AI Engineer

Everestek Technosoft Solutions; United States; Remote; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Remote work

Zusammenfassung

Everestek Technosoft Solutions is seeking an AI Engineer to design and deploy scalable AI solutions using Python, FastAPI, and cloud platforms. You will build LLM-powered applications, RAG pipelines, and AI microservices for insurance workflows such as underwriting, claims, and policy servicing.

You will work on integrating LLM APIs, embeddings, and retrieval systems, leveraging LangChain, vector databases, and production-grade observability and security practices.

Qualifikationen

• Proficient in Python with backend frameworks (FastAPI/Flask).
• Hands-on ML/DL with PyTorch or TensorFlow and Transformers.
• Experience integrating LLM APIs, embeddings, RAG, retrieval systems.
• Familiar with LangChain and AI orchestration.
• Experience with vector databases (Pinecone/Weaviate/FAISS).
• Deploying AI apps on AWS/Azure/GCP.
• Knowledge of model evaluation, observability, latency and reliability.
• Knowledge of secure AI, data privacy and auditable design.

Aufgaben

• Develop and deploy scalable AI solutions.
• Build LLM-powered applications, RAG pipelines and AI microservices.
• Address insurance processes like underwriting, claims and policy servicing.
• Implement secure, observable, and compliant AI systems.

Kenntnisse

Python

FastAPI

Flask

PyTorch

TensorFlow

Hugging Face Transformers

LangChain

AWS

Azure

GCP

Docker

Kubernetes

LLM APIs

Embeddings

RAG

Vector databases

CI/CD

Security & Compliance

Tools

Pinecone

Weaviate

FAISS

Jobbeschreibung

We are looking for an AI Engineer with experience in Python, FastAPI, and AWS to build and deploy scalable AI solutions. The role involves developing LLM-powered applications, RAG pipelines, and AI microservices for insurance processes such as underwriting, claims, and policy servicing.

Role & responsibilities:

• Strong proficiency in Python and backend frameworks such as FastAPI or Flask.


• Hands-on experience with machine learning and deep learning frameworks, including PyTorch, TensorFlow, and Hugging Face Transformers.


• Practical experience integrating LLM APIs, embeddings, RAG architectures, and retrieval systems.


• Familiarity with AI orchestration frameworks such as LangChain.


• Experience with vector databases and similarity search technologies such as Pinecone, Weaviate, or FAISS.


• Experience deploying and operating AI applications on AWS, Azure, or GCP.


• Understanding of model evaluation, observability, latency optimization, and production reliability.


• Knowledge of secure AI development practices, data privacy, and auditable system design

Preferred candidate profile :

• Experience building AI solutions for insurance, financial services, or other regulated industries.


• Familiarity with document intelligence, OCR, information extraction, and knowledge retrieval.


• Experience with LLM fine-tuning, evaluation pipelines, and model optimization.


• Knowledge of CI/CD, Docker, Kubernetes, and production monitoring.


• Understanding of SOC 2, HIPAA, or similar security and compliance frameworks.

This is a remote position with working hours aligned to international team operations and business requirements.