Sr. Software Engineer - AI

At Clari + Salesloft, our Sr. Software Engineers will be pivotal to our company's success. You will be a key member of our fast-growing and high-performing team in India. We are looking for experienced Sr. Software Engineers who can help realise Clari + Salesforce's vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive on working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.
Responsibilities:
Architect and lead the design of complex AI platform systems involving multi-agent orchestration, large-scale RAG pipelines, and production LLM infrastructure.
Own end-to-end delivery of critical AI platform from conception to production, including design docs, implementation, and rollout strategy.
Drive technical direction for AI platform components: establish patterns, frameworks, and best practices across the engineering org.
Mentor junior engineers through code reviews, design discussions, and pairing sessions.
Lead evaluation and safety initiatives: design robust eval frameworks, implement guardrails, and ensure AI quality at scale.
Collaborate cross-functionally with Product, Data Science/Engineering, and other Engineering teams.
Optimise production systems for performance, cost, and reliability; troubleshoot complex production issues.
In addition to working with amazing colleagues who exemplify our team's core values, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference.
Requirements:
We are seeking Sr. Software Engineers who will be working on cutting-edge technologies alongside a highly motivated and skilled team eager to learn and grow together.
7+ years of software engineering experience with 3+ years building distributed systems using Python at scale.
Expert-level Python skills, including async programming, performance optimisation, and production-grade testing.
Strong system design skills: microservices, distributed systems, event-driven architectures (Kafka/SQS/Kinesis).
Production experience with Kubernetes, Docker, and cloud infrastructure (GCP preferred).
Track record of technical leadership: driving architecture decisions, mentoring engineers, and shipping complex projects.
Excellent communication: able to influence technical decisions and collaborate effectively across teams.
Nice to Have:
Agentic AI experience: building and deploying RAG, Agents, Prompt tuning, AI Infra [MLOps, LLM gateway. ] etc
Background in LLM evaluation (RAGAS, custom harnesses, human-in-the-loop workflows).
Experience optimising AI costs at scale (prompt caching, batch processing, model selection).
Contributions to open-source AI projects or published research.
Prior experience in high-growth startups or building 0-to-1 AI products.

Experience
7-10 yrs