Artificial Intelligence 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. magazines 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 Fortunes 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 Software Engineer (AI) to join our AI Initiative. 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 APIswhose language is defined by tokens, embeddings, and temperature settings. 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 conceptualization and training to optimization and deployment, ensuring that our AI-driven solutions are not just innovative but also scalable and impactful. If your thought process revolves around prompt engineering, parameter tuning, and the evolution of AI architectures, you might be the perfect fit.

The ideal candidate is proactive, analytical, and detail-orientedsomeone 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 LLM frameworks such as OpenAI and Langchain to address business-specific use cases.
• Implement Retrieval-Augmented Generation (RAG) Pipelines: Develop and maintain scalable RAG systemsincluding integration with vector databases (e.g., Qdrant) and memory modulesto 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.
• 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:

• Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field; relevant certifications are a plus.

Experience:

• Fresher or up to 1 year of experience with familiarity in OpenAI, Gemini, Lambda, LLaMA, and LangChain, gained through academic projects, internships, personal learning, and smallscale use cases.
• Understanding of how these tools can be integrated into business scenarios, with eagerness to apply knowledge in real-world environments.

Essential Technical Skills:

• Basic proficiency in Node.js or Python and exposure to AI frameworks such as TensorFlow, PyTorch, and LangChain.
• Foundational knowledge of LLMs, transformers, embeddings, and generative AI concepts.
• Awareness of techniques for AI model optimization, fine-tuning, and deployment, with interest in gaining practical experience.
• Exposure to API development and understanding of how AI models can be integrated into production workflows.
• Knowledge of cloud platforms (AWS, Azure, Google Cloud) for AI deployment, with academic or self-learning exposure.
• Ability to process and work with datasets for AI training and development, with experience gained through coursework, projects, or Kaggle challenges.

Preferred Skills:

• Experience with OpenAIs GPT models and similar architectures.
• Strong problem-solving skills and ability to collaborate with cross-functional teams.
• Previous internship experience in AI/ML, Data Science, or software development

E. Benefits & Perks

• Health Insurance for you and your dependents including parents
• Provident Fund
• 3 % Fixed CTC Budget for Learning Opportunities
• Market Leading Leave Policy
• Paid Holidays per Calendar Year
• Employee Recognition & Rewards
• One of the best cultures of benevolent meritocracy

F. Job Details

• Title: Software Engineer (AI)
• Work Schedule: Office
• Nature: Full time
• Shift: 3:00 PM to 12:00 AM IST
• Location: Dehradun, Uttarakhand