Gen AI Engineer
17 hours ago
Job Title: Gen AI Engineer
Experience: 2+ Years
Location: Indore
Employment Type: Full-Time
Job Description:
We are looking for a Generative AI Engineer to join our growing team. The ideal candidate should have
hands-on experience working with LLMs, RAG pipelines, NLP, and AI model deployment. This role offers a great opportunity to work on cutting-edge AI solutions and build real-world applications under the guidance of a senior team.
Responsibilities:
- Collaborate with product and engineering teams to understand AI use cases and deliver solutions using Generative AI and LLMs (GPT, Claude, LLaMA, Mistral).
- Deploy and monitor models using cloud services such as AWS or Azure.
- Work with DevOps and backend teams to ensure smooth integration and performance tuning.
- Design, build, and fine-tune AI models for use in NLP tasks, chatbots, and content generation systems.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for scalable performance.
- Stay current with the latest trends in AI research, LLM development, and open-source AI tooling.
- Support data preprocessing, prompt engineering, and experimentation with large language models.
Required skillset:
- 2 to 4 years of experience in AI/ML development or research.
- Strong proficiency in Python and libraries such as Transformers, LangChain, Hugging Face, etc.
- Good understanding of LLMs, their capabilities, limitations, and use in production.
- Exposure to cloud services (AWS, Azure, or GCP) for deploying and managing AI workloads.
- Solid understanding of NLP concepts like embeddings, tokenization, summarization, etc.
- Familiarity with API integration and model deployment using tools like Docker/FastAPI.
- Analytical mindset, with good communication and problem-solving skills.
- Ability to work in an agile, fast-paced team environment.
Good to have:
- Experience building or deploying RAG pipelines and using vector databases (e.g., FAISS, Pinecone, Weaviate).
- Knowledge of MLOps, model monitoring, and lifecycle management.
- Exposure to CI/CD workflows and version control tools (e.g., Git, GitHub Actions).
- Previous contributions to open-source AI projects or participation in AI hackathons.
- Awareness of AI ethics, privacy, and responsible AI practices.
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