Risk Resources
Website:
riskresources.biz
Job details:
Company Overview
Risk Resources LLP is a specialized consulting firm focused on delivering advanced analytical solutions and risk management frameworks for global financial institutions and enterprise clients. Operating at the intersection of data science and strategic advisory, the firm empowers organizations to navigate complex regulatory landscapes and operational challenges through technology-driven insights. With a culture rooted in intellectual rigor and technical excellence, Risk Resources LLP maintains a lean, high-impact team that prioritizes precision and scalable innovation across its diverse service portfolio.
Role Overview
As a Python GenAI specialist, you will spearhead the design and deployment of sophisticated artificial intelligence solutions that transform how our clients process information and automate decision-making. You will work closely with cross-functional data engineering teams and senior stakeholders to translate complex business requirements into robust, production-grade LLM applications. By bridging the gap between experimental research and enterprise-scale implementation, your work will directly influence the efficiency of our clients' risk assessment models and internal knowledge management systems.
Key Responsibilities
- Architect and implement scalable Generative AI pipelines using Python to solve complex data retrieval and synthesis challenges for enterprise clients.
- Develop and optimize RAG (Retrieval-Augmented Generation) frameworks to ensure high-accuracy, context-aware outputs from large-scale proprietary datasets.
- Design advanced prompt engineering strategies to improve model performance and reliability across diverse business use cases.
- Integrate LangChain and related orchestration frameworks to build modular, maintainable AI agents that automate sophisticated workflows.
- Collaborate with internal stakeholders to refine model outputs, ensuring alignment with regulatory standards and business objectives.
- Monitor and fine-tune LLM performance in production environments to maintain low latency and high-quality response standards.
Required Skillset
- Demonstrated expertise in Python development with a strong focus on building data-intensive applications and AI-driven services.
- Proven ability to implement and scale LLM-based solutions, specifically leveraging LangChain and RAG architectures in production environments.
- Advanced proficiency in prompt engineering techniques to optimize model behavior and output quality for specific business domains.
- Strong analytical mindset with the ability to communicate complex technical concepts to non-technical stakeholders and clients.
- Minimum of 6 to 10 years of professional experience in software engineering or data science, with a focus on modern AI stacks.
- Excellent collaborative skills, with the ability to thrive in a hybrid work environment across our Mumbai, Bangalore, Hyderabad, Chennai, or Pune offices.
- A degree in Computer Science, Engineering, or a related quantitative field, reflecting a solid foundation in algorithms and system design.
(ref:hirist.tech)
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