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Full-time
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Posted 4 hours, 23 minutes ago
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Job Description
**Role Overview**
We are seeking a talented and driven
**GenAI Engineer**
with 3–6 years of experience to join our dynamic team. In this role, you will leverage your analytical skills, machine learning expertise, and
**Generative AI capabilities**
to manage Gen AI pipelines / workflows, extract insights from unstructured datasets, build intelligent AI solutions, and contribute to the development of innovative, scalable systems that enhance our products and services.
**Key Responsibilities**
* Manage
**GenAI models**
production pipelines to debug defects and provide root cause assessments.
* Build and orchestrate
**LLM‑based workflows**
using frameworks such as
**LangChain**
, including prompt engineering and pipeline design.
* Implement
**Retrieval‑Augmented Generation (RAG)**
architectures leveraging vector databases such as
**Pinecone**
for semantic search and contextual retrieval.
* Work with
**document ingestion and extraction workflows**
, including processing unstructured documents (PDFs, scans, forms) using tools like
**AWS Extract**
and GenAI‑based extraction techniques.
* Collaborate with cross‑functional teams (engineering, product, and business stakeholders) to define data requirements, evaluation metrics, and success criteria.
* Communicate findings and insights effectively to both technical and non‑technical audiences through visualizations, reports, and presentations.
* Stay current with industry trends, tools, and best practices in
**Generative AI, LLMs, data science, and analytics**
.
* Mentor junior team members and contribute to a culture of continuous learning and technical excellence.
**Qualifications**
* Bachelor’s or Master’s degree in
**Data Science, Computer Science, AI/ML, Statistics, Mathematics**
, or a related field.
* **3–6 years**
of experience in a data science, applied ML, or GenAI role, with a strong portfolio of projects.
* Hands‑on experience with
**machine learning frameworks**
(scikit‑learn, TensorFlow, PyTorch).
* Practical experience with
**LLMs, GenAI frameworks, LangChain**
, and prompt‑driven workflows.
* Strong understanding of
**RAG patterns**
, vector embeddings, and vector databases such as
**Pinecone**
.
**Preferred Skillset**
* Experience with
**big data technologies**
such as Spark or Hadoop.
* Familiarity with deploying ML and GenAI solutions on
**cloud platforms (AWS)**
.
* **Palantir**
Experience is an added advantage
* Exposure to
**productionizing LLM pipelines**
, monitoring, and evaluation.
* Domain experience in
**finance, insurance, healthcare, or other data‑intensive industries**
.
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