Generative AI Engineer

Lonvec; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Lonvec in Mumbai is seeking a Generative AI Engineer to design, develop, and deploy advanced AI solutions using LLMs, RAG, and Agentic AI frameworks. The role emphasizes hands-on work with Python, SQL, and modern GenAI orchestration tools.

You will build GenAI applications, optimize RAG pipelines, and create scalable APIs and data pipelines, collaborating with cross-functional teams while adhering to responsible AI practices.

Qualifications

• 4–10 years in Software Engineering, AI/ML, or Data Engineering.
• Minimum 2+ years hands-on Generative AI or NLP experience.
• Strong proficiency in Python and SQL.

Responsibilities

• Design and build Generative AI applications using LLMs.
• Develop and optimize RAG pipelines for domain-specific use cases.
• Build Agentic AI systems capable of multi-step reasoning and automation.
• Integrate AI models with structured and unstructured data using vector databases.
• Develop scalable APIs and data pipelines using Python.
• Orchestrate AI workflows using LangChain and LangGraph.
• Perform prompt engineering, model evaluation, and performance optimization.
• Collaborate with cross-functional teams to deliver AI-driven solutions.
• Follow responsible AI practices, including testing, monitoring, and governance.

Skills

Python

SQL

LLMs

LangChain

LangGraph

RAG pipelines

Vector databases

REST APIs

Pandas

NumPy

Cloud platforms

Prompt engineering

Job description

Job Title: Generative AI Engineer

Location: Mumbai

Experience: 4–10 Years

Employment Type: Full-Time

Job Description

We are hiring a Generative AI Engineer to design, develop, and deploy advanced AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate should have hands‑on experience in Python, SQL, and modern GenAI orchestration tools such as LangChain and LangGraph.

Key Responsibilities

• Design and build Generative AI applications using LLMs.
• Develop and optimize RAG pipelines for domain‑specific use cases.
• Build Agentic AI systems capable of multi‑step reasoning and automation.
• Integrate AI models with structured and unstructured data using vector databases.
• Develop scalable APIs and data pipelines using Python.
• Orchestrate AI workflows using LangChain and LangGraph.
• Perform prompt engineering, model evaluation, and performance optimization.
• Collaborate with cross‑functional teams to deliver AI‑driven solutions.
• Follow responsible AI practices, including testing, monitoring, and governance.

Required Skills

• 4–10 years of experience in Software Engineering, AI/ML, or Data Engineering.
• Minimum 2+ years of hands‑on experience in Generative AI or NLP.
• Strong proficiency in Python and SQL.
• Experience with Large Language Models (GPT, Claude, Llama, etc.).
• Strong understanding of Prompt Engineering and RAG architectures.
• Experience with Vector Databases (Pinecone, FAISS, Weaviate, etc.).
• Hands‑on experience with LangChain and LangGraph.
• Knowledge of REST APIs, Pandas, and NumPy.
• Experience with Azure, AWS, or GCP is preferred.