JD: AI Solutions Engineer

Experience: 2–3 Years

Location: Jaipur (On-site)

The Vision

We aren't looking for a research-focused academic to build models from scratch. We are looking for solid technical personnel, a "smartie" who can take a business challenge (such as automating complex HR workflows or building intelligent enterprise search) and Implement and iterate on AI-driven solutions, translating business requirements into functional, production-ready code. You should be an engineer who builds with speed, focusing on high-quality logic and using modern technology to solve real-world problems. This is a hands-on engineering role; you will write, review, and own real code every day.

Key Responsibilities:

• System Orchestration: Design and deploy production-ready applications by integrating models from Gemini (Vertex AI), OpenAI, and other leading providers.
• Knowledge Retrieval & Intelligent Search: Build advanced RAG (Retrieval-Augmented Generation) pipelines. You will implement sophisticated indexing and retrieval using tools like Vertex AI Search, Vector Databases, or similar enterprise search technologies to ensure our systems find the right information with high precision.
• Product Development: Develop end-to-end solutions for various domains, including intelligent HR technology, automated document analysis, and autonomous business agents.
• Prompt & Context Engineering: Craft, test, and optimize complex system prompts. You must be an expert in managing context windows and utilizing function calling to make models execute real-world tasks effectively.
• Technical Ownership: Collaborate with a lean team and provide technical mentorship to junior developers or intern.s ensuring timely project delivery and maintaining high standards of code quality and documentation.
• Collaboration: Work with product managers, designers, and other stakeholders to define and refine AI solutions.

Technical Skills We Value:

• Solid Engineering Base (Non-Negotiable): Solid, working proficiency in at least Python or TypeScript/Node.js is a hard requirement. You must be able to build, debug, and own production backends without hand-holding. Full-stack exposure (APIs, data persistence, basic frontend integration) is a strong plus.
• On AI-Assisted Coding: We actively encourage AI coding tools (Cursor, Copilot, Claude Code, etc.). Shipping fast with great tools is a skill, not a shortcut. That said, you must have genuine command of at least one language: you should be able to read, debug, and reason about every line you commit, and not be lost the moment the AI gets it wrong.
• Orchestration Mastery: Proven experience with AI frameworks such as LangChain, LangGraph to build multi-step, stateful workflows.
• Vector Search & Retrieval: Proven ability to implement and optimize Vector Databases (Such as Pinecone or pgvector) for RAG pipelines. Familiarity with structured data indexing and hybrid search strategies.
• Prompt Expertise: High proficiency in prompt engineering. You know how to structure instructions and context to get deterministic, high-quality outputs from any model.
• Cloud Agnostic Mindset: Understanding of GCP (specifically the Vertex AI suite), AWS, or Azure.

About Concret.io

Founded in 2014 by Abhinav Gupta and Anjana Gupta, Concret.io thrives on innovation, ownership, and continuous learning.

• Learning Never Stops: We fund certifications and offer continuous upskilling in tech and marketing.
• You’re in Charge: Every team member owns their outcomes—we celebrate wins and accountability alike.
• Aiming for Excellence: Quality, creativity, and clear communication define everything we do.

To Apply

Send your resume and a brief note on a cool integration you’ve built to chahat.vohra@concret.io.

Pay: ₹500,000.00 - ₹1,100,000.00 per year

Benefits:

• Health insurance
• Leave encashment
• Provident Fund

Work Location: In person