Senior Software Engineer (Full Stack + GenAI Development)
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Fullstack
- Posted
Skills
Must have
- We are looking for a Senior Software Engineer (Full Stack + GenAI) who thrives on innovation, automation, and cutting-edge technology. This role will be central to designing, developing, testing, and
- What you'll do
- ● Design and develop large-scale subsystems for our next-gen AI - driven security automation platform.
- ● Integrate GenAI capabilities(LLMs, embeddings, vector databases) into orchestration workflows for faster, smarter security incident triage.
- ● Create intuitive APIs and AI-first integrations for seamless interaction with 3rd party ecosystems.
- ● Build and optimize systems leveraging GenAI for natural language interfaces, auto-remediation, and intelligent summarization.
- ● Translate proof-of-concepts in AI/ML and GenAIinto highly functional, production-grade systems.
- ● Drive best practices in full-stack development, GenAI model integration, MLOps, and test automation.
- ● Mentor teams in modern software engineering and responsible AI development practices.
- ● Collaborate globally with cross-functional teams to deliver against tight deadlines with quality and innovation.
- BE / BTech / ME / MTech in Computer Science, AI/ML, or related field (or equivalent work experience).
- 8–12 years of progressive experience in software development, designing distributed systems at scale.
- Expertise in algorithms, data structures, design patterns, and AI/ML integration into production systems.
- Strong programming skills in C# / .NET Core, NodeJS, TypeScript, Angular, Python.
Full description
At Swimlane, you won’t just be building software - you’ll be shaping how GenAI transforms the future of security automation. Build the future of security automation with AI at scale
Are you passionate about full-stack development and eager to harness Generative AI (GenAI), LLMs, and automation to solve some of the most challenging problems in cybersecurity? Would you like to design and deliver a platform that empowers global security teams to process millions of alerts daily with the power of AI-driven orchestration?
What we are looking for :
We are looking for a Senior Software Engineer (Full Stack + GenAI) who thrives on innovation, automation, and cutting-edge technology. This role will be central to designing, developing, testing, and scaling our enterprise SaaS security orchestration and automation applications - now supercharged with GenAI and intelligent automation.
What you'll do
● Design and develop large-scale subsystems for our next-gen AI - driven security automation platform.
● Integrate GenAI capabilities(LLMs, embeddings, vector databases) into orchestration workflows for faster, smarter security incident triage.
● Create intuitive APIs and AI-first integrations for seamless interaction with 3rd party ecosystems.
● Build and optimize systems leveraging GenAI for natural language interfaces, auto-remediation, and intelligent summarization.
● Translate proof-of-concepts in AI/ML and GenAIinto highly functional, production-grade systems.
● Drive best practices in full-stack development, GenAI model integration, MLOps, and test automation.
● Mentor teams in modern software engineering and responsible AI development practices.
● Collaborate globally with cross-functional teams to deliver against tight deadlines with quality and innovation.
Qualifications
- BE / BTech / ME / MTech in Computer Science, AI/ML, or related field (or equivalent work experience).
- 8–12 years of progressive experience in software development, designing distributed systems at scale.
- Expertise in algorithms, data structures, design patterns, and AI/ML integration into production systems.
- Strong programming skills in C# / .NET Core, NodeJS, TypeScript, Angular, Python.
- Hands-on experience with NoSQL/SQL databases(MongoDB, Postgres, MySQL) and vector databases.
- Experience in GenAI/LLM applications– prompt engineering, RAG pipelines, fine-tuning, API integrations.
- Proficiency with real-time applications(WebSockets, SignalR).
- Cloud expertise: AWS services, Kubernetes, Terraform, and AI/ML cloud services (AWS Sagemaker, Bedrock, or equivalent).