Software Development Lead - R01564464

Senior Software Development Engineer

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions, with a strong focus on Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have hands-on experience building scalable pipelines for unstructured data, optimizing semantic retrieval, and working with modern large language models (LLMs). This role requires collaboration with cross-functional teams to deliver high-impact, production-ready AI solutions.

Key Responsibilities:

• Design, develop, and deploy advanced AI/ML and RAG-based solutions.
• Build and maintain custom RAG systems leveraging internal data sources.
• Develop robust data pipelines for processing and managing unstructured content.
• Optimize semantic search and retrieval performance using embeddings and vector databases.
• Evaluate model performance using key quality metrics and continuously improve system accuracy.
• Collaborate with cross-functional teams to design and deploy agentic RAG solutions.
• Work with leading large language models (LLMs) and conduct experiments to enhance performance.
• Stay up to date with the latest advancements in AI/ML, NLP, and generative AI technologies.
• Develop and maintain RESTful APIs for AI services.

Required Technical

Skills:

• Programming:
  Strong proficiency in Python, including libraries such as Num Py and Pandas; solid SQL skills.
• Frameworks & Libraries:
  FastAPI, Uvicorn (ASGI Server), Pydantic, Pydantic-Settings, Lang Chain, Hugging Face Transformers.
• Machine Learning/NLP:
  Deep Learning, Natural Language Processing (NLP), text embeddings, semantic search, and model evaluation techniques.
• Vector Databases:
  Experience with pg Vector.
• Testing:
  Experience with pytest (v8.4.1 or similar).
• Deployment & Dev Ops:
  Docker, Open Shift, Jenkins (CI/CD pipelines).
• Tools & Practices:
  Git, RESTful API development, and version control best practices.

Preferred Qualifications:

• Experience working with agentic AI systems or autonomous workflows.
• Familiarity with scalable architecture for AI systems in production.
• Strong problem-solving skills and ability to work in a collaborative environment.

Soft Skills:

• Strong communication and teamwork skills.
• Ability to manage multiple priorities in a fast-paced environment.