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Job Description AI Developer / Generative AI Engineer Company: Autovyn Consultancy Pvt. Ltd. Number of Positions: 2 Experience Required: 4 5 Years Suggested Position Titles: AI Developer Generative AI Engineer Job Summary:Autovyn Consultancy Pvt. Ltd. is seeking a motivated and technically strong AI Developer with 4 to 5 years of hands-on experience in Machine Learning and Generative AI. The candidate will work on building intelligent systems, integrating Large Language Models (LLMs), designing , deploying scalable AI solutions. Key Responsibilities: Design, develop, and implement Machine Learning and Generative AI solutions. Build and integrate LLM-powered applications using RAG architecture. Work on prompt engineering and optimize LLM outputs for business use cases. Integrate open-source models (LLaMA, Mistral, Hugging Face models). Develop and consume APIs using FastAPI or Flask. Deploy AI models on cloud platforms (AWS/GCP/Azure). Fine-tune LLMs and optimize model performance. Work with vector databases and embedding pipelines. Collaborate with cross-functional teams to integrate AI features into products. Maintain documentation, version control, and follow best coding practices. Required Technical Skills: Strong understanding of Machine Learning algorithms (Regression, Classification, Clustering, NLP basics). Hands-on experience in Python (NumPy, Pandas, Scikit-learn). Experience with Generative AI and LLM integration. Practical knowledge of Prompt Engineering. Experience working with Open-Source Models (LLaMA, Mistral, Hugging Face models). Experience building and consuming APIs (FastAPI / Flask). Basic knowledge of model deployment and cloud platforms (AWS/GCP/Azure). Familiarity with Git and version control. Experience with LangChain / LlamaIndex. Knowledge of Vector Databases (FAISS, Pinecone, Weaviate). Exposure to MLOps tools (MLflow, Docker, CI/CD). Basic understanding of Speech-to-Text (STT) and Text-to-Speech (TTS) systems. Educational Qualification:Bachelors degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related field. Soft Skills: Strong analytical and problem-solving abilities. Good communication and teamwork skills. Self-driven with an eagerness to learn new AI technologies. Ability to work in a fast-paced development environment. Job Description AI Developer / Generative AI Engineer Company: Autovyn Consultancy Pvt. Ltd. Number of Positions: 2 Experience Required: 4 5 Years Suggested Position Titles: AI Developer Generative AI Engineer Job Summary:Autovyn Consultancy Pvt. Ltd. is seeking a motivated and technically strong AI Developer with 4 to 5 years of hands-on experience in Machine Learning and Generative AI. The candidate will work on building intelligent systems, integrating Large Language Models (LLMs), designing , deploying scalable AI solutions. Key Responsibilities: Design, develop, and implement Machine Learning and Generative AI solutions. Build and integrate LLM-powered applications using RAG architecture. Work on prompt engineering and optimize LLM outputs for business use cases. Integrate open-source models (LLaMA, Mistral, Hugging Face models). Develop and consume APIs using FastAPI or Flask. Deploy AI models on cloud platforms (AWS/GCP/Azure). Fine-tune LLMs and optimize model performance. Work with vector databases and embedding pipelines. Collaborate with cross-functional teams to integrate AI features into products. Maintain documentation, version control, and follow best coding practices. Required Technical Skills: Strong understanding of Machine Learning algorithms (Regression, Classification, Clustering, NLP basics). Hands-on experience in Python (NumPy, Pandas, Scikit-learn). Experience with Generative AI and LLM integration. Practical knowledge of Prompt Engineering. Experience working with Open-Source Models (LLaMA, Mistral, Hugging Face models). Experience building and consuming APIs (FastAPI / Flask). Basic knowledge of model deployment and cloud platforms (AWS/GCP/Azure). Familiarity with Git and version control. Experience with LangChain / LlamaIndex. Knowledge of Vector Databases (FAISS, Pinecone, Weaviate). Exposure to MLOps tools (MLflow, Docker, CI/CD). Basic understanding of Speech-to-Text (STT) and Text-to-Speech (TTS) systems. Educational Qualification:Bachelors degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related field. Soft Skills: Strong analytical and problem-solving abilities. Good communication and teamwork skills.