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Job Description
About the Role
Tristone is embedding agentic AI directly into its workflows and systems. We have onboarded a team of AI Engineers building out our agentic platform and are now looking for a Senior AI Engineer to lead and mentor this team.
You will own the technical direction of our agentic AI engineering practice—architecting agents, MCP servers, retrieval systems, and evaluation loops that make AI-generated work reliable, auditable, and fast to ship.
You will work closely with the Managing Director and senior stakeholders to translate business priorities into a coherent technical roadmap, while providing hands-on guidance to the AI Engineers on your team.
Key ResponsibilitiesTeam Leadership and Technical Direction
Lead, mentor, and manage a team of AI Engineers—setting technical direction, reviewing architecture and code, and supporting their day-to-day growth.
Act as the primary point of technical escalation for the AI engineering function, liaising with the MD and cross-functional stakeholders on priorities, timelines, and risk.
Lead, mentor, and manage a team of AI Engineers—setting technical direction, reviewing architecture and code, and supporting their day-to-day growth.
Act as the primary point of technical escalation for the AI engineering function, liaising with the MD and cross-functional stakeholders on priorities, timelines, and risk.
Agentic AI Platform Architecture
Drive the architecture of the agentic AI platform end to end, spanning agents, MCP servers, and supporting services that propose and apply changes across large codebases and financial workflows.
Define best practices around concurrency, telemetry, configuration hygiene, prompt versioning, and performance-sensitive code paths, so AI outputs remain reliable and idiomatic.
Drive the architecture of the agentic AI platform end to end, spanning agents, MCP servers, and supporting services that propose and apply changes across large codebases and financial workflows.
Define best practices around concurrency, telemetry, configuration hygiene, prompt versioning, and performance-sensitive code paths, so AI outputs remain reliable and idiomatic.
Retrieval Systems and AI Engineering
Design and oversee retrieval systems (RAG, vector search, hybrid approaches) that give AI agents and developers accurate, up-to-date context from large codebases, financial documents, and design artifacts.
Design and oversee retrieval systems (RAG, vector search, hybrid approaches) that give AI agents and developers accurate, up-to-date context from large codebases, financial documents, and design artifacts.
Evaluation and Quality Assurance
Build and refine compile, test, and evaluation pipelines, covering static analysis, style and safety checks, performance gates, and code review, to consistently measure and raise the quality of AI-generated changes.
Drive experiments and evaluation frameworks to continuously improve AI-driven workflows across the team.
Build and refine compile, test, and evaluation pipelines, covering static analysis, style and safety checks, performance gates, and code review, to consistently measure and raise the quality of AI-generated changes.
Drive experiments and evaluation frameworks to continuously improve AI-driven workflows across the team.
Compliance and Information Security
Comply with IT policies and procedures.
Maintain security of information at all times.
RequirementsComply with IT policies and procedures.
Maintain security of information at all times.
Engineering Experience
3+ years of overall engineering experience, including demonstrable experience building and shipping AI/LLM-powered systems.
Strong proficiency in Python (Java a plus), with hands-on experience in production-grade software systems.
3+ years of overall engineering experience, including demonstrable experience building and shipping AI/LLM-powered systems.
Strong proficiency in Python (Java a plus), with hands-on experience in production-grade software systems.
Leadership Experience
Prior experience leading, mentoring, or managing engineers, or clear readiness to step into a team-lead role.
Prior experience leading, mentoring, or managing engineers, or clear readiness to step into a team-lead role.
Agentic AI and Multi-Agent Systems
Proven experience with agentic AI frameworks and patterns (LangChain, LangGraph, AutoGen, CrewAI, or similar) and multi-agent orchestration.
Experience with MCP (Model Context Protocol) servers or comparable tool/agent-integration architectures.
Proven experience with agentic AI frameworks and patterns (LangChain, LangGraph, AutoGen, CrewAI, or similar) and multi-agent orchestration.
Experience with MCP (Model Context Protocol) servers or comparable tool/agent-integration architectures.
Retrieval Systems
Practical experience with retrieval systems—vector search, embeddings, RAG pipelines, or hybrid retrieval approaches.
Practical experience with retrieval systems—vector search, embeddings, RAG pipelines, or hybrid retrieval approaches.
Communication and Stakeholder Management
Strong communication skills, with the ability to translate technical decisions for non-technical stakeholders and senior leadership.
Strong communication skills, with the ability to translate technical decisions for non-technical stakeholders and senior leadership.
Work Environment
Comfort operating in a fast-paced, high-trust environment handling sensitive financial data.
Strongly Preferred SkillsComfort operating in a fast-paced, high-trust environment handling sensitive financial data.
Experience in fintech, financial services, or investment/deal-related domains (M&A, private equity, IPO due diligence, or similar).
Familiarity with compiler/static analysis tools or large-scale refactoring systems.
Experience fine-tuning or customizing open-weight models.
Knowledge of model-serving infrastructure and evaluation/observability tooling for LLM systems.
Exposure to security-conscious deployment practices (OWASP LLM Top 10, API hardening, audit logging).
Educational QualificationExperience in fintech, financial services, or investment/deal-related domains (M&A, private equity, IPO due diligence, or similar).
Familiarity with compiler/static analysis tools or large-scale refactoring systems.
Experience fine-tuning or customizing open-weight models.
Knowledge of model-serving infrastructure and evaluation/observability tooling for LLM systems.
Exposure to security-conscious deployment practices (OWASP LLM Top 10, API hardening, audit logging).
Bachelor’s or Master’s in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems).
Diversity and InclusionBachelor’s or Master’s in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems).
Tristone Strategic Partners LLP is committed to building a diverse, equitable and truly inclusive organization. It actively encourages diversity and inclusion, while opposing all forms of unlawful and unfair discrimination on the grounds of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation.
Skills
PythonLangChainAutoGenCrewAILLM Application DevelopmentRAG And Vector SearchMCP (Model Context Protocol) ServersMulti-Agent OrchestrationTeam Leadership And MentoringProduction-Grade Software EngineeringIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
We operate as a seamless extension of clients’ investment and finance teams, delivering research & analysis, financial modeling, due diligence, valuation, accounting, investor marketing collateral, and transaction support through dedicated, high-performance teams and consistent points of contact. Our clients achieve the highest quality outcomes with faster turnaround for their most critical priorities, while scaling flexibly with us.
The 120+ person Tristone team has supported over 125 clients in 10+ countries who have collectively managed over $100B in AUM across a range of asset classes and investment activities. Our client list comprises:
• Investment funds, including private equity, venture capital, private credit, debt, and hedge funds
• Investment advisors, including family offices, financial advisors, and wealth managers
• Investment banks and other financial advisors
• Corporates
At Tristone, we particularly emphasize hiring quality talent, training them with a depth and rigor that few firms can match, and cultivating a culture in which they achieve personal and professional growth through a mix of challenge and support.
By combining the judgment of trained and experienced professionals with the speed, flexibility, and scale of a modern, globally available delivery model, Tristone helps firms and their leaders reclaim their time, sharpen their edge, and scale their impact. Whether it’s preparing an investment memo, conducting fund manager due diligence, building a financial model, benchmarking a portfolio’s performance, or other deliverables critical to an investment decision, our deal teams deliver with precision, speed, and reliability, allowing our clients to focus on what they do best.
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