Software Engineer, Backend Developer, AI Engineer (Applied​/Software)

Work Location

Burlington, Massachusetts

LS-DI-EN E2E Prod Eng Content & User and Operations

We 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.

• Lead technical strategy for AI/LLM systems across multiple products
• Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production
• Set the standards for AI safety, evaluation, observability, and responsible rollout in a regulated context
• Mentor Junior-level engineers into strong AI engineers;
  Employ AI Native development skills to multiply the productivity (Claude, etc.)
• Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team
• Design, develop, and maintain scalable Python applications and backend services.
• Build systems that ingest, validate, transform, and manage structured and unstructured data in production environments.
• Design data models and storage solutions that support scalable, high-performance applications.
• Develop reusable components for data processing, validation, enrichment, and feature generation.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• At least 3 years of hands-on experience in machine learning, data science, search relevance, or ranking systems.

• At least 5 years of software engineering experience, with deep recent time leading production AI/LLM systems
• Proven expertise in Python and ML frameworks (MLFlow, Tensor Flow, PyTorch, Scikit- learn, or equivalent).
• Strong background in statistical analysis, data exploration, and working with large-scale datasets.
• Experience with feature engineering, data preprocessing, and data Seasoned hands-on coder; still writes production Python regularly
• Seasoned system designer for AI systems at scale - retrieval, agents, evaluation, latency, and cost, vector databases/pipelines
• Strong experience building and maintaining production-grade backend applications.
• Experience designing and developing RESTful APIs and distributed systems.
• Strong SQL skills and experience working with relational databases; familiarity with No
  
  SQL databases or modern data storage technologies is a plus.
• Solid understanding of data engineering fundamentals, including data quality, validation, transformation, modeling, and efficient storage.
• Experience designing systems that process large datasets reliably and efficiently.
• Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS.
• Experience using Docker, Git, CI/CD pipelines, automated testing frameworks, and modern software engineering best practices.

Languages:

Python, REST API, Pandas, Num Py

Cloud and infrastructure: AWS Services and/or GCP, Kubernetes, Bedrock

Distributed systems: event-driven architectures, including Kafka

Orchestration Frameworks:
Lang Graph, Lang Chain, Air Flow, etc.

Vector Databases like Qdrant

Nice to have

Skills:

Experience with Kubernetes and container orchestration. Familiarity with event-driven architectures and messaging platforms such as Kafka. Familiarity with ML model deployment and inference pipelines

This role can be based in either our St. Louis, MO or Burlington, MA office and requires a weekly onsite presence

$110,500 - $185,900. The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses.

• health insurance
• paid time off (PTO)
• retirement contributions
• other perquisites

For more information :

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs…