Description

You will design, develop, and optimize AI solutions leveraging LLMs and generative models to address complex business challenges. Your work will span SDLC workflow optimization, prompt engineering, and the integration of in-house AI platforms with external systems.

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