AI Integration Engineer on AWS IRC265093

Description

Responsibilities
Build and integrate AI-powered features using third-party models (e.g., OpenAI, Cohere, Hugging Face, Google Cloud AI).
Design robust API integrations, pipelines, and workflows using LLMs or other foundation models.
Collaborate with product managers, designers, and backend/frontend teams to ship features like chatbots, summarizers, smart search, etc.
Handle AI prompt tuning, caching, rate limiting, and fallback mechanisms.
Monitor and optimize AI feature performance (latency, cost, token usage).
Ensure AI usage is safe, ethical, and aligns with business goals.
Keep up with the fast-moving AI landscape and make recommendations for tools and services.

 

Must-Have Skills
3+ years of software development experience (preferably in full-stack or backend roles).
Solid experience with Python, Node.js, or another backend language.
Familiarity with RESTful APIs, cloud platforms (AWS, GCP, Azure), and AI-as-a-service offerings.
Experience integrating with LLMs (e.g., OpenAI GPT APIs) or AI APIs (e.g., image, vision, speech).
Ability to write clean, maintainable, and scalable code.
Comfortable working in cross-functional teams in agile environments.
Nice-to-Have Skills
Experience with LangChain, RAG systems, or vector databases (e.g., Pinecone, Weaviate).
Familiarity with prompt engineering and chaining logic.
Exposure to frontend frameworks (React, Next.js) is a plus.
Understanding of LLM performance tuning and observability tools.
Prior work on AI agents, copilots, or workflow automation with AI tools.

 

Nice-to-Haves
Experience with LangChain, Semantic Kernel, or LLM orchestration frameworks.
Familiarity with vector databases (Pinecone, Weaviate, Amazon Kendra).
Exposure to frontend dev (React, Next.js) for building AI-first UIs.
Background in conversational UX or prompt design.
Understanding of AI safety, prompt injection, and red-teaming strategies.
What You’ll Get
Work with a team of AI-native builders — devs who ship fast with LLMs, not just talk about them.
Access to cutting-edge tooling: Cursor AI, Bedrock, Claude, GPT-4, and more.
Autonomy and support to explore, test, and launch new AI features.
An environment that values speed, creativity, and pragmatism.
Learning budget for conferences, courses, and AI tinkering.

Requirements

About the Role
We’re building the next generation of AI-native products — fast, smart, and deeply user-centric. As an AI Application Engineer, your mission is to bring intelligence into real-world apps. You won’t be building models from scratch — instead, you’ll work with cutting-edge tools like Cursor AI for AI-native dev workflows and AWS Bedrock for scalable, secure access to foundation models.

If you get excited about hacking together LLM workflows, building smart assistants, and crafting AI features users love (and trust), we want you on the team.

What You’ll Do
Design and build AI-powered product features using foundation models via AWS Bedrock (Anthropic, Cohere, Mistral, Amazon Titan, etc.).
Rapidly prototype and ship features using AI-native dev environments like Cursor AI.
Integrate LLMs and other AI APIs into real products — chat, summarization, intelligent search, document processing, and more.
Own the full lifecycle of AI features: from idea to prompt design to API integration to production rollout.
Build scalable, efficient, and observable AI workflows using best practices (prompt caching, rate limiting, retry logic).
Collaborate closely with designers, PMs, and full-stack engineers to co-design intuitive, AI-first experiences.
Track performance, reduce latency and costs, and improve user trust in AI responses.
Stay up to date on rapidly evolving AI APIs and dev tools — and bring your learnings back to the team.

 

Job responsibilities

Responsibilities
Build and integrate AI-powered features using third-party models (e.g., OpenAI, Cohere, Hugging Face, Google Cloud AI).
Design robust API integrations, pipelines, and workflows using LLMs or other foundation models.
Collaborate with product managers, designers, and backend/frontend teams to ship features like chatbots, summarizers, smart search, etc.
Handle AI prompt tuning, caching, rate limiting, and fallback mechanisms.
Monitor and optimize AI feature performance (latency, cost, token usage).
Ensure AI usage is safe, ethical, and aligns with business goals.
Keep up with the fast-moving AI landscape and make recommendations for tools and services.

 

Must-Have Skills
3+ years of software development experience (preferably in full-stack or backend roles).
Solid experience with Python, Node.js, or another backend language.
Familiarity with RESTful APIs, cloud platforms (AWS, GCP, Azure), and AI-as-a-service offerings.
Experience integrating with LLMs (e.g., OpenAI GPT APIs) or AI APIs (e.g., image, vision, speech).
Ability to write clean, maintainable, and scalable code.
Comfortable working in cross-functional teams in agile environments.
Nice-to-Have Skills
Experience with LangChain, RAG systems, or vector databases (e.g., Pinecone, Weaviate).
Familiarity with prompt engineering and chaining logic.
Exposure to frontend frameworks (React, Next.js) is a plus.
Understanding of LLM performance tuning and observability tools.
Prior work on AI agents, copilots, or workflow automation with AI tools.

 

Nice-to-Haves
Experience with LangChain, Semantic Kernel, or LLM orchestration frameworks.
Familiarity with vector databases (Pinecone, Weaviate, Amazon Kendra).
Exposure to frontend dev (React, Next.js) for building AI-first UIs.
Background in conversational UX or prompt design.
Understanding of AI safety, prompt injection, and red-teaming strategies.
What You’ll Get
Work with a team of AI-native builders — devs who ship fast with LLMs, not just talk about them.
Access to cutting-edge tooling: Cursor AI, Bedrock, Claude, GPT-4, and more.
Autonomy and support to explore, test, and launch new AI features.
An environment that values speed, creativity, and pragmatism.
Learning budget for conferences, courses, and AI tinkering.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.