Principal Consultant, Generative AI – Full Stack Developer

Inviting applications for the role of Principal Consultant, Generative AI - Full Stack Developer!

In this role, we are seeking a seasoned Full-Stack Developer with strong hands-on experience in cloud-native environments (Azure / AWS) and container orchestration (Kubernetes / Docker), proficient in Python (FastAPI) and modern front-end frameworks (React / Next.js). The ideal candidate will have designed and implemented scalable backend infrastructures, REST/async APIs, database and caching layers, CI/CD pipelines, and infrastructure-as-code, and must bring recent experience in building agentic AI or generative AI platforms - including multi-agent orchestration, vector databases (e.g. Pinecone, FAISS), RAG/semantic-search pipelines, prompt engineering, LLM function-calling, and secure production deployment. Excellent communication skills, cloud architecture understanding, and prior end-to-end delivery of AI-driven applications in enterprise or startup contexts are required.

Responsibilities

• Architect and implement advanced generative AI models, focusing on applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation.

• Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team.

• Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives. Firm grasp on tools to compare outputs of each model and compare against each other.

• Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency.

• Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives.

• Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements.

Qualifications we seek in you!

Minimum Qualifications

• Bachelor's or Master's degree in computer science, AI, Machine Learning, Data Science, or a related field, with relevant years of experience in AI/ML, particularly with generative AI models.

• Strong expertise in developing and deploying generative AI models.

• Proficient in Python (FastAPI) and modern front-end frameworks (React / Next.js).

• Experience with AI development libraries such as TensorFlow and PyTorch. Experience with Azure OpenAI, Open Source LLMs, and LangChain.

• Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models.

• Designed and implemented scalable backend infrastructures, REST/async APIs, database and caching layers, CI/CD pipelines, and infrastructure-as-code, and must bring recent experience in building agentic AI or generative AI platforms - including multi-agent orchestration, vector databases (e.g. Pinecone, FAISS), RAG/semantic-search pipelines, prompt engineering, LLM function-calling, and secure production deployment.

• Excellent communication skills, cloud architecture understanding, and prior end-to-end delivery of AI-driven applications in enterprise or startup contexts are required.

Preferred Qualifications/ Skills

• Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning.

• Familiarity with NLP or computer vision related to generative AI applications.