[Remote] Staff AI/ML Full Stack Lead Engineer

Remote Full-time
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.ResponsibilitiesArchitecture Leadership – Define system architecture, integration patterns, and technology standards for large-scale web and enterprise applicationFull Stack Development – Build and maintain robust, responsive applications using modern frontend frameworks (React, Vue, streamlit or Angular) and backend services in Python, Golang or RUSCloud & 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 integrationDevOps & 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 designTechnical Mentorship – Coach and mentor engineers, conduct design/code reviews, and uphold engineering best practicesCross-Functional Collaboration – Partner with product, design, and business teams to deliver impactful solutions aligned with company objectivesDatabases: 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 googleML ops: Strong understanding of Agentic AI, framework, best practicesClouds: Databricks, AWS mandatoryEnd to End production level AI/ML product deployment experience is requiredSkillsAt least bachelor's in computer science mandatory10+ years in deployment enterprise grade cloud level experience and 5+ years in software development5+ years of experience with Databricks and AWS MLops deploymentThis role is more of a software lead and developer with strong Cloud experience to develop infra softwareArchitect end-to-end agentic pipelines and tools for others to contribute in the teamThe role required knowledge to deploy end-to-end architecture of ML applications, traditional and RAG applicationsArchitect end-to-end AI/ML systems from data ingestion to model deploymentDefine best practices for model serving, data pipelines, and ML-OPS strategiesEngineering, including hands-on model development and architectural designExpertise in traditional ML, deep learning, LLMs, embeddings, and RAG frameworksStrong 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 monitoringStrong understanding of software architecture patterns, distributed systems, and scalable data pipelinesDatabases: 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 platformsPython, Golang and Rust development experience is preferredExperience in manufacturing and predictive maintenance is a plusBackground in controls engineering is a plusCompany OverviewSatyam Venture Engineering Services (Satven) was established in the year 2000 with a singular focus & objective – to cater to the varied & complex design & engineering needs of the automotive industry. It was founded in 2000, and is headquartered in Secunderabad, Andhra Pradesh, IND, with a workforce of 1001-5000 employees. Its website is https://satyamventure.com.

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