Junior Generative AI Engineer
Techfield, LLC
New York, NY, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Compensation
$74,880.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Application Integration Architecture
Microsoft Azure
Cloud Computing
Information Engineering
Python (Programming Language)
Machine Learning
Natural Language Processing
Tensorflow
Chatbots
+10 more
Pytorch
Large Language Models
Prompt Engineering
Model Validation
Generative AI
Information Technology
Low Latency
HuggingFace
Machine Learning Operations
GPT
Job description
- Design, build, and deploy generative AI models and applications (LLMs, chatbots, content generation tools)
- Develop and optimize prompts, workflows, and pipelines for AI-driven solutions
- Collaborate with cross-functional teams (Product, Engineering, Business) to identify AI use cases and implement solutions
- Fine-tune pre-trained models and evaluate model performance
- Integrate AI solutions into existing systems and platforms
- Stay up to date with advancements in generative AI, machine learning, and NLP
- Ensure ethical AI practices, data privacy, and compliance standards are met
- Troubleshoot and improve model accuracy, latency, and scalability
Requirements
Do you have experience in Natural language processing?, Do you have a Master’s degree?, We are seeking a highly motivated and innovative Generative AI Engineer to join our growing team. This individual will play a key role in designing, developing, and deploying cutting-edge generative AI solutions that enhance business processes, improve customer experiences, and drive operational efficiency., * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- 2+ years of experience in machine learning, AI, or data science
- Hands-on experience with generative AI models (e.g., GPT, diffusion models)
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Experience with APIs and AI integration (OpenAI, Hugging Face, etc.)
- Strong understanding of natural language processing (NLP)
- Familiarity with cloud platforms (AWS, Azure, or GCP), * Experience with prompt engineering and LLM optimization
- Knowledge of vector databases and embeddings
- Experience deploying AI applications in production environments
- Background in data engineering or MLOps
- Exposure to tools like LangChain, LlamaIndex, or similar frameworks, * Problem-solving and analytical thinking
- Strong communication and collaboration skills
- Ability to translate business needs into technical solutions
- Continuous learning mindset in a fast-evolving field, * Master’s (Required)
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance
- Relocation assistance, * Competitive salary and performance-based incentives
- Opportunity to work on cutting-edge AI technologies
- Collaborative and innovative work environment
- Career growth and development opportunities
Pay: From $36.00 per hour, * 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Relocation assistance
- Vision insurance
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