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 strong 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

- Strong 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

.

- Solid 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