InDepth Engineering Solutions, LLC - Cloud Fullstack Developer - remote job for Non US candidates

Full Stack Developer is needed in Normal, United States.

Client: InDepth Engineering Solutions, LLC

Location: Normal, IL, us

Contract: Freelance

Job Description

This is a remote position. We are seeking a Staff AI/ML solution lead to lead the architecture, design, and delivery of high-performance, enterprise-grade applications. This role combines deep hands-on coding with high-level architectural decision-making. You will work across frontend, backend, cloud infrastructure, database selection and integration layers, ensuring our systems are secure, scalable, and maintainable while enabling long-term technical growth. This hybrid role combines hands-on software engineering, DevOps, and architectural leadership, enabling the delivery of robust, scalable, and innovative AI systems.

Key Responsibilities

• Architecture Leadership – Define system architecture, integration patterns, and technology standards for large-scale web and enterprise applications.
• Full Stack Development – Build and maintain robust, responsive applications using modern frontend frameworks (React, Vue, Streamlit, or Angular) and backend services in Python, Golang, or RUST.
• Cloud & Infrastructure – Architect cloud-native solutions leveraging AWS with a focus on scalability, security, and performance. Implement containerized services with Docker and orchestrate deployments using Kubernetes (K8s).
• API & Service Design – Develop RESTful and GraphQL APIs for internal and external integrations.
• DevOps & CI/CD – Establish best practices for deployment pipelines, automated testing, and infrastructure-as-code (Terraform, Pulumi).
• Performance Optimization – Drive system performance tuning, load balancing, and efficient code design.
• Technical Mentorship – Coach and mentor engineers, conduct design/code reviews, and uphold engineering best practices.
• Cross-Functional Collaboration – Partner with product, design, and business teams to deliver impactful solutions aligned with company objectives.
• Databases – Perform database selection and deployment (strong DevOps experience required).
• ML – Experience with ML and LLM stack design (model hubs, vector DBs, embedding pipelines); knowledge to deploy end-to-end architecture of ML applications, traditional and RAG applications; design MLOPS architectures Databricks, AWS, and Google.
• End to End production level AI/ML product deployment experience is required.

Requirements

• At least a bachelor’s degree in Computer Science is mandatory.
• 10+ years in deployment enterprise-grade cloud-level experience and 5+ years in software development.
• 5+ years of experience with Databricks and AWS MLOps deployment.
• This role is more of a software lead and developer with strong Cloud experience to develop infra software.
• Architect end-to-end agentic pipelines and tools for others to contribute in the team.
• Knowledge to deploy end-to-end architecture of ML applications, traditional and RAG applications.
• Architect end-to-end AI/ML systems from data ingestion to model deployment.
• Define best practices for model serving, data pipelines, and ML-OPS strategies.
• Experience in engineering, including hands-on model development and architectural design.
• Expertise in traditional ML, deep learning, LLMs, embeddings, and RAG frameworks.
• Strong software engineering skills: Python, API development, microservices, database design, and version control (Git).
• Experience with cloud platforms (AWS, Databricks, Google) and containerized deployments (Docker, Kubernetes).
• Knowledge of MLOPS, CI/CD for AI, and production model monitoring.
• Strong understanding of software architecture patterns, distributed systems, and scalable data pipelines.
• Will perform database selection and deployment (strong DevOps experience required).

Preferred Qualifications

• Experience with event-driven architectures and messaging systems (NATS, Kafka, RabbitMQ).
• Familiarity with authentication and authorization frameworks (OAuth2, JWT, SSO).
• Knowledge of observability and monitoring tools (Prometheus, Grafana, OpenTelemetry).
• Background in designing large-scale enterprise or SaaS platforms.
• Python, Golang, and Rust development experience is preferred.
• Experience in manufacturing and predictive maintenance is a plus.
• Background in controls engineering is a plus.

Soft Skills

• Strong decision-making and problem-solving skills in high-stakes technical environments.
• Ability to lead and influence architectural direction across teams.
• Excellent communication skills with both technical and non-technical stakeholders.