Senior Staff Engineer, Software in India at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Engineer, Software based in India.
This is a high-impact technical leadership role focused on shaping the future of large-scale AI-driven content and information systems.
You will act as a foundational engineering authority within a product area dedicated to processing and extracting insights from massive volumes of unstructured data.
The role combines deep system architecture ownership with hands-on innovation in applied AI, including LLMs, NLP, and computer vision techniques.
You will design and build scalable, production-grade backend systems that power document ingestion, classification, entity extraction, and intelligent search capabilities.
A significant part of your work will involve solving real-world challenges in production AI systems, including latency, reliability, and cost optimization.
You will serve as a technical multiplier across engineering teams, guiding architecture decisions and mentoring senior engineers.
This role is ideal for a seasoned engineer who thrives at the intersection of distributed systems, AI innovation, and large-scale data platforms.
- Lead the design and development of highly scalable AI-driven backend systems and data processing pipelines for large-scale unstructured data.
- Architect robust, cost-efficient, and high-performance distributed systems capable of processing millions of documents and data inputs daily.
- Research, evaluate, and prototype advanced AI solutions using LLMs, NLP techniques, and computer vision for information extraction and enrichment.
- Solve production-level AI challenges including latency management, prompt engineering optimization, model variance, and system reliability.
- Develop and maintain fault-tolerant, observable systems using modern backend frameworks and distributed architecture patterns.
- Drive mission-critical technical initiatives from design through production deployment in collaboration with cross-functional teams.
- Act as a technical mentor and thought leader, influencing engineering best practices and architecture direction across teams.
- Collaborate with engineering and product stakeholders to define technical strategy for content intelligence and search systems.
- 10+ years of professional software engineering experience building complex, data-intensive backend systems.
- 5+ years of experience designing and scaling production-grade services using frameworks such as FastAPI, Django, Spring Boot, or similar.
- Deep expertise in distributed systems design, including asynchronous processing, streaming, caching strategies, and observability practices.
- Strong experience working with large-scale data pipelines and backend architectures in high-throughput environments.
- Hands-on exposure to AI/ML systems, including experimentation, deployment, monitoring, and iteration in production environments (preferred).
- Solid understanding of DevOps and MLOps practices, including CI/CD pipelines and Infrastructure as Code (IaC).
- Experience with containerization and orchestration technologies such as Docker and Kubernetes is highly desirable.
- Strong leadership and communication skills with the ability to influence technical direction across multiple teams.
- Proven ability to mentor engineers and act as a force multiplier in fast-paced, high-growth environments.
- Strong problem-solving mindset with the ability to balance architectural vision and hands-on execution.
- Competitive compensation package aligned with senior engineering leadership roles
- Opportunity to work on cutting-edge AI and large-scale data intelligence systems
- Exposure to advanced LLM, NLP, and computer vision technologies in production environments
- Global, fast-growing organization with strong engineering culture and innovation focus
- Career growth opportunities in senior technical leadership and architecture roles
- Collaborative and inclusive engineering environment
- High ownership and autonomy over system design and technical direction
- Opportunity to shape foundational platforms powering enterprise-scale insights.