Software Engineer

Lorven Technologies Inc.; Chennai; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Lorven Technologies Inc. seeks a seasoned AI/ML Engineer to design and deliver high-quality, scalable AI applications. You will lead generative AI projects, integrate LLMs, and build robust services using Python, LangChain, and FastAPI.

Responsibilities include developing RAG-based solutions, evaluating models, and deploying production-ready AI components across cloud platforms. Strong collaboration with cross-functional teams is essential.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).
• 5+ years of experience in AI/ML, with significant hands-on experience in Generative AI and LLM-based applications.
• Strong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment.
• Strong expertise in Python and experience building scalable AI applications and services.
• Hands-on experience with LangChain and LangGraph for developing LLM-powered applications, workflows, and AI agents.
• Strong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation.
• Strong hands-on experience with FastAPI for developing and exposing AI/ML services and APIs.
• Experience working with LLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.
• Good understanding of prompt engineering, embeddings, vector search, and LLM evaluation.
• Experience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources.
• Strong understanding of cloud platforms such as AWS, Azure, or GCP and their AI/ML services.
• Understanding of MLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions.
• Strong problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams.

Responsibilities

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).
• 5+ years of experience in AI/ML, with significant hands-on experience in Generative AI and LLM-based applications.
• Strong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment.
• Strong expertise in Python and experience building scalable AI applications and services.
• Hands-on experience with LangChain and LangGraph for developing LLM-powered applications, workflows, and AI agents.
• Strong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation.
• Strong hands-on experience with FastAPI for developing and exposing AI/ML services and APIs.
• Experience working with LLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.
• Good understanding of prompt engineering, embeddings, vector search, and LLM evaluation.
• Experience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources.
• Strong understanding of cloud platforms such as AWS, Azure, or GCP and their AI/ML services.
• Understanding of MLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions.
• Strong problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams.

Skills

Generative AI

LLMs

Python

RAG

Embedding/Vector search

Model evaluation

Deployment

Communication

Education

Bachelor's degree in CS/Data Eng/AI/ML

Master’s preferred

Tools

LangChain

LangGraph

FastAPI

LLM APIs

Vector DB

SQL/NoSQL

Cloud AI services

Job description

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Responsibilities

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).
• 5+ years of experience in AI/ML, with significant hands-on experience in Generative AI and LLM-based applications.
• Strong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment.
• Strong expertise in Python and experience building scalable AI applications and services.
• Hands-on experience with LangChain and LangGraph for developing LLM-powered applications, workflows, and AI agents.
• Strong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation.
• Strong hands-on experience with FastAPI for developing and exposing AI/ML services and APIs.
• Experience working with LLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.
• Good understanding of prompt engineering, embeddings, vector search, and LLM evaluation.
• Experience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources.
• Strong understanding of cloud platforms such as AWS, Azure, or GCP and their AI/ML services.
• Understanding of MLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions.
• Strong problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams.