Job Summary

We are looking for an AI Engineer to design, develop, deploy and maintain AI/ML solutions that solve real-world business problems. The ideal candidate has robust programming and machine-learning fundamentals, hands-on experience with Generative AI, LLMs, NLP or computer vision, and the ability to take AI solutions from experimentation to production.

Experience: 9yrs to 18yrs

Key Responsibilities

- Design, develop, and deploy AI/ML models and applications.
- Build Generative AI and LLM-based applications, including RAG, AI agents, and prompt-based solutions.
- Develop data pipelines for training, evaluation, and inference.
- Integrate AI models and APIs into production applications.
- Implement model evaluation, monitoring, optimization, and continuous improvement.
- Work with vector databases, embeddings, retrieval systems, and knowledge bases.
- Fine-tune or adapt machine-learning/LLM models when required.
- Collaborate with software engineers, data scientists, product managers, and business stakeholders.
- Write clean, maintainable, well-tested production code.
- Deploy AI applications using cloud platforms and containerized environments.
- Stay current with developments in AI, machine learning, LLMs, and related technologies.

Required Skills





- Robust proficiency in Python.
- .Net and C# or Java
- Good understanding of machine learning and deep learning concepts.
- Experience with frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Hands-on experience with LLMs, Generative AI, NLP, or computer vision.
- Experience with REST APIs and integrating AI services into applications.
- Knowledge of SQL and data processing.
- Understanding of Git, Docker, CI/CD, and software development practices.
- Familiarity with cloud platforms such as AWS, Azure or Google Cloud.
- Strong problem-solving and analytical skills.

Preferred Skills

- Experience with RAG architectures and vector databases such as FAISS, Pinecone, Weaviate, or Milvus.
- Experience with LLM frameworks such as LangChain or LlamaIndex.
- Knowledge of model serving and inference optimization.
- Experience with AI evaluation and observability.
- Familiarity with Kubernetes and MLOps.
- Experience working with open-source LLMs and model fine-tuning.
- Knowledge of responsible AI, security, and data privacy practices.

Education

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering.

📌 Artificial Intelligence Engineer (Mumbai)
🏢 Integrated Personnel Services
📍 Mumbai