Description

Design, develop, and optimize AI solutions using LLMs and generative models to solve complex business challenges.

This role is hybrid.

Responsibilities

• Design and implement scalable APIs and AI pipelines using Python, PyTorch, or TensorFlow.
• Optimize SDLC workflows for development and QA to improve productivity and delivery velocity.
• Engineer effective prompts and optimization strategies to maximize model accuracy and relevance.
• Integrate proprietary AI platforms with external data sources to deliver custom MCP agents.
• Monitor and evaluate model performance, ensuring robustness, fairness, and responsible AI standards.

Required Skills

• Strong proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face Transformers).
• 5+ years of experience in software engineering or AI/ML roles.
• Solid understanding of LLM architectures, training paradigms, and prompt engineering techniques.
• Hands-on experience designing scalable APIs and AI pipelines.
• Familiarity with cloud platforms (AWS preferred, Azure or GCP).
• Experience working with Docker and Kubernetes.
• Good understanding of the Software Development Life Cycle.
• Professional level of English and effective communication skills.

Preferred Skills

• Strong proficiency in Java, including hands-on experience building MCP agents.
• Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Familiarity with vector databases (OpenSearch, Pinecone) and RAG architectures.

Key Skills

Education

Any Gradute