Generative AI Engineer (LLM Expert – AWS Focus)

Job Title : Generative AI Engineer (LLM Expert – AWS Focus)

Location : Remote

Employment Type : Ongoing Contract

About BigRio

BigRio is a

Boston-based, remote-first technology consulting firm

specializing in

advanced data, cloud, and software engineering solutions . We partner with forward-thinking organizations to deliver

scalable, secure, and high-performance technologies , with deep expertise in

AI / ML, data engineering, and AWS-native architectures .

Our clients span

healthcare, life sciences, government, and enterprise sectors , and we’re known for tackling complex, high-impact challenges with

cutting-edge innovation and measurable results .

About the Role

We’re seeking a

hands-on Generative AI Engineer (LLM Expert)

who combines

strong AWS development experience (60%)

with

deep expertise in applied LLM engineering (40%) .

This role is ideal for an engineer who has

built real-world applications using OpenAI APIs and retrieval-augmented generation (RAG)

— not someone focused on traditional ML or model training. You’ll work with BigRio’s internal AI team and client partners to

design, build, and optimize LLM-powered features , integrating them into cloud-native, production-ready systems.

This is a

senior technical role , not a research or experimental position. The focus is on

building, shipping, and scaling LLM applications

using

OpenAI models, LangChain, and AWS infrastructure .

Key Responsibilities

Design, develop, and deploy AWS-based applications

(Lambda, API Gateway, ECS, RDS, S3, Secrets Manager) that integrate LLM-powered features.

Implement OpenAI-driven workflows , leveraging reasoning and non-reasoning models, temperature settings, and model versioning best practices.

Apply

prompt engineering and prompt chaining techniques

to improve LLM accuracy and performance for production workloads.

Build

retrieval-augmented generation (RAG)

pipelines using

LangChain ,

ChromaDB , or similar frameworks.

Develop

FastAPI or Flask-based backends

that connect to OpenAI APIs and vector databases.

Build

interactive front-ends

and tools using

Gradio

or Streamlit for rapid prototyping and testing.

Ensure

secure, containerized deployments

using

Docker

and integrate

SSO and role-based access controls .

Automate data pipelines and document workflows via

Google Drive ,

AWS SDKs , or

REST APIs .

Write

production-grade Python code , following clean architecture, documentation, and CI / CD best practices.

Collaborate closely with AI engineers, DevOps teams, and clients to deliver

enterprise-ready LLM applications .

Required Qualifications

5+ years of experience

in professional software development, with a strong focus on

AWS cloud and backend systems .

3+ years of direct experience

working with

OpenAI APIs, GPT models, and LLM application development .

Proven ability to

build and deploy LLM-powered applications , not just experiment with models.

Knowledge of

vector databases

like Pinecone or FAISS is required.

Expertise in

Python ,

FastAPI , and API-driven architecture.

Strong practical experience with

LangChain ,

ChromaDB ,

RAG , and

prompt engineering .

Proficiency in

Docker ,

AWS IAM , and secure deployment practices.

Excellent communication skills — ability to explain LLM behavior, tradeoffs, and reasoning clearly to both technical and non-technical teams.

Comfortable working

independently in a fast-paced, client-facing environment

across time zones.

Nice to Have

Experience with

LangGraph

or other LLM orchestration frameworks.

Familiarity with

MLOps , CI / CD pipelines, and observability for LLM workloads.

Exposure to

healthcare, biotech, or regulated data environments .

Demonstrated experience explaining and documenting AI system design and decision-making for non-AI stakeholders.

What This Role is Not

To set clear expectations, this is

not

a role focused on :

Classical machine learning or model training (e.g., TensorFlow, PyTorch-based model design).

Research, experimentation, or theoretical AI.

Low-code or no-code chatbot builders.

This is a

pure LLM engineering and AWS application development role

— building scalable, production-quality AI systems using OpenAI and related frameworks.

Equal Opportunity Statement :

BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.