Quick overview
Job description
Generative AI Engineer
Location: USA
Job Type: Full-Time
Work Arrangement: Remote / Hybrid / On-site
Experience: s to 3+ years
Salary: USD $150,000–$200,000/year
About the Role
We are looking for a Generative AI Engineer to build and deploy AI-powered applications using modern LLMs, generative AI frameworks, and machine learning technologies.
Key Responsibilities
- Develop and deploy LLM and Generative AI applications.
- Build RAG (Retrieval-Augmented Generation) pipelines.
- Work with embeddings, vector databases, and semantic search.
- Integrate LLM APIs into production applications.
- Fine-tune and evaluate AI/ML models where appropriate.
- Develop AI agents and intelligent automation workflows.
- Optimize model performance, latency, and cost.
- Collaborate with software engineers and product teams.
- Build APIs and production-ready AI services.
Required Skills
- Python
- Generative AI / LLMs
- OpenAI / Gemini / Claude APIs
- RAG
- Prompt Engineering
- LangChain / LlamaIndex
- Hugging Face
- Vector Databases
- REST APIs
- Git / GitHub
- SQL
- Machine Learning fundamentals
Preferred Skills
- PyTorch / TensorFlow
- AWS / Azure / Google Cloud Platform
- Docker / Kubernetes
- Fine-tuning / LoRA / PEFT
- NLP
- AI Agents
- MCP
- PostgreSQL / MongoDB
- Pinecone / Weaviate / FAISS
- MLOps / CI/CD
Education
Master's degree in Computer Science, AI/ML, Data Science, Software Engineering, or a related technical field.
Candidate Criteria
- s and candidates with 1–3 years of experience.
- Currently living in the USA.
- Relevant AI/ML, GenAI, software development, internship, or project experience.
- Valid US work authorization, where required (F1-OPT/STEM opt/H1-B).
- Open to Work / actively seeking opportunities.
Target Job Titles
Generative AI Engineer | GenAI Engineer | AI Engineer | Machine Learning Engineer | LLM Engineer | Applied AI Engineer | NLP Engineer | AI/ML Engineer | Generative AI Developer | LLM Application Engineer
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