Senior Artificial Intelligence Engineer

SourcingXPress; Chennai District; On-site; INR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

High ownership in projects

Fast career progression

Collaborative team environment

Job summary

SourcingXPress in Chennai is looking for a Senior AI/GenAI Engineer to design and deploy production‑ready Generative AI applications. This is a key role with high ownership where you will work closely with founders and product teams to develop scalable AI solutions.

The ideal candidate should have 5–9 years of experience in software engineering, with a strong focus on LLMs, RAG, and backend development using Python. Benefits include a collaborative environment and opportunities for rapid career advancement.

Qualifications

• 5–9 years of software engineering experience.
• Hands-on experience building and deploying production AI applications.
• Strong backend development experience using Python and REST APIs.

Responsibilities

• Design, develop, and deploy production-grade Generative AI applications.
• Integrate and orchestrate LLMs for business solutions.
• Collaborate with teams to deliver AI-powered features.

Skills

Software Engineering Experience

Production AI/ML applications

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Agentic AI

Python

FastAPI / Flask

Cloud Platforms (AWS, Azure, GCP)

Docker

Tools

LangChain

Pinecone

Weaviate

FAISS

ChromaDB

Job description

Senior AI/GenAI Engineer (Python) | Chennai

We are looking for a Senior AI/GenAI Engineer who is passionate about building production‑ready Generative AI applications, not just prototypes. You'll work closely with founders, product teams, and US stakeholders to design, develop, and deploy scalable AI solutions that solve real‑world business problems. This is an individual‑contributor role with high ownership and the opportunity to shape the company's AI platform and engineering best practices.

Key Responsibilities

• Design, develop, and deploy production‑grade Generative AI applications.
• Build and optimize Retrieval‑Augmented Generation (RAG) pipelines using embeddings and vector databases.
• Integrate and orchestrate LLMs such as OpenAI, Claude, Gemini, Llama, and other open‑source models.
• Develop scalable backend services using Python and modern API frameworks.
• Design AI workflows with a focus on performance, reliability, scalability, and cost optimization.
• Build document ingestion, embedding, semantic search, and AI retrieval pipelines.
• Collaborate with product, engineering, and business teams to deliver AI‑powered features for US customers.
• Drive engineering best practices, architecture decisions, and code quality across AI initiatives.

Required Skills

• 5–9 years of software engineering experience.
• Hands‑on experience building and deploying production AI/ML/Generative AI applications.
• Strong understanding of:
  • Large Language Models (LLMs)
  • Retrieval‑Augmented Generation (RAG)
  • Embeddings
  • Prompt Engineering & Prompt Orchestration
  • Agentic AI / AI Agents
• Experience with GenAI frameworks such as:
  • LangChain
  • LangGraph
  • LlamaIndex
  • CrewAI / AutoGen (good to have)
• Experience working with vector databases such as:
  • Pinecone
  • Weaviate
  • FAISS
  • ChromaDB
  • Qdrant
• Strong backend development experience using:
  • Python
  • FastAPI / Flask
  • REST APIs
  • Async programming
  • Data pipelines
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker, CI/CD, and modern software development practices.

Preferred Experience

• Production deployment of LLM‑powered applications.
• Experience building AI chatbots, copilots, document intelligence, or knowledge retrieval systems.
• Exposure to multimodal AI, evaluation frameworks, and observability for AI systems.
• Experience in startup or fast‑paced product environments.

Benefits

• Build AI products used by enterprise customers in the US.
• Work on cutting‑edge technologies including LLMs, RAG, Agentic AI, and modern AI infrastructure.
• High ownership with direct collaboration with founders and business stakeholders.
• Opportunity to influence technical architecture and product direction.
• Fast career progression toward Staff or Principal AI Engineer.
• Be part of a collaborative, fast‑moving engineering team where your ideas have real impact.