Senior Staff Engineer (AI & Agentic Engineering)
New
J
JobgetherSoftware Engineering
IndiaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- C#.NETLLMDistributed Systems
Requirements
- 8+ years of experience in backend, distributed systems, or software engineering with ownership of large-scale production systems.
- Hands-on experience building production-grade AI applications using LLMs, agent frameworks, Retrieval-Augmented Generation (RAG), tool-calling, or similar technologies.
- Proven ability to independently drive 0-to-1 product development and deliver solutions in fast-moving, ambiguous environments.
- Strong software architecture and system design expertise, with confidence making and defending technical decisions.
- Experience collaborating across engineering, architecture, and product teams to define technical direction and product strategy.
- Excellent communication, leadership, and stakeholder management skills.
- Self-motivated mindset with the ability to prioritize, execute, and deliver without detailed specifications.
- .NET and C# proficiency is highly desirable.
- Experience in startup or high-growth environments is a strong advantage.
- Familiarity with e-commerce, ERP platforms, integrations, or transaction-heavy systems is a plus.
Responsibilities
- Design, develop, and deploy AI-driven features, autonomous workflows, decision engines, and LLM-powered capabilities from concept through production.
- Lead end-to-end delivery of complex, ambiguous initiatives, defining both the problem space and the technical approach independently.
- Own architectural decisions for AI and agentic systems, ensuring scalable, secure, and maintainable integration with existing platform services.
- Collaborate closely with engineering and product leadership to shape product strategy, technical roadmaps, and AI adoption opportunities.
- Evaluate emerging AI technologies and identify practical use cases that deliver measurable customer value.
- Establish engineering standards, technical patterns, and best practices for AI and agentic application development.
- Mentor fellow engineers by providing technical guidance, architectural reviews, and thought leadership across AI initiatives.
- Communicate technical decisions, trade-offs, and strategic recommendations effectively to both technical and non-technical stakeholders.
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