Full Stack Engineer

TargetHR; India; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

TargetHR is seeking an experienced AI Software Engineer to build AI-driven workflows that automate processes and scale across millions of API hits. You will integrate AI capabilities into actions like email, SMS, and code execution, and develop tools for custom AI agents in a remote-first environment.

You will work with OpenAI, Hugging Face, and vector databases to design context-aware solutions, scale LLM processing, and mentor junior engineers on AI projects.

Qualifications

• Experience with AI platforms like OpenAI, Hugging Face, vector databases and RAG systems.
• Skilled in building and integrating knowledge bases and leveraging AI for context-aware solutions.
• Proficient in data processing for LLMs and scaling AI systems.
• Experimentation-driven with strong ownership and a hacker mindset.
• 4+ years of software development experience, including 1.5+ years in AI-related projects.

Responsibilities

• Build workflows that simplify automation through prompt-based inputs.
• Integrate AI capabilities into actions like Email, SMS, and Code execution.
• Implement AI-driven recipe and template suggestions based on user prompts.
• Create tools for building custom AI agents to handle automation tasks.
• Work with Retrieval-Augmented Generation (RAG) systems and knowledge bases to enable intelligent, context-aware workflows.
• Optimize APIs to handle millions of hits monthly with low latency.
• Mentor junior engineers and lead AI-driven projects.

Skills

OpenAI

Hugging Face

Vector databases

RAG systems

Knowledge bases

LLMs

Software development

Job description

Our client is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, they supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.

To date, businesses operating on our client have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.

Behind the platform, powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our people

With over 2,000 team members across 10+ countries, operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our impact

Every month, our client enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.

About Us

We are building the future of automation by integrating AI into workflows to make processes seamless and intelligent. Join us to lead the development of innovative AI-driven features at scale.

Responsibilities:

• Build workflows that simplify automation through prompt-based inputs.
• Integrate AI capabilities into actions like Email, SMS, and Code execution.
• Implement AI-driven recipe and template suggestions based on user prompts.
• Create tools for building custom AI agents to handle automation tasks.
• Work with Retrieval-Augmented Generation (RAG) systems and knowledge bases to enable intelligent, context-aware workflows.
• Optimize APIs to handle millions of hits monthly with low latency.
• Mentor junior engineers and lead AI-driven projects.

Qualifications

• Experience with AI platforms like OpenAI, Hugging Face, vector databases (e.g., Pinecone, Weaviate), and RAG systems.
• Skilled in building and integrating knowledge bases and leveraging AI for context-aware solutions.
• Proficient in data processing for LLMs and scaling AI systems.
• Experimentation-driven with strong ownership and a hacker mindset.
• 4 + years of software development experience, including 1.5+ years in AI-related projects.