Senior Software Engineer, Workato
MLAI services
Control & execution platform for enterprise AI
Open for applications
Control & execution platform for enterprise AI
1001+ employees
Open for applications
1001+ employees
Company mission
To help businesses streamline their operations by providing a platform to automate their work and integrate their stacks, all in one place.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of experience as a Software Engineer, with strong proficiency in Python
- Proven track record of building and maintaining production-grade systems using Python
- Strong understanding of distributed systems, API design, and data-driven architectures
- Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar)
- Familiarity with AI/ML system design, including LLM integration and evaluation pipelines
- Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation)
- Python
- FastAPI
- LLM APIs (OpenAI, Anthropic, Qwen, OSS)
- LiteLLM
- Qdrant
- PostgreSQL
- ElasticSearch
- Langfuse
- Kubernetes
- GitHub Actions
- ArgoCD
- Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences
- Collaborative and proactive approach, comfortable working across teams in a dynamic environment
- Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation
- Curiosity and a genuine interest in emerging AI technologies and modern backend architectures
Desirable
- Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models)
- Background in developer platforms or AI infrastructure services
- Familiarity with vector databases, semantic retrieval, and knowledge graph architectures
- Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks
- Experience developing enterprise-scale SaaS or distributed backend systems
- Contributions to open-source projects in Python, AI, or infrastructure engineering
What the job involves
- We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services
- This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem
- Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models
- Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents
- Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch
- Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools
- Build and maintain shared Python libraries and SDKs used across multiple applications and microservices
- Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform
- Develop and enhance monitoring, validation, and observability for production-grade AI solutions
- Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement
- Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments
- Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence
- Example Projects:
- Building an evaluation and observability framework for AI model performance and reliability
- Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools
- Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases
- Designing AI services that process and reason over high-volume real-world data at scale
Our take
Many businesses struggle with lack of team integration. There are a plethora of handy apps available, and various teams within businesses often use different processes, tools, and software. This has led to many businesses attempting to patch together technologies and create ad-hoc solutions that fail when they need to be scaled. Workato allows businesses to integrate data and apps so that teams can collaborate and communicate securely.
Workato has built a single platform that integrates apps, processes, data, and user experiences to improve efficiency, communication, and business flexibility. There are many integration platforms available, such as SnapLogic and Mulesoft Anypoint Platform, however, Workato has aimed its platform at users who have minimal technical experience, rather than the IT team.
Workato has continued to expand its partnerships and workforce, and is well set to see further growth as it innovates its product offerings and capabilities. The company was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Integration Platform as a Service, making five years it has participated and five years it has been recognized.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2021
$200m
SERIES E
Sep 2021
$110m
SERIES D
Total funding: $415m
Company benefits
- Flexible Working Arrangements: We want to empower our employees to give us their 110%, and still be able to fully live their personal lives beyond what they do at Workato.
- Great Employee Benefits: Our employee benefits are designed not just to help everyone at Workato fulfill their basic and tangible needs, but also feel appreciated for their contributions to the company.
- Professional Development Opportunities: We are invested in the long-term professional development of our people, beyond what they bring to the table on their first day at work. We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
- Dedicated Wellness & Recreation Time: We make it a point to dedicate time to pause, recharge and get to know each other better. From virtual game nights to fitness sessions, there's always time for a little fun on the calendars.
Company HQ
Palo Alto, CA
Leadership
Vijay Tella
(Co-Founder & CEO)Spent 15 years as an Engineer at Teknekron and TIBCO, before joining Oracle as CSO. They also served as CEO at Qik, and VP at Skype.
Harish Shetty
(Co-Founder & Strategic Advisor)Previously held leadership roles in engineering at TIBCO, Blink, and iProfile.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 52 more jobs at Workato