Sr. Software Engineer - Applied AI Engineering

Clari • IN

Python Hybrid

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

Location: India, Hybrid

This is a hybrid position, which will require the ability to be onsite in our Bengaluru, India office as needed. Candidates must be based in India.

THE OPPORTUNITY:

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 realize Clari + Salesloft 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 working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.

WHAT WE’RE LOOKING FOR:

We are seeking Software Engineers who would be Working on cutting-edge technologies alongside a highly motivated and skilled team eager to learn and grow together

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Staff Software Engineer is the career path for you!

THE TEAM:

Clari + Salesloft’ s goal is to build the world's first AI driven Predictive Revenue System. The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.

Responsibilities:

On a day-to-day basis, you will be responsible to -

Architect and lead the design of complex AI systems involving multi-agent orchestration, large-scale RAG pipelines, and production LLM infrastructure

Own end-to-end delivery of critical AI features 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

Build high-scale data pipelines that process millions of records, manage embeddings at scale, and optimize for cost and latency

Mentor SDE-II and 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 Platform teams to shape roadmap and technical strategy

Optimize production systems for performance, cost, and reliability; troubleshoot complex production issues

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to work on an impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference.

Skill Set:

5+ years of software engineering experience with 2+ years building production LLM/GenAI systems at scale

Expert-level Python skills including async programming, performance optimization, and production-grade testing

Deep hands-on experience with ML/LLM frameworks: PyTorch, Hugging Face, LangChain, LlamaIndex, or Ray

Proven experience building and scaling vector search systems (Elasticsearch, Pinecone, Weaviate, FAISS)

Strong system design skills: microservices, distributed systems, event-driven architectures (Kafka/SQS/Kinesis)

Production experience with Kubernetes, Docker, and cloud infrastructure (AWS preferred)

Expertise in LLM optimization: prompt engineering, fine-tuning, embeddings, RAG, token management, and inference optimization

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:

Experience with high-throughput inference using Ray, Triton, vLLM, or TensorRT

Background in LLM evaluation (RAGAS, custom harnesses, human-in-the-loop workflows)

Deep knowledge of multi-agent systems and agentic workflows

Experience optimizing 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

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