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(Senior) AI Engineer

Cells

Bengaluru

5+ years

Today

$41.0K–55.4K/yr

Full time

Onsite

Skills Required LLM

RAG

Vector Database

Langfuse

LangSmith

Python

SQL

Machine Learning

Statistics

Predictive Modeling

NLP

AWS

Palantir Foundry

Snowflake

Apache Spark

Description Senior AI Engineer role in the Data & AI Organization focused on building enterprise-grade AI solutions. The position emphasizes reliable analytics pipelines, agentic workflows, and responsible AI at scale.

Company: Cells170423PURPLE

Role: (Senior) AI Engineer - Data & AI Organisation (all genders)

Location: Bangalore, Karnataka, India

Experience

- 5 or more years of experience in data science, data engineering, analytics, or application design
- Experience within a global organization
- Exposure to Finance, HR, or Procurement data and business processes
- Strong programming skills in Python and SQL
- Foundation in machine learning, statistics, predictive modeling, and NLP
- Practical experience developing LLM-powered applications
- Familiarity with vector stores and reranking techniques
- Experience with LLM observability tooling such as Langfuse, LangSmith, or similar
- Hands-on experience with AWS, Palantir Foundry, or Snowflake
- Experience with Apache Spark, Polars, DuckDB, or dbt
- MLOps and DevOps experience including MLflow, CI/CD pipelines, and Docker
- Ability to communicate complex technical concepts clearly in English
- AI literacy covering bias, fairness, privacy, and governance

Qualification

- University degree or equivalent qualification in Mathematics, Physics, Computer Science, or a related discipline

Responsibilities

- Design and implement reliable analytics pipelines
- Build enterprise-grade agentic workflows
- Deliver scalable AI solutions across Finance, HR, Procurement,



and Legal
- Integrate LLMs, predictive models, and multi-agent frameworks
- Ensure model reliability, reproducibility, and performance at enterprise scale
- Embed explainability, transparency, and security into AI solutions
- Use agentic engineering tools to accelerate delivery
- Work closely with Product Owners, Data Engineers, and Data Scientists in agile PODs
- Support business teams in consuming AI outputs through APIs, dashboards, and embedded analytics
- Contribute to internal AI literacy by sharing knowledge and mentoring peers
- Pilot innovative approaches and identify opportunities to experiment and measure impact

Additional Responsibilities

- Continuously stay up-to-date with emerging technologies and the evolving AI landscape

Nice To Have

- German language skills are a plus

More Skills reranking, agentic engineering tools, Polars, DuckDB, dbt, MLflow, CI/CD, Docker, APIs, dashboards, embedded analytics, AI literacy, bias, fairness, privacy, governance, English, German

Prepare for this role

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