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Department:

Engineering

Location:

Hybrid — Trilogy NextGen office (3 days on-site / 2 days remote)

Employment:

Full-Time — Direct Hire

Experience:

4–6 Years

Reports To:

Director of Engineering / Principal Engineer

Trilogy NextGen is hiring a Senior Software Engineer with strong Python expertise and a working passion for Artificial Intelligence and Machine Learning. In this direct-hire role, you will architect and build scalable backend systems, data pipelines, and AI-powered features that power both Trilogy NextGen’s internal platforms and the customer-facing products we deliver to clients.

You will work at the intersection of software engineering and applied ML — implementing models, building intelligent APIs, and integrating cutting-edge AI tools into production. You’ll also serve as a technical mentor to mid-level and junior engineers, contribute to architectural decisions across multiple projects, and help shape Trilogy NextGen’s engineering culture and best practices.

•     Internal projects: Architecting Trilogy NextGen’s shared platform services, ML/AI tooling, data pipelines, and developer infrastructure.

•     Customer-facing projects: Leading the technical design and delivery of AI-enabled features for client engagements — partnering directly with customer stakeholders on architecture, trade-offs, and rollout.

•     Architect and develop robust, scalable backend services and APIs using Python (FastAPI, Django, or Flask).

•     Design and build data pipelines for ingestion, transformation, and serving of structured and unstructured data.

•     Integrate and deploy machine learning models into production environments — internal and customer-hosted — ensuring performance, reliability, and maintainability.

•     Collaborate with data scientists to productionize ML experiments, bridging the gap between research and deployment.

•     Build and maintain AI-powered features including recommendation engines, NLP pipelines, and LLM integrations.

•     Lead technical design discussions, write architecture decision records (ADRs), and drive code quality through rigorous review.

•     Mentor mid-level and junior engineers through pair programming, feedback, and knowledge sharing.

•     Participate in system design reviews, capacity planning, and performance optimization for high-scale services across internal and customer workloads.

•     Engage with customer technical stakeholders — leading design sessions, walking through trade-offs, and representing Trilogy NextGen’s engineering point of view.

•     Contribute to the evaluation and adoption of new AI tools, frameworks, and LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).

CORE ENGINEERING — PYTHON

•     Python 3.x — advanced proficiency (type hints, async/await, decorators, generators).

•     FastAPI, Django REST Framework, or Flask for API development.

•     Proficiency in writing clean, testable, and scalable Python codebases.

•     Experience with task queues (Celery, RQ) and async processing.

MACHINE LEARNING & AI

•     Hands-on experience with ML libraries: scikit-learn, XGBoost, LightGBM.

•     Familiarity with deep learning frameworks: TensorFlow and/or PyTorch.

•     Experience integrating Large Language Models (LLMs) via APIs — OpenAI, Anthropic Claude, Cohere, or similar.

•     Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, feature engineering, overfitting.

•     Experience with prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, or fine-tuning workflows.

•     Familiarity with MLOps practices — model versioning (MLflow), monitoring, and CI/CD for ML pipelines.

DATA & DATABASES

•     PostgreSQL / MySQL — advanced querying, schema optimization, indexing.

•     MongoDB or similar NoSQL for unstructured data.

•     Data pipeline tools: Apache Airflow, Prefect, or similar orchestration frameworks.

•     Experience with data warehouses: BigQuery, Snowflake, or Redshift.

•     Proficiency with Pandas and NumPy for data manipulation.

CLOUD & INFRASTRUCTURE

•     Strong AWS, Google Cloud Platform, or Azure experience — compute, storage, serverless functions, managed ML services (SageMaker, Vertex AI).

•     Containerization with Docker; orchestration with Kubernetes or ECS.

•     Infrastructure as Code (Terraform or Pulumi) preferred.

•     Observability tooling — logging, tracing, alerting (Datadog, Prometheus, CloudWatch).

SOFTWARE ENGINEERING FOUNDATIONS

•     System design — distributed systems, microservices, event-driven architecture.

•     Git and advanced version control workflows.

•     CI/CD pipeline design and management.

•     Comprehensive testing: unit, integration, and end-to-end testing (pytest, coverage).

•     Strong grasp of software architecture patterns: CQRS, event sourcing, domain-driven design.

•     Experience with vector databases (Pinecone, Weaviate, pgvector) for AI/search use cases.

•     Ability to evaluate trade-offs in system design decisions and communicate them clearly to internal leadership and customer stakeholders.

•     Familiarity with data privacy regulations (GDPR, HIPAA) and responsible AI principles — especially relevant for customer engagements.

•     Strong analytical and debugging skills for complex, distributed system issues.

•     Agile/Scrum leadership experience — sprint planning, estimation, backlog grooming.

•     Excellent written and verbal communication for cross-functional collaboration with product, data, leadership, and customer teams.

•     Proactive ownership mentality — comfortable driving projects from definition to delivery across both internal and client work.

•     Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or equivalent experience.

•     4–6 years of professional software development experience, with at least 2 years of significant Python usage.

•     Demonstrated experience building or integrating ML/AI features in production systems.

•     Experience mentoring engineers and contributing to technical strategy.

•     Portfolio of projects or contributions demonstrating applied ML/AI engineering.

•     Authorized to work in the United States without sponsorship now or in the future (this is a direct-hire role).

•     Able to work a hybrid schedule from the Trilogy NextGen office.

•     High-impact technical leadership across a diverse portfolio of internal platforms and customer engagements.

•     Direct-hire role with full benefits, growth pathways, and clear advancement into Staff/Principal tracks.

•     Hands-on AI/ML work in production — not slides or proofs of concept.

•     Collaborative engineering culture that values mentorship, ownership, and shipping quality software.