5+ years of professional software engineering experience
Proficiency in Python, Java, Go, or TypeScript
Experience with distributed systems, APIs, and microservices
Solid grounding in data structures, algorithms, and system design
Hands-on experience with AWS, Azure, or GCP and containers (Docker, Kubernetes)
Experience with CI/CD and automated testing
Strong written and verbal communication skills
Bachelor's degree in computer science or related field, or equivalent experience
Responsibilities
Design and build scalable, secure services across various platform layers
Develop systems for multi-agent orchestration and low-code agent building
Build integrations and data connectors for existing customer stacks
Contribute to governance capabilities for predictable AI behavior
Lead technical design discussions and write clear design documentation
Run thorough code reviews to maintain quality and performance standards
Mentor junior and mid-level engineers
Partner with product teams to translate enterprise requirements into solutions
Participate in on-call rotations to resolve production issues
Improve engineering practices, tooling, and CI/CD processes
Benefits
Annual incentive opportunity based on target achievement
Pre-IPO stock options
Medical, dental, and vision benefits
401(k) with a match
Generous paid time off and holidays
Paid day off for your birthday
Supportive leave policies for all life phases
Full Job Description
Job Description:
About the Role
As a Senior Software Engineer, you'll build core parts of the Business AI Cloud: the services, pipelines, and agent infrastructure that let Fortune 500 customers deploy governed AI in production. You'll own complex features end to end, set the technical bar for your team, and mentor other engineers. You'll work closely with product, design, and applied AI teams.
What You'll Do
Design and build scalable, secure, production-grade services across the Data, Knowledge, Model, or Agentic layers of the platform
Develop systems for multi-agent orchestration, model routing, and low-code agent building
Build integrations and data connectors that work with customers' existing stacks (CRMs, ERPs, data lakes, and cloud data platforms) without migrating or copying data
Contribute to guardrails, observability, RBAC, and governance capabilities that keep AI behavior predictable and compliant
Lead technical design discussions and write clear design docs
Run thorough code reviews and uphold standards for quality, security, and performance
Mentor junior and mid-level engineers
Partner with product and customer-facing teams to turn enterprise requirements into well-scoped solutions
Take part in on-call rotations and help resolve production issues
Help improve engineering practices, tooling, and CI/CD
Early Partnership (25%) - Review RFCs and PRDs to prevent downstream issues, provide architectural guidance during planning phases
Self-Service Enablement (25%) - Create documentation, knowledge bases, and tooling that eliminate support dependencies
Incident Excellence (20%) - Design incident response frameworks, escalation procedures, and comprehensive playbooks that teams can self-execute
Standards & Architecture (20%) - Define technical standards, operational frameworks, and service readiness criteria that enable team autonomy
Service Ownership Coaching (10%) - Guide teams through ownership maturity, scorecard compliance, and operational best practices
Maintain multi-tenant, multi-cloud infrastructure while building the systems that make your expertise scalable
What You'll Bring
Required
5+ years of professional software engineering experience
Strong proficiency in one or more of Python, Java, Go, or TypeScript
Experience building distributed systems, APIs, and microservices
Solid grounding in data structures, algorithms, and system design
Experience with relational and NoSQL databases
Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and with containers (Docker, Kubernetes)
Experience with CI/CD and automated testing
A history of delivering complex projects with minimal supervision
Strong written and verbal communication skills
Bachelor's degree in computer science or a related field, or equivalent practical experience
Production Excellence - Deep incident management, RCA processes, and on-call system design experience
Architecture & Planning - Experience with RFC/PRD review processes, API design patterns, service architecture
Collaboration & Coaching - Track record of enabling team capabilities rather than doing work for teams
Proficiency in scripting (Go, Python, Bash, etc.) and CI/CD systems
Strong bias toward simple solutions and systems thinking approach
Nice to Have
Experience building LLM-powered applications or agent frameworks (RAG, tool use, MCP, multi-agent workflows)
Familiarity with model serving, fine-tuning, or small language model (SLM) workflows
Experience with data platforms such as Snowflake, Databricks, BigQuery, or Spark
Background in knowledge graphs, data integration, or workflow and process automation
Experience building for security, compliance, and governance in regulated industries (SOC 2, ISO 27001, GDPR, HIPAA)
Experience with observability tooling and event-driven architectures
Experience building enterprise SaaS products at scale
AWS Solutions Architect Professional or relevant certifications (GCP, Azure, etc.)
Experience leading organizational transformation initiatives
Kubernetes certifications (CKA, CKAD, CKS)
Background in service ownership models and platform engineering
Hiring Pay Range: $159,000 - $198,800
Benefits:
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference: USA - CA - Palo Alto
About Uniphore
Uniphore is a global provider of conversational AI solutions. The company was founded in 2008 and has offices in India, the United States, and Singapore. Uniphore's solutions use natural language processing and machine learning to enable businesses to automate customer service and support operations. The company's clients include some of the world's largest companies in industries such as banking, insurance, and telecommunications. Uniphore has won numerous awards for its innovative solutions and has been recognized as a leader in the conversational AI market.
