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Applied AI Staff Engineer

TalTeam, Inc

St. Louis, Missouri

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JOB DETAILS
JOB TYPE
Full-time
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Storage, Docker, Engineering, GCP (Good Clinical Practices), Git, Machine Learning, NoSQL, Production Systems, Python Programming/Scripting Language, Quantitative Analysis, REST (Representational State Transfer), Relational Databases (RDBMS), SQL (Structured Query Language), Safety Standards, Scalable System Development, Software Administration, Software Engineering, Statistics, Structured Data, Systems Scalability, Technical Leadership, Technical Strategy, Test Harness, Unstructured Data
LOCATION
St. Louis, Missouri
POSTED
1 day ago
Staff Applied AI EngineerWe are looking for a Staff Applied AI Engineer to build scalable, production-grade backend applications that leverage large and complex datasets. This role is software engineering first, with a strong emphasis on designing reliable systems that ingest, process, and serve data to power modern applications and AI-driven solutions. You will work closely with product managers, software engineers, data scientists, and ML engineers to build robust backend services, data-intensive applications, and production AI systems. Success in this role requires strong software engineering fundamentals, practical experience working with data throughout its lifecycle, and the ability to design systems that are scalable, maintainable, and reliable in production.Essential Job Functions:Lead technical strategy for AI/LLM systems across multiple productsArchitect retrieval, orchestration, agentic, and evaluation systems that run reliably in productionSet the standards for AI safety, evaluation, observability, and responsible rollout in a regulated contextMentor Junior-level engineers into strong AI engineers; employ AI native development skills to multiply the productivityLead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the teamDesign, develop, and maintain scalable Python applications and backend servicesBuild systems that ingest, validate, transform, and manage structured and unstructured data in production environmentsDesign data models and storage solutions that support scalable, high-performance applicationsDevelop reusable components for data processing, validation, enrichment, and feature generationQualifications:Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative fieldMandatory Skills:3 years of hands-on experience in machine learning, data science, search relevance, or ranking systemsProven expertise in Python and ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn, or equivalent)Strong background in statistical analysis, data exploration, and working with large-scale datasetsExperience with feature engineering, data preprocessing, and dataPreferred Skills:10+ years of software engineering experience, with deep recent time leading production AI/LLM systemsSeasoned hands-on coder; still writes production Python regularlySeasoned system designer for AI systems at scale — retrieval, agents, evaluation, latency, and cost, vector databases/pipelinesStrong experience building and maintaining production-grade backend applicationsExperience designing and developing RESTful APIs and distributed systemsStrong SQL skills and experience working with relational databases; familiarity with NoSQL databases or modern data storage technologies is a plusSolid understanding of data engineering fundamentals, including data quality, validation, transformation, modeling, and efficient storageExperience designing systems that process large datasets reliably and efficientlyExperience with cloud platforms such as Google Cloud Platform (GCP) or AWSExperience using Docker, Git, CI/CD pipelines, automated testing frameworks, and modern software engineering best practicesCore engineering stack:Languages: Python, REST API, Pandas, NumPyCloud and infrastructure: AWS Services and/or GCP, Kubernetes, BedrockDistributed systems: event-driven architectures, including KafkaOrchestration Frameworks: LangGraph, LangChain, AirFlow, etc.Vector Databases like QdrantNice to have Skills:Experience with Kubernetes and container orchestrationFamiliarity with event-driven architectures and messaging platforms such as KafkaFamiliarity with ML model deployment and inference pipelinesTalteam Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

About the Company

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TalTeam, Inc