Lead AI Software Engineer

A. Company Overview

Founded in 2012, Occams Advisory is a leading business solutions, professional services and financial advisory provider specializing in growth, financing, and taxation. Serving as a trusted advisor throughout the business lifecycle, Occams combines Fortune 500 expertise, entrepreneurial insights, and a global perspective to deliver world-class solutions. Occams has achieved remarkable recognition for its rapid growth, securing 8 spots on Inc. magazine’s Fastest Growing 5000 Private Companies list, 4 consecutive rankings on the Financial Times Fastest Growing 500 Companies in the Americas. In 2023, Occams was honored on Fortune’s inaugural list of the 300 Most Innovative Companies.

Operating across all U.S. states and territories, Occams boasts a team of over 100 professionals based in major cities worldwide, including New York, Los Angeles, Toronto, Delhi and Mumbai. Its leadership includes alumni from Fortune 500 companies such as Barclays, UBS, and Merrill Lynch, and prestigious academic institutions like NYU, Duke University, and London Business School. Recognized as a leader in professional services, Occams delivers transformative growth and advisory solutions to clients.

B. About Your Role

We are looking for a Lead AI Software Engineer to join our AI Initiatives. In this role, you will drive the development of AI-powered solutions, generative AI, and AI business solutions to create impactful applications.

This position is for someone who lives and breathes AI, LLMs, and APIs—whose language is defined by models, embeddings, and RAG. It demands an AI specialist who has been immersed in AI from its inception, deeply understands its evolution, and is always at the cutting edge of LLMs, AI Business use cases, and generative models.

You will be responsible for end-to-end AI model execution, from setting up open source LLMs, training, optimization, and evaluation. You will be leading and responsible that our AI-driven solutions are not just innovative but also scalable and impactful. If your thought process revolves around model testing, prompt engineering, parameter tuning, and the evolution of AI architectures, you might be the perfect fit.

The ideal candidate is proactive, analytical, and detail-oriented—someone who takes initiative, embraces challenges, and is eager to contribute to a culture of excellence and impact.

C. Key Responsibilities

• Develop LLM-Powered Business Solutions : Design, build, and deploy robust applications that leverage open source LLM frameworks such as Llama and Langchain to address business-specific use cases.
• Implement Retrieval-Augmented Generation (RAG) Pipelines : Develop and maintain scalable RAG systems—including integration with vector databases (e.g., Qdrant) and memory modules—to improve the accuracy and relevance of responses.
• Advanced Prompt Engineering : Apply advanced prompt engineering techniques to optimize user interactions and generate precise responses, ensuring that the application meets business needs.
• API and Microservices Development : Create and secure RESTful APIs and microservices for seamless integration of LLM functionalities into existing systems, with a focus on data security and compliance.
• Cloud Architecture Integration : Work with cloud services (e.g., AWS Lambda, S3, CloudFormation) to ensure the LLM applications are highly scalable, resilient, and cost-effective.
• Collaboration with Cross-Functional Teams : Partner with product managers, designers, and other stakeholders to translate business requirements into technical solutions, iteratively refining applications based on feedback.
• Performance Optimization and Quality Assurance : Monitor, troubleshoot, and continuously optimize applications for performance, ensuring high-quality, business-aligned outputs and maintaining rigorous guardrails.

D. Required Qualifications & Experience

Education :

Experience :

Essential Technical Skills :

Preferred Skills :

E. Benefits & Perks

F. Job Details