You thrive in an agile, sprint-driven environment and bring a strong engineering mindset: clean architecture, test-driven development, automated testing, CI/CD, and scalable system design. You’re also excited by the evolution of AI engineering - especially RAG (Retrieval-Augmented Generation), LLM integrations, and agentic workflows. You can take a problem from ambiguity to delivery—design → build → test → deploy → iterate.
What you'll do
WHAT YOU “MIGHT” DO (No day is the same)
Design: Create technical designs (HLD/LLD) for new capabilities and improvements, ensuring solutions are scalable, secure, and maintainable.
Backend engineering (Python): Build and enhance backend services and APIs primarily in Python/Django (and related frameworks as needed), focusing on performance, reliability, and clean architecture.
Database & data layer: Work with relational databases (e.g., PostgreSQL/Redshift) and support data modeling, query optimization, and production readiness.
AI/RAG & Agent work: Design and implement custom RAG workflows and LLM integrations—covering retrieval, prompt orchestration, grounding, and connecting to vector stores (e.g., Pinecone/FAISS) where applicable.
Data pipelines: Contribute to building/operating data pipelines and jobs using AWS and open-source tools (e.g., EMR/Glue/Redshift, Airflow/Spark)—including orchestration, monitoring, and reliability improvements.
Engineering excellence: Write code that holds up in TDD, build automated tests, participate in reviews, and support CI/CD practices using tools like GitHub and JIRA.
Sprint ownership & leadership: Independently run sprints for a small team—planning, task breakdown, execution tracking, and clear communication with internal stakeholders and clients.
Who You Are
WHO YOU ARE
4–7 years of strong experience in Python, with deep expertise in Django and other frameworks.
Strong backend foundation and familiarity with frameworks such as Django / Flask / Pyramid (or equivalents).
Solid experience working with AWS (or similar cloud platforms) in production environments.
Strong understanding of
HLD/LLD, system design fundamentals, API design, and scalable architectures
Engineering best practices: testing, code quality, documentation, and maintainability
Hands-on experience building AI/LLM solutions, including
RAG pipelines and agent workflows
Tools/frameworks such as LangChain, Pydantic, and related ecosystems
Familiarity with AI agent design patterns and best practices
AI Disclosure
As part of our recruitment process, we may use technology assisted tools, including automated systems, to support the review and assessment of applications. These tools do not make the final decisions. All decisions related to screening, interviewing and selection are made by our Talent Acquisition and hiring teams.
Note: Hybrid work in office is an essential function of the job.
Our Commitment to Inclusion
We believe in inclusivity and do our best work when people with diverse perspectives, backgrounds, and skills are brought together. Our Core Values are at the root of GALE’s collaborative environment and help to foster a strong community. Our Code of Conduct, Human Resources policies, and executive investment in inclusion further support and protect GALE’s inclusive workplace. GALE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Compensation
In order to comply with equal pay and salary transparency laws in various locations, we believe the target compensation for this role is content input by hiring team….. per year. Actual compensation is influenced by a wide array of factors including but not limited to skill set, qualifications, job performance, level of experience, location, and business needs. For more information on other benefits we offer, please visit https://www.gale.agency/careers
Our Hiring Process
We want you to be just as discerning in making your next career move as we are finding great talent to join our team. Our interview process will allow you to meet a range of people from various disciplines and domains both virtually and in person. Please discuss with our recruiters if you require any accommodations throughout the process to help enable a smooth interview.
