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AI Tech Lead

AI Tech Lead

Recro
8-10 Years
Not Disclosed
  • Posted 3 hours ago
  • Be among the first 10 applicants

Job Description

AI Tech Lead

5.Senior Technical Lead / Engineering Manager (AI Applications)

We are seeking a Senior Technical Lead / Engineering Manager to lead the

development of AI-powered applications that combine modern web technologies,

LLMs, vector search, and backend services. This role balances technical leadership,

architecture ownership, team development, and hands-on engineering. You will

guide a small, highly skilled team while driving delivery across frontend, backend,

data, and AI platforms.

Responsibilities

· Lead the technical direction, architecture, and execution of AI-enabled

products across frontend, backend, database, and AI layers.

Manage and mentor a team of software engineers, providing technical

guidance, coaching, and career development support.

Drive technical planning, sprint execution, and delivery of complex cross-

functional initiatives.

Establish engineering best practices for system design, code quality, reliability,

security, testing, and observability.

Guide the design and development of production-grade Python services and

APIs using FastAPI and PostgreSQL.

Oversee development of modern React applications and reusable UI

frameworks using TypeScript.

Lead the integration of LLMs, embedding models, vector databases, and

RAG-based architectures into production systems.

Facilitate architecture reviews, design discussions, technical decision-making,

and code review processes.

Partner with Product, UX, Data Science, Infrastructure, and business

stakeholders to translate business objectives into scalable technical solutions.

Identify technical risks, manage dependencies, and drive successful delivery

of strategic AI initiatives.

Contribute hands-on to critical architectural components and complex

technical challenges when needed.

Required Qualifications

· 8+ years of professional software engineering experience, including

technical leadership responsibilities.

2+ years of experience leading engineering teams, technical projects, or

large-scale software initiatives.

Strong Python expertise, including FastAPI, async programming, modern

typing practices, and scalable service design.

Strong PostgreSQL experience, including schema design, migrations,

performance tuning, and data architecture.

Strong React and TypeScript experience building and leading development of

production web applications.

Hands-on experience with:

o TanStack ecosystem

o React 19

o Vite

o shadcn/ui

o pnpm

Experience defining architecture and engineering standards for modern full-

stack applications.

Experience integrating OpenAI, Azure OpenAI, Anthropic, or similar LLM

platforms.

Strong understanding of embeddings, vector databases, RAG architectures,

prompt engineering, and AI application design patterns.

Experience establishing testing strategies, CI/CD practices, and quality

engineering standards.

Proven ability to lead distributed teams, align stakeholders, and drive

execution across multiple concurrent initiatives.

Strong communication and leadership skills with the ability to influence

technical direction and organizational outcomes.

Nice to Have

· Experience leading AI/ML product development teams.

Experience with LLM evaluation frameworks, golden datasets, model

monitoring, and AI testing strategies.

Familiarity with tokenization, caching, inference optimization, and LLM

infrastructure concepts.

Experience with dependency injection, repository patterns, domain-driven

design, and enterprise architecture practices.

Experience managing engineering roadmaps, resource planning, and

technical prioritization.

Experience in financial services, banking technology, or other highly regulated

enterprise environments.

Experience designing reusable enterprise platforms that support multiple AI

products and use cases.

Success Profile

The ideal candidate combines strong technical depth with leadership capability. They

can effectively lead engineers, make sound architectural decisions, collaborate with

stakeholders, and remain sufficiently hands-on to guide implementation of complex

More Info

Job Type:
Industry:
Employment Type:

Key Skills

embeddings

TanStack ecosystem

pnpm

vector databases

Anthropic

shadcn ui

Vite

Azure OpenAI

CI CD practices

OpenAI

RAG architectures

About Company

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