Junior Generative AI Engineer

Techfield, LLC
New York, NY, United States
3 months ago

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · WWC 2024

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

1:00 min

Introduction to chatbot infrastructure and cloud challenges

Stan Girard Stan Girard · WWC 2024

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · WWC 2025

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · WWC Europe 2026

Videos

See all

Related articles

See all