Gen AI Engineer

4 weeks ago

Indore, India Vitric Business Solutions Pvt. Ltd. Full time

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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