Python + Gen AI
At a glance
Mid-level AI Engineering role at Fa Ertb Saasfaprod1. India · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design and launch generative models, including LLMs, GPT and diffusion systems
- Adapt existing models through Hugging Face, OpenAI or other named frameworks
- Develop the data flows and APIs that enable model training and inference
- Connect AI capabilities to production applications and improve their speed, dependability and output quality
- Work with data science, product and engineering groups to turn business needs into AI solutions
What you bring
- At least three years of professional Python programming
- Practical experience with tools such as LangChain, Hugging Face Transformers or another listed GenAI framework
- Experience with LLM adaptation, prompt design, embeddings or vector databases
- Familiarity with PyTorch, TensorFlow or another listed ML framework, plus NLP fundamentals
- Working knowledge of REST APIs, Docker and cloud platforms such as AWS, GCP or another listed provider
Who this fits
This mid-level position suits a Python developer with experience building and deploying generative AI models, from development through production integration. The stated location is India.
From the employer
Job Summary:
We are looking for a talented Generative AI Developer with strong Python expertise to join our team. The ideal candidate will have hands-on experience in building and deploying AI/ML models, especially in the field of Generative AI (e.g., LLMs, Diffusion Models, Transformers). You’ll work closely with data scientists, product managers, and engineering teams to integrate intelligent, generative capabilities into real-world applications.
Key Responsibilities:
- Design, develop, and deploy Generative AI models (e.g., LLMs, GPT, diffusion models, VAEs).
- Fine-tune pre-trained models using Hugging Face, OpenAI, or other frameworks.
- Build data pipelines and APIs to support training and inference.
- Integrate AI functionality into production systems and applications.
- Evaluate and improve model performance, latency, and reliability.
- Stay current with the latest GenAI research and rapidly evolving ecosystem.
- Collaborate with cross-functional teams to understand business requirements and deliver AI-powered solutions.
Must-Have Skills:
- Strong Python programming experience (3+ years).
- Experience with Generative AI frameworks such as Hugging Face Transformers, LangChain, OpenAI API, or LLamaIndex.
- Familiarity with ML/DL frameworks: PyTorch, TensorFlow, or JAX.
- Experience with LLM fine-tuning, prompt engineering, embeddings, or vector databases.
- Understanding of NLP concepts: tokenization, embeddings, attention mechanisms.
- Working knowledge of REST APIs, Docker, and cloud services (AWS/GCP/Azure).