About the Role :

We are looking for an experienced AI Engineer to design, develop, and deploy scalable AI-powered solutions that solve complex business problems.

The ideal candidate should have strong expertise in machine learning, Generative AI, Large Language Models (LLMs), and cloud-based AI platforms.

You will collaborate with cross-functional teams to build intelligent applications, optimize AI workflows, and drive innovation across products and business processes.

Key Responsibilities :

- Design, develop, and deploy AI/ML models for production environments.

- Build and optimize Generative AI applications using Large Language Models (LLMs).

- Develop Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.

- Fine-tune, evaluate, and optimize foundation models for domain-specific applications.

- Integrate AI solutions with enterprise applications using APIs and microservices.

- Work with vector databases, embeddings, and semantic search technologies.

- Develop scalable AI workflows using orchestration frameworks such as LangChain or LlamaIndex.

- Collaborate with product, engineering, and data teams to define AI-driven solutions.

- Ensure model performance, scalability, security, and governance in production.

- Stay updated with the latest advancements in AI, machine learning, and Generative AI technologies.

Required Skills :

- 8- 10 years of experience in AI/ML Engineering or Software Development with AI specialization.

- Strong programming experience in Python.

- Hands-on experience with Generative AI, Large Language Models (LLMs), and RAG architectures.

- Experience with AI frameworks such as LangChain, LlamaIndex, or similar.

- Proficiency in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.

- Experience working with vector databases such as Pinecone, Milvus, FAISS, or Weaviate.

- Strong understanding of prompt engineering, embeddings, model evaluation, and fine-tuning.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

- Knowledge of REST APIs, microservices architecture, Docker, and Kubernetes.

- Familiarity with MLOps practices, CI/CD pipelines, and model deployment.

- Excellent problem-solving, analytical, and communication skills.

Good to Have :

- Experience with multi-agent AI frameworks.

- Knowledge of AI governance, responsible AI, and model monitoring.

- Exposure to NLP, computer vision, or recommendation systems.

- Experience with distributed systems and scalable AI infrastructure.

- Certifications in AI, Machine Learning, or Cloud platforms.

Preferred Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

- Proven experience building and deploying enterprise-scale AI solutions.

- Strong understanding of software engineering best practices and Agile methodologies.

Why Join?

- Opportunity to work on cutting-edge AI and Generative AI projects.

- Exposure to enterprise-scale AI implementations.

- Collaborative and innovation-driven work environment.