Artificial Intelligence Engineer

We are seeking a Software Engineer with 5\+ years of experience to help design and build AI-driven automation solutions for internal customer engagement and onboarding into enterprise cryptographic services.

This role focuses on developing Python-based, cloud-native applications that leverage natural language processing, GenAI/LLMs, and agentic workflows to automate manual analysis, understand customer intent, and guide users to the appropriate cryptographic services.

The ideal candidate has hands-on experience with AWS, modern AI/ML architectures, and containerized microservices, and enjoys working on end-to-end systems spanning data ingestion, AI orchestration, and secure cloud infrastructure.

Key Responsibilities

• Design and develop

Python-based applications and services

to automate internal customer engagement and onboarding workflows.

• Implement

GenAI solutions

using LLMs, embeddings, vector databases, and

retrieval-augmented generation (RAG)

architectures.

• Build

NLP-enabled agents

that can understand natural-language requests and assist users in selecting the appropriate cryptographic services.

• Automate

manual analysis and triage processes

using AI/ML and rule-based logic.

• Develop and maintain

cloud-native microservices

using AWS services such as Lambda, ECS/EKS, S3, DynamoDB, API Gateway, and Bedrock.

• Build and manage

knowledge bases

, embedding pipelines, and contextual retrieval systems for accurate, reliable responses.

• Design

agentic workflows

and orchestration logic to support decision-making and process automation.

• Collaborate with product, data, and engineering teams to translate business and compliance requirements into technical solutions.
• Monitor, troubleshoot, and optimize production workloads for performance, reliability, and cost efficiency.

Required Skills \& Experience

• 5\+ years of professional experience

in software engineering, cloud engineering, or AI/ML development.

• Strong proficiency in Python (experience with FastAPI, Flask, or similar frameworks preferred).
• Hands-on experience with AWS cloud services, especially serverless and container-based architectures.
• Experience with Docker, GitHub, and CI/CD automation.
• Working knowledge of LLMs, prompt engineering, embeddings, and GenAI concepts.
• Experience building or contributing to RAG pipelines or search/knowledge-based AI systems.
• Familiarity with vector databases (e.g., Pinecone, FAISS, Redis, OpenSearch, or similar).
• Exposure to agentic frameworks (e.g., LangChain, LlamaIndex, or custom agent implementations).
• Understanding of API development, distributed systems, and cloud-native design patterns.
• Experience integrating with AWS Bedrock or other foundation model platforms.
• Exposure to security-focused or regulated environments (financial services, cryptography, compliance).
• Familiarity with infrastructure-as-code tools such as CloudFormation or CDK.
• Experience working on internal enterprise platforms rather than consumer applications.