Design, build, and maintain scalable microservices and APIs that power AI capabilities across core solutions and offerings.
Develop Generative AI pipelines using frameworks such as LangChain, LlamaIndex, and MCP-based integrations to enable context-aware reasoning and action orchestration.
Collaborate with ML engineers and data scientists to integrate and operationalize models from providers like OpenAI and Anthropic.
Design and deploy ML models that drive predictive insights, anomaly detection, and automated decision-making.
Design and extend MCP servers to define, expose, and manage tools accessible to LLMs.
Implement continuous evaluation and retraining workflows to ensure models remain accurate and relevant as business data evolves.
Work closely with platform teams to align ML and GenAI components with enterprise standards for security, reliability, and performance.
Ensure scalability, performance, and security of AI workloads in multi-tenant cloud environments (AWS, Kubernetes).
Participate in architecture reviews and define MCP-compliant interfaces for consistent, safe model–tool interactions.

Requirements

5+ years of software engineering experience, with exposure to AI/ML and backend platform development.
Proficiency in Python, TypeScript, or JavaScript, with strong coding and debugging skills.
Hands-on experience with cloud and container technologies such as AWS, Docker, and Kubernetes.
Familiarity with AI orchestration frameworks (LangChain, LangGraph, CrewAI) and GenAI design patterns such as RAG, ReAct, and agent-based reasoning.
Experience building or integrating MCP servers to manage tools, context, and state across LLMs and external systems.
Expertise with LLM APIs (OpenAI, Claude, Gemini, etc.) and multi-model orchestration.
Strong foundation in API design, microservice architecture, and event-driven systems.
Knowledge of authentication and security standards, including OAuth2, JWT, and secure coding practices.
Experience with databases such as PostgreSQL or DynamoDB.
Passion for building intelligent platforms that leverage AI to improve efficiency, reliability, and automation.
BS/MS in Computer Science or a related field, or equivalent professional experience.
Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

Benefits

Flexible work environment, including hybrid options.
Comprehensive health and wellness benefits.
Paid time off programs, including volunteer time off.
Market-competitive pay and incentive programs.
Continual development and internal career growth opportunities.
In-person orientation process for all new hires, fostering connection and collaboration from day one.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonTypeScriptJavaScriptAI/MLmicroservice architectureAPI designevent-driven systemsMCP serversdatabasescloud technologies

Soft Skills

collaborationproblem-solvinginnovationcontinuous improvementcommunicationadaptabilityleadershiporganizational skillsanalytical thinkingpassion for AI

Certifications

BS in Computer ScienceMS in Computer Science