Gen AI Engineer
At a glance
Mid-level AI Engineering role at Fa Ewjt Saasfaprod1. Gurugram · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Keep GenAI production pipelines running, investigate defects and trace them back to their causes
- Design LangChain workflows for LLM tasks, including prompts and pipeline structure
- Build RAG systems that use Pinecone for semantic search and relevant document retrieval
- Process PDFs, scans and forms through document ingestion and extraction workflows
- Set data needs and evaluation measures with engineering, product and business partners, then share results with mixed audiences
What you bring
- You have three to six years in data science, applied machine learning or GenAI, backed by project work
- A bachelor's or master's degree in data science, computer science, AI/ML, statistics, mathematics or a related area
- You have practical experience with LLMs, GenAI frameworks, LangChain and prompt-based workflows
- You understand RAG methods, vector embeddings and databases such as Pinecone
Who this fits
This mid-level role suits someone with hands-on GenAI and machine learning experience who can work across technical and non-technical teams. The position is hybrid in Gurugram.
From the employer
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.
- 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.
- 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.