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Salary
$21k – $26k per year (gross)
Location
In office (Noida, Gurgaon)

First seen by Alion on Oct 14, 2026.

Overview
Company
Impact
Profile match
HiringBlaze is a recruitment firm in India that sources technology candidates for client companies and advertises their openings on job boards such as hirist. Its postings describe unnamed clients, among them a US enterprise software firm with a development centre in Noida, a supply chain and fintech SaaS company and a long-established medical devices maker in Agra, with roles in Gurgaon, Hyderabad, Bengaluru, Mumbai, Chennai and Pune. It recruits data engineers, database administrators, backend, Java and full stack developers, DevOps engineers, test automation engineers, data scientists, AI engineers and solution architects.

Location : Gurgaon / Noida

Experience : 0 - 2 years

Budget : 25 LPA

Employment Type : Full-time

Role Summary :

We are looking for an AI Engineer to build the intelligence and conversational layers of our core B2B enterprise platform. You will create trusted answers, automated alerts, recommendations, and workflows grounded in complex customer operational data by combining deterministic logic, statistical models, and modern LLMs deliberately.

What You Will Do :

- Own and evolve the product's agentic architecture and conversational interfaces (across web and WhatsApp).

- Design systems that turn raw operational data into trusted, explainable AI services and workflows.

- Partner with Data Scientists to make advanced domain-specific intelligence accessible and reliable.

- Establish rigorous practices for AI evaluation, observability, prompt engineering, and continuous improvement.

Requirements :

- Experience in applied AI/ML engineering, graph/data systems, or backend software engineering for AI products.

- Strong proficiency in Python with proven experience building APIs, data pipelines, and production microservices.

- Hands-on exposure to LLM application patterns : RAG, embeddings, tool/function calling, structured outputs, and agent frameworks (e.g., LangGraph).

- Strong engineering hygiene including modular code, automated testing, and documentation.

Skills

Machine Learning, Python, Generative AI, LLM, Prompt Engineering, LangChain, Conversational AI, Artificial Intelligence

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