[Remote] Staff AI/ML Full Stack Lead Engineer

Note: The job is a remote job and is open to candidates in USA. Satyam Venture Engineering Services is seeking a Staff AI/ML Full Stack Lead Engineer to lead the architecture, design, and delivery of high-performance, enterprise-grade applications. This role requires a combination of hands-on coding and high-level architectural decision-making, working across various layers to ensure secure and scalable systems while enabling long-term technical growth.

Responsibilities

• Architecture Leadership – Define system architecture, integration patterns, and technology standards for large-scale web and enterprise application
• 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 RUS
• 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 integration
• 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: Will be performing database selection and deployment (strong devops experience required)
• ML: Experience with both ML and LLM stack design (model hubs, vector DBs, embedding pipelines). The role required knowledge to deploy end-to-end architecture of ML applications, traditional and RAG applications, Design of the MLOPS architectures databricks, aws and google
• ML ops: Strong understanding of Agentic AI, framework, best practices
• Clouds: Databricks, AWS mandatory
• End to End production level AI/ML product deployment experience is required

Skills

• At least bachelor's in computer science 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
• The role required 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
• 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 ML-OPS, CI/CD for AI, and production model monitoring
• Strong understanding of software architecture patterns, distributed systems, and scalable data pipelines
• Databases: Will be performing database selection and deployment (strong devops experience required)
• 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

Company Overview