Collaborate with business stakeholders to identify, prioritize, and scope high-impact AI use cases, including buy-vs-build assessments
Design and deliver AI products end-to-end, from problem definition through prototype, pilot, and production handover
Build AI-powered solutions including data pipelines, RAG and retrieval systems, and reasoning workflows, hardened for enterprise production environments
Deploy, serve, and operate open-source models, and fine-tune them for domain-specific use cases where they outperform or complement vendor offerings
Integrate with vendor AI platforms and internal AI solutions, reusing existing capabilities where possible
Instrument solutions to track adoption, quality, business value, ROI, cost, and risk
Partner with technology teams to ensure solutions are secure, compliant, auditable, and maintainable
Run rapid evaluation cycles and contribute reusable components, patterns, and tools for wider adoption

Bachelor's or master's degree in Data Science, Computer Science, AI/ML, Software Engineering, Quantitative Finance, or a related field
2-6 years of software engineering experience, including financial services exposure and strong understanding of markets
2-6 years delivering ML/AI solutions to production, including end-to-end delivery of LLM-enabled applications (from prototyping to deployment and monitoring)
Hands-on experience building and operating RAG applications in production within enterprise-ready environments — including security, access control, observability, evaluation, and cost governance
Practical experience deploying open-source models to production
Demonstrated experience fine-tuning open-source models (e.g., LoRA/PEFT, instruction tuning, dataset curation, and evaluation of fine-tuned checkpoints against baselines)
Strong Python skills and proven ability to design and build maintainable, high-quality software in enterprise environments
Working knowledge of the software development lifecycle (SDLC), version control, and modern DevOps practices
Demonstrated ability to translate ambiguous business needs into clear scopes, roadmaps, and measurable success metrics

Competitive compensation with performance-based bonuses under competitive compensation along with daily lunch allowance
Global professional environment with international exposure, collaborative culture, and opportunities to learn the business from industry leaders and seasoned professionals
Premium facilities including state-of-the-art building, diverse on-site dining options, and complimentary gym access with fitness classes
Community engagement through office events, team activities, and volunteer opportunities to connect with local communities
Comprehensive career development through challenging opportunities, hands-on training, dedicated mentorship programs, and our PG Academy learning platform for continuous growth
Sabbatical program: one month off after every five years of service to recharge and explore

Junior Solution Engineer

Key skills