 years of experience in following skills

Share resumes at vijaya...@eraytec.com

 

Core Technical Requirements

 

Programming Proficiency: 

      Strong experience with Python, plus one or more languages such as Java, JavaScript etc.

AI/ML Expertise: 

·                     Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)

·                     Understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.)

·                     Familiarity with LLMs, prompt engineering, and fine-tuning techniques.

·                     Strong knowledge of data preprocessing, feature engineering, and model evaluation.

Cloud & Infrastructure: 

·                     Experience deploying AI/ML models on cloud platforms (Azure).

·                     Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.

·                     Strong understanding of version control (Git), code reviews, and testing.

·                     Experience building scalable APIs and microservices for AI applications.

 

 

AI Architect - 6+ years of experience in following including leading or architecting AI-driven solutions

 

 

All the above plus following

Ability to design scalable AI systems and integrate them into enterprise platforms. Experience in designing data pipelines, vector databases, or retrieval-augmented generation (RAG) systems. Familiarity with MLOps tools (MLflow) and observability practices.

 

Both candidates should have 

 

Communication & Collaboration 

Excellent written and verbal communication skills — able to translate complex AI concepts for technical and non-technical audiences. Proven ability to work cross-functionally with product managers, data scientists, and business stakeholders. Comfortable leading technical discussions, demos, and documentation.

 

Educational & Experience Requirements 

Bachelor's or master's degree in computer science, Engineering, Mathematics, or related field. 2–5 years of hands-on AI/ML development experience.

 

Focused Skills:

Experience with Generative AI (OpenAI, Anthropic, Hugging Face, etc.)

Familiarity with LLM orchestration frameworks (LangChain, Semantic Kernel).

Knowledge of responsible AI, model explainability, and bias mitigation.

Contribution to open-source AI projects or research publications. (For AI Architect)

Experience mentoring junior engineers. (For AI Architect)

 

Key Soft Skills

Problem-solving mindset with creativity and adaptability.

Ownership and accountability for deliverables.

Continuous learner — stays current with evolving AI technologies.

Team player with collaborative and inclusive communication style.