Senior Software Engineer developing Python applications for life sciences company. Involves working with machine learning and backend algorithms in a hybrid environment.
About the role
- Technical leader and architect managing backend systems in AI-driven art fintech startup. Collaborates closely with engineering and product teams to deliver scalable solutions.
Responsibilities
- Own the entire backend architecture from day one—make the critical decisions on frameworks, databases, infrastructure, and patterns
- Define technical standards and best practices for code quality, testing, documentation, and deployment
- Lead system design for complex problems involving data ingestion, LLM orchestration, and real-time analytics
- Mentor and guide future backend engineers as the team grows (you'll likely hire and lead 2-3 backend engineers in your first year)
- Evaluate and adopt new technologies that improve velocity, reliability, or capabilities
- Build and scale core backend systems to ingest, clean, and serve structured data at scale
- Design clean, performant APIs to power our client portal, data tools, and internal services
- Integrate and orchestrate LLM APIs (e.g. OpenAI, Claude, open-source models) for use in appraisal automation, data extraction, and insight generation
- Architect event-driven systems and asynchronous pipelines (queues, pub/sub) for reliability and scale
- Own our infrastructure including CI/CD, observability, monitoring, and IaC (Terraform, AWS)
- Co-own technical vision with Head of Engineering: collaborate daily on architecture, technical roadmap, and engineering standards
- Partner closely with CPO and product team to shape roadmap based on technical feasibility and effort
- Collaborate with data and frontend engineers to define APIs, contracts, and integration patterns
- Work with company leadership (Head of Engineering, CPO, President) on technical strategy, hiring, and long-term platform vision
- Communicate technical decisions clearly to non-technical stakeholders
Requirements
- 7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role at a high-growth startup or product company
- B.S. in Computer Science or equivalent
- Proven track record of mentoring engineers, leading technical initiatives, and making architectural decisions that scale
- Expert in Python with deep understanding of performance, concurrency, and design patterns
- Strong database expertise (PostgreSQL or similar) including query optimization, schema design, and data modeling
- Hands-on experience with LLM/AI integration in production systems—you've shipped features using OpenAI, Anthropic, or open-source models
- Deep knowledge of distributed systems including event-driven architectures, message queues, and async patterns (Celery, Kafka, SQS, etc.)
- Production experience with AWS (or GCP/Azure) including compute, storage, networking, and managed services
- Strong DevOps fundamentals: Docker, Kubernetes/ECS, Terraform, CI/CD, monitoring/observability
- Data engineering fluency: ETL/ELT patterns, data lakes vs. warehouses, pipeline orchestration
- Mindset: You balance pragmatism with technical excellence —you know when to move fast and when to invest in infrastructure
- You have a bias toward simplicity and can articulate tradeoffs clearly
Benefits
- A Welcoming Team
- Generous paid time off, including vacation, sick days, and holidays
- Paid parental leave (maternity, paternity, adoption, leave)
- Paid volunteer days to encourage community involvement
- Collaborative, innovative, and inclusive company culture
- Employee recognition and appreciation programs
- Team-building activities and social events
- Health, Wellness, and Benefits
- Comprehensive health insurance (medical, dental, and vision) with employees covered 100%
- On-site in our NY HQ fitness center and sauna
- Generous leave policies, including bereavement and reproductive loss leave
- Opportunities for continuous learning and training
- Mentorship programs and leadership development initiatives
- 401(k)
- Life insurance and disability coverage
- Snacks in the office
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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