Job Description

  Day-to-Day Responsibilities​

• AI Solution Development:
• Design, develop, and deploy AI solutions to enhance enterprise productivity
• Work with a team of AI engineers, product developers and data engineer to deliver end-to-end AI projects, from concept to production.
• Collaborate with product, engineering, and business teams to identify opportunities for AI integration and innovation.
• LLMs, Gen AI & RAG Implementation:
• Utilize Large Language Models (Llama, DeepSeek, GPT, BERT, Claude, Gemini) and Generative AI for advanced NLP tasks, conversational AI, and automation.
• Develop Retrieval-Augmented Generation (RAG) systems to enhance knowledge management, customer support, and decision-making processes.
• Explore and implement state-of-the-art AI frameworks to address business challenges in payments.
• AI Infrastructure & Deployment:
• Oversee the design and management of scalable AI infrastructure, ensuring efficient resource utilization and performance optimization.
• Conduct capacity planning to support AI workloads, model training, and real-time inference at scale.
• Deploy AI models using Docker, Kubernetes, and cloud services (AWS, Azure, GCP).
• Optimize AI workloads using MLOps best practices (CI/CD, model versioning, monitoring, drift detection).
• Implement AI APIs and microservices for seamless integration into enterprise applications.
• Ensure AI infrastructure aligns with security, compliance, and regulatory requirements (PCI-DSS, GDPR).
• AI Agent Development & Automation:
• Develop and deploy AI agents for process automation, intelligent customer support, and proactive fraud monitoring.
• Utilize frameworks like LangChain and AI orchestration platforms to streamline agent development and deployment.
• Monitor, evaluate, and optimize AI agents for continuous improvement and operational excellence.
• Technology & Innovation:
• Stay updated with the latest advancements in AI, ML, NLP,LLM, Generative AI and agentic automation.
• Develop and deploy AI tools and platforms that enhance business processes.
• Experiment with low-rank adaptation (LoRA), quantization, and distillation to optimize model efficiency.
• Experiment with model fine-tuning. 
• Implement AI-powered chatbots, summarization, and text generation solutions.
• Implement anomaly detection, predictive and prescriptive analytics

Job Requirements

 We look for big thinkers. People who can drive positive change, innovate, step up and show what's next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:

• Qualifications & Skills:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 6+ years of experience in AI/ML solution development, with a focus on LLMs, Gen AI, and RAG.
• Proven track record in AI infrastructure management and capacity planning.
• Proficiency in AI tools and frameworks: TensorFlow, PyTorch, Hugging Face, LangChain, vector databases (Milvus, FAISS, Pinecone, Weaviate), Dify, RAGFlow.
• Experience in developing and deploying AI agents for automation and customer engagement.
• Experiment with model fine-tuning, Unsloth, SFT and ORPO
• Strong programming skills in Python, Java, or similar languages.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of regulatory and compliance standards in the payments industry (PCI-DSS, GDPR).

Skills