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We are seeking developers who will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SME’s and understand the business requirements for prompt engineering and proper python code development. Experience with Open AI and different LLM models, conduct testing and performance evaluation is required. Good candidate should be familiar with ongoing monitoring.
Job Responsibility:
Contribute to the development and maintenance of Python-based AI libraries
Provide ongoing support, enhancements, and troubleshooting for existing libraries
Participate in prompt engineering, crafting, refining, and optimizing prompts for various LLM use cases
Continuously update prompts based on new LLM versions, capabilities, and model improvements
Conduct regular testing, debugging, and performance analysis of GenAI and ML solutions
Execute prompt benchmarking experiments and model evaluation
Collaborate with cross-functional stakeholders, clients, and SMEs to gather requirements and translate them into AI-driven solutions
Support ongoing monitoring, quality checks, and model governance best practices
Requirements:
Excellent prompt engineering capabilities with hands-on experience in LLM-based applications
Bachelor’s degree in Computer Science or a related field
5+ years of professional experience in software development or AI/ML engineering
Strong proficiency in Python development and building production-grade applications
Experience working in Agile development environments
Strong analytical thinking, debugging skills, and problem‑solving mindset
Excellent communication skills with the ability to work across teams and client stakeholders
Familiarity with OpenAI models and other LLM providers (Hugging Face, Anthropic, Azure OpenAI, etc.)
Nice to have:
Experience working with machine learning pipelines, vector databases, and embedding-based search
Cloud application development experience, preferably on Microsoft Azure (Azure OpenAI, Azure ML, Azure Functions, etc.)
Prior experience in FinTech or financial services domain
Experience working in global delivery teams or distributed environments
Understanding of MLOps, monitoring frameworks, and model lifecycle management