Machine Learning Engineer - LLM/RAG (5-9 yrs)

Job Title : ML Engineer

Experience : 5+ years

Location : Remote

Duration- 6 Months Contract

Mandatory Skills :

ML models, , Agentic Design Patterns (ReAct, ReWoo), LLMCompiler, LLM as Judge, Multimodal RAG system, GraphRAG, AI/ML development, Python, LLM models, ML frameworks (TensorFlow, PyTorch, etc.)

Job Summary :

We are looking for a highly skilled ML Engineer with expertise in agentic design patterns, multi-modal RAG systems, and AI-powered product development. The ideal candidate will work on cutting-edge AI applications and optimize AI models for real-world use cases.

Responsibilities :

- Design and implement Agentic Design Patterns (ReAct, ReWoo) for adaptable AI systems.

- Use LLMCompiler to create efficient models and apply LLM as Judge for decision-making.

- Develop and optimize Multi-modal RAG systems for advanced retrieval-augmented generation.

- Implement and maintain GraphRAG solutions for enhanced reasoning and information retrieval.

- Collaborate with cross-functional teams to translate AI research into production-ready solutions.

- Contribute to the development of scalable and robust AI-powered products.

Requirements :

- Strong knowledge of Agentic Design Patterns (ReAct, ReWoo).

- Proficiency in LLMCompiler and LLM as Judge methodologies.

- Experience building Multi-modal RAG and GraphRAG systems.

- 5+ years of experience in AI/ML development, including product development.

- Expertise in Python, ML frameworks (TensorFlow, PyTorch), and LLMs.

- Strong problem-solving and analytical skills with a focus on innovation.

Preferred Skills :

- Familiarity with distributed systems and cloud platforms.

- Experience in data engineering and model optimization.

- Knowledge of graph databases and advanced information retrieval techniques.