Sr. Data Scientist - Agentic AI

Clari; Bengaluru; Ibrido; INR 3.000.000 - 5.500.000; Tempo pieno

Descrizione del lavoro

Clari + Salesloft seeks a Sr Data Scientist to prototype and productionize agentic AI capabilities for revenue teams. You will turn ambiguous problems into working prototypes using RAG, LLM inferences, and agent-based solutions, then partner with engineering to deploy.

The role emphasizes hands-on build, evaluation, and rapid iteration, with a focus on end-to-end delivery and collaboration across platforms.

Competenze

• Experience shipping LLM-based inference, RAG, or agent work.
• Hands-on coding in Python and production workflows.

Mansioni

• Prototype fast: turn rough problems into working prototypes within days.
• Implement prototypes with production-quality Python code.
• Collaborate with platform engineers to deploy and maintain systems.
• Own evaluation: offline eval, LL M‑as‑judge, regression checks.
• Apply classical NLP/ML where appropriate and LLM-based methods where needed.

Conoscenze

LLM-based inference

RAG platforms

Agents frameworks

Evaluation

Guardrails

Multi-agent systems

Graph RAG

Python & SQL

Formazione

Bachelor's or Master's in CS/Statistics/Math

Strumenti

LangChain

LlamaIndex

DSPy

In-house harness

Descrizione del lavoro

Job Title: Sr Data Scientist, Agentic AI

Bengaluru,India

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.

ABOUT THE COMPANY:

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.

THE OPPORTUNITY:

At Clari + Salesloft, our Sr Data Scientist will be pivotal to our company’s success. Our Sr Data Scientist will be a hands‑on builder, someone who takes an ambiguous agentic AI problem, turns it into a working prototype, implements it, and partners with engineering to get it into production. This is an execution role: you will spend most of your time prototyping, building eval. On a day-to‑day basis, you will:

• Prototype fast: Turn a rough problem statement ("can we auto-summarize this deal", "can an agent update this CRM field safely") into a working prototype - RAG pipeline, LLM‑based Inferences, or an agent - within days, not weeks.


• Implement for real: Take your own prototypes from notebook to production‑quality Python code, tested, typed, and reviewable.


• Ship with engineering: Partner with the platform engineers who own the harness and infra to get your work live. You don't need to design the harness, but you need to understand it well enough to build within it and debug when something breaks.


• Own eval for all AI work: Build and run the evaluation for what you ship - offline eval sets, LLM‑as‑judge checks, and tracking regressions before and after changes.


• Use the right tool for the job: Apply classical NLP/ML where it's the better fit, and LLM‑based approaches where they're not. You should have real judgment from having done both.


• Learn and adapt fast: Pull in proof‑of‑concepts, tests, and external research when the path isn't obvious, and course‑correct quickly rather than waiting for direction.

In addition to working with amazing colleagues who exemplify our 'team over self' core value, you will have the opportunity to build impactful, revolutionary software that is changing the way revenue is predicted.

WHAT WE’RE LOOKING FOR:

We're looking for a builder, not a manager‑in‑waiting. Someone who has spent the last 2-3 years genuinely shipping LLM‑based inference, RAG, or agent work (frameworks, sometimes multi‑agent) after 2-3 years of solid core NLP‑driven data science before that. If you'd rather be hands‑on‑keyboard turning ambiguous problems into working software, this 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 Applied AI Engineering team supplies the AI platform, the harness, memory, retrieval, and tooling layers, that our agents and models run on. This role sits alongside that platform team as an execution‑focused builder: taking the platform's building blocks and turning them into shipped, evaluated agentic capabilities for revenue teams. If you're energized by fast prototyping, real production ownership of your own work, and close collaboration with the engineers who run the platform underneath you, we'd love to meet you.

• Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes


• Mission: Bring science to the art of sales

THE SKILL SET:

• Experience: 6-8 years total, including 2-3 years hands‑on in agentic AI and 2-3 years in core NLP/DS before that.


• Agentic AI - Hands‑On Build List: Real, personal build experience with:
  
  
  
  • LLM‑based inference and Q&A systems in production
  
  
  • RAG platforms — retrieval pipelines, chunking, tuning for relevance
  
  
  • Agents built with an existing framework (LangChain, LlamaIndex, DSPy, or an in‑house harness)
  
  
  • Evaluation - offline eval sets, LLM‑as‑judge, regression tracking for what you ship
  
  
  • Guardrails - input/output validation on your own agent's actions
  
  
  • Multi‑agent systems, MCP‑style tool registries, Agent-to-Agent (A2A) coordination [good to have]
  
  
  • Graph RAG / knowledge‑graph‑backed retrieval [good to have]
  
  
  
  


• Core NLP & ML Foundations: 2-3 years working in classical NLP/DS - text classification, NER, embeddings, feature engineering, before moving into LLM‑era work. You should be able to say why a classical approach beats an LLM for a given problem, not just default to the LLM.


• Engineering First: Strong Python and SQL; you write production‑ready code (modular, tested, typed) and are comfortable in a normal engineering workflow (Git, Docker, CI/CD).


• Production Partnering: Understands staged/canary‑style promotion of a model or agent change. You gate a rollout on your own eval results and know how to flag risk early rather than let engineering discover it in production.


• Judgment Over Scope: Scopes your own small‑to‑medium piece of work into clear milestones, gets unblocked without much oversight, and knows when to ask for help versus push through.

Education: Bachelor's or Master's in Computer Science, Statistics, Math, or an equivalent quantitative field. An advanced degree is a plus but not required, trajectory and hands‑on depth matter more here than pedigree.

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com or @salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job‑related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.