Artificial Intelligence Engineer

A. Company Overview

Occams Advisory

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 AI Software Engineer 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 APIs—whose 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-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 LLM frameworks such as OpenAI 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:

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

Experience:

• 2+ years of experience with OpenAI, Gemini, Lambda, Llama, Langchain integration into business uses cases.

Essential Technical Skills:

• Proficiency in

  node.js

  and experience with AI frameworks such as

  TensorFlow, PyTorch, and LangChain

  .

• Expertise in

  LLMs, transformers, embeddings, and generative AI

  .
• Strong understanding of

  AI model optimization, fine-tuning, and deployment

  .
• Experience with

  API development and integrating AI models into production environments

  .
• Knowledge of

  cloud platforms

  such as OpenAI, AWS, Azure, or Google Cloud for AI deployment.
• Ability to

  process and work with large datasets

  for AI training and development.

Preferred Skills:

• Experience with

  OpenAI’s GPT models

  and similar architectures.
• Strong problem-solving skills and ability to collaborate with cross-functional teams.

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:

  Sr. Software Engineer (AI)

• Annual Compensation:

  12 – 13 LPA

• Work Schedule:

  Office

• Nature:

  Full time

• Shift:

  3:00 PM to 12:00 AM IST

• Location:

  Delhi, India/ Dehradun, Uttarakhand