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AI / ML Engineer Job Opening In Pushkar – Now Hiring Chargebee


Job description

Why this role

Chargebee’s GBT AI team builds internal AI agents and workflows that power smarter, faster operations across Finance, HR, Legal , Marketing, RevOps and GTM.

We’re looking for an AI Engineer who can think end-to-end—understand the business process, design the right solution (not just an out-of-the-box tool), and ship robust agentic systems that deliver measurable impact.


What you’ll do

  • Design, build, and ship AI agents that automate internal workflows (e.g., case triage, knowledge assistants, data reconciliation, summarization, entity extraction, task orchestration).

  • Own the full lifecycle : problem framing, data/knowledge mapping, prototype → production, instrumentation, and iteration based on metrics.

  • Integrate with the GBT Tech stack using APIs, webhooks, and internal services across our SaaS stack (ticketing/CRM/data warehouse).

  • Engineer LLM prompts & tools (function calling, tools/toolkits, retrieval/RAG, multi-step planning) and select the right model for the job.

  • Evaluate and harden solutions with offline tests, golden sets, guardrails, and observability; drive down hallucinations and failure modes.

  • Document clearly and partner with stakeholders to align on success criteria, SLAs, and ongoing maintenance.

  • (Nice-to-have ML) : apply ML where it adds value—basic classifiers/embeddings, light fine-tuning/adapters, feature work, and A/B evaluation.


What you’ll bring (must-haves)

2-6 years of professional software experience , including hands-on delivery of at least one AI agent or workflow in production or a serious pilot.

  • Practical LLM API experience : you’ve integrated OpenAI and/or Anthropic (Claude) (or comparable model APIs) to build real features.

  • Strong coding in Python or TypeScript , with sound software engineering practices (testing, code reviews, CI/CD, Git Best Practices).

  • Working knowledge of prompt design , function/tool calling , RAG (vector stores, chunking, indexing), and pipeline orchestration .

  • Comfort with HTTP APIs , authentication, and integrating multiple systems into a coherent solution.

  • Experience in developing, debugging and optimizing data pipelines and transformations using Python/Pandas/SQL.

  • Experience working with at least one no-code or low-code agentic workflow automation tool such as n8n, Zapier, or OpenAI Agent Builder.


Nice to have

  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel , or similar agent frameworks.

  • Observability/eval tools (e.g., LangSmith, Phoenix/Arize, Weights & Biases , OpenTelemetry).

  • Vector databases (Pinecone, Weaviate, pgvector,etc ) and data systems (SQL, dbt, warehouse basics).

  • Knowledge of ML fundamentals (classification,forecasting, embeddings, evaluation)
  • Security & compliance awareness (PII handling, access controls, red-team/guardrails).

  • SaaS/B2B domain familiarity; subscription billing/revenue ops context is a plus.

  • Experience working with major cloud technologies (AWS, Azure, or GCP)
  • Experience integrations data to GTM Tech stack and other business systems such as SFDC, Netsuite, Success Factors, ADP, Google Big Query


How we work

  • Small, outcome-oriented team that ships iteratively with clear success metrics (accuracy, deflection rate, cycle time, $ impact).

  • Bias to automation + ownership : you’ll take features from discovery → design → deployment.

  • Model-agnostic approach: choose the right tool/model for quality, latency, and cost.


Apply with

  • A short note on an agent or AI workflow you’ve built , your role, tech stack, and impact.

    Links (repo, demo, doc) welcome.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI ML Potential: Insight & Career Growth Guide


Real-time AI ML Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI ML in Pushkar, India, highlighting market share and opportunities for professionals in AI ML roles.

117245 Jobs in India
117245
906 Jobs in Pushkar
906
Download Ai Ml Jobs Trends in Pushkar and India

Are You Looking for AI / ML Engineer Job?

Great news! is currently hiring and seeking a AI / ML Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Chargebee adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Pushkar. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for AI / ML Engineer Job Success

Chargebee interview tips for AI / ML Engineer

Here are some tips to help you prepare for and ace your AI / ML Engineer job interview:

Before the Interview:

Research: Learn about the Chargebee's mission, values, products, and the specific job requirements and get further information about

Other Openings

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