About the job
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. 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. 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 : • 3+ 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 open source 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.
Requirements
- AI solutions
- LLM frameworks
- API development
- Cloud architecture
- Data security
Qualifications
- Bachelor's degree
- Master's degree
Preferred Technologies
- AI solutions
- LLM frameworks
- API development
- Cloud architecture
- Data security
Benefits
- Health Insurance
- Provident Fund
- Learning Opportunities
- Market Leading Leave Policy
- Paid Holidays
- Employee Recognition & Rewards
About the company
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, and 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.
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