Note: The job is a remote job and is open to candidates in USA. Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. They are seeking an Engineering Manager to lead teams in delivering AI-powered software systems, ensuring high-quality execution and alignment between business objectives and technical solutions.
Responsibilities
- Lead and support teams of software and data engineers delivering AI-enabled systems in production
- Own the technical execution and delivery of client-facing projects, ensuring quality, reliability, and outcomes
- Collaborate with cross-functional teams to translate business needs into production-ready systems
- Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows
- Provide technical mentorship and coaching to engineers through problem solving sessions, code reviews, design discussions, and regular feedback
- Balance short-term delivery needs with long-term system maintainability and scalability
- Stay current with emerging AI and software technologies and apply them pragmatically to client solutions
Skills
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 6+ years of full-stack software engineering experience
- 1-3 years of experience leading or managing technical teams
- Demonstrated ability to set technical direction for client-facing initiatives, balancing delivery commitments, stakeholder expectations, and technical quality
- Proven ability to lead client projects, build strong relationships, and deliver on-time results aligned with client goals
- Experience designing, building and maintaining production-grade systems in cloud environments (e.g., AWS, Azure, etc.)
- Expertise in software engineering best practices, system design, and agile delivery methodologies
- Experience with version control systems (e.g., GitHub) and CI/CD processes
- Strong written and verbal English communication skills
- Experience building or deploying AI-enabled systems, including LLM-based workflows (e.g., RAG, agentic systems, fine-tuning)
- Experience with data-intensive systems, including ETL/ELT pipelines and analytical platforms
- Experience with Infrastructure as Code (e.g., Terraform)
- Experience with workflow orchestration (e.g., Airflow, AWS Step Functions)
- Strong experience with SQL and relational or analytical data systems
- Associate-level cloud architect certification (e.g., Azure Solutions Architect Associate, AWS Solutions Architect Associate, or equivalent)
Benefits
- Medical, dental and vision coverage
- Paid time off
- 401(k) plan
Company Overview