AI / ML Python Engineer at Moniepoint Inc.

About the Role

• Engineering at Moniepoint is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc. 
• We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience. 
• We are looking for a highly skilled AI Python Engineer with deep expertise in large language models (LLMs), prompt engineering, and applied AI development.
• You will design and deploy production-grade AI solutions, integrate language models into core systems, and contribute to the evolution of Moniepoint’s AI-driven products.

Responsibilities
What You'll Be Doing:

• Design, develop, and deploy AI-driven applications using Python and modern frameworks.
• Craft, refine, and test prompts and multi-step prompt chains for optimal LLM performance across various business contexts.
• Integrate and orchestrate LLM APIs (OpenAI, Anthropic, Gemini, HuggingFace, etc.) and open-source models (LLaMA, Mistral, etc.).
• Fine-tune and optimize models for domain-specific use cases.
• Build evaluation frameworks to measure model accuracy, prompt effectiveness, and output quality.
• Work closely with product managers and domain experts to translate business needs into robust AI-driven solutions.
• Develop scalable APIs, pipelines, and microservices that integrate AI models into Moniepoint’s backend systems.
• Ensure scalability, security, and reliability of AI systems in production environments.
• Research and experiment with cutting-edge techniques in embeddings, RAG (retrieval-augmented generation), and generative AI deployment.

Requirements
What We're Looking For:

• BS/MS in Computer Science, Engineering, or a related technical field.
• 5+ years of professional experience as a Python Developer, preferably in AI/ML-focused roles.
• Proven hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, or HuggingFace.
• Strong skills in prompt engineering (system prompts, few-shot, zero-shot, and chain-of-thought techniques).
• Experience with LangChain, LangGraph, LlamaIndex, Ollama, or similar orchestration frameworks.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS, Redis, PgVector, etc.) and embeddings.
• Good understanding of NLP fundamentals, machine learning workflows, and fine-tuning techniques.
• Experience building APIs and integrating AI into production systems.
• Knowledge of cloud environments (AWS, GCP, Azure) and containerized deployment (Docker, Kubernetes).
• Strong problem-solving skills, with an emphasis on experimentation, iteration, and data-driven decision making.
• Strong debugging skills and a methodical approach to problem-solving.
• Excellent communication skills and a team-first attitude.