Lead AI / ML Engineer

Lead AI / ML Engineer - Associate Director / Director Level

Position Overview We are seeking a hands-on Lead AI / ML Engineer with strong software engineering expertise to rapidly build and deploy AI solutions. This role focuses on practical implementation and quick delivery of business value through intelligent integration of AWS ML services, LLMs, and modern AI tools. This hybrid position requires 75% hands-on development and 25% technical leadership, emphasizing speed to market and pragmatic engineering decisions.

Key Responsibilities

• Rapidly prototype and deploy AI solutions using pre-built AWS ML services and LLM APIs
• Build full-stack applications that integrate existing ML / LLM tools and services
• Focus on "time to value" - quick iterations, hypothesis testing, A / B experiments
• Orchestrate multiple AI services (Bedrock, SageMaker endpoints, third-party APIs)
• Develop proof-of-concepts in days / weeks using available tools and platforms
• Lead technical team through hands-on coding and architecture decisions
• Champion pragmatic "buy and integrate" approaches for faster delivery

Required Technical Skills

Programming Languages & Frameworks (Expert Level Required)

FastAPI, Django, Flask (expert proficiency)

Spring Boot, Spring Cloud, Spring Security

React, Next.js, Node.js, TypeScript

AI / ML Implementation (Applied Engineering Focus)

Implementation using OpenAI, Anthropic, Bedrock APIs

Comprehend, Textract, Personalize, Forecast

Rapid deployment using managed vector DB solutions

Using pre-trained models and managed endpoints

Combining multiple AI services for business solutions

A / B testing frameworks for AI features

Engineering Approach

MVP first, iterative improvement approach

Leveraging managed services and existing platforms

Build, measure, learn cycles

Connecting best-in-class tools and services

Microservices, event-driven architectures

Development & Architecture

Streamlit, Gradio for quick demonstrations

REST, GraphQL, webhooks, streaming

Lambda, API Gateway, Step Functions

Docker, Kubernetes for scalable deployments

AWS Platform (Production Focus)

Experience Requirements

launched multiple AI features in production

practical implementations with measurable impact

What You'll Work On

Ideal Candidate Profile A pragmatic engineer who excels at quickly translating business requirements into working AI solutions. Someone who understands that the best solution is often the one that ships fastest and delivers immediate value. You thrive in environments where rapid experimentation and iteration are valued over lengthy development cycles. Your strength lies in knowing when to use existing tools versus building custom solutions, always optimizing for business impact and speed to market.

Success Metrics