Lead Ai Engineer

Requirements

• · 4+ years of overall engineering experience, including demonstrable experience building and shipping AI/LLM-powered systems.
• · Prior experience leading, mentoring, or managing engineers, or clear readiness to step into a team-lead role.
• · Strong proficiency in Python (Java a plus), with hands-on experience in production-grade software systems.
• · Proven experience with agentic AI frameworks and patterns (LangChain, LangGraph, AutoGen, CrewAI, or similar) and multi-agent orchestration.
• · Practical experience with retrieval systems - vector search, embeddings, RAG pipelines, or hybrid retrieval approaches.
• · Experience with MCP (Model Context Protocol) servers or comparable tool/agent-integration architectures.
• · Strong communication skills, with the ability to translate technical decisions for non-technical stakeholders and senior leadership.
• · Comfort operating in a fast-paced, high-trust environment handling sensitive financial data.
• Strongly preferred-
• · 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).
• Qualification-
• Bachelor’s or Master’s in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)