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Artificial Intelligence (AI) Engineer

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Onsite

Artificial Intelligence (AI) Engineer

TransOrg

Artificial Intelligence (AI) Engineer

Skills

SQL QueriesNextReactTypescriptPythonData ScienceJenkinsData AnalysisMachine LearningAIGitHubFastAPI

2 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

12 August 2026

What they need


Job Description: AI Engineer

Work Location: Mumbai and Gurgaon

Why would you like to join us?

TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.ai to know more about us.

Job Objective

Seeking a hands-on backend engineer to design, build, deploy, and operate production-grade Python services, cloud data workflows, and LLM-enabled capabilities. The role requires end-to-end ownership, strong engineering judgment, and close collaboration with frontend, product, and business teams.

Core Responsibilities

  • Build and maintain scalable asynchronous Python APIs, scheduled jobs, and data-processing pipelines.
  • Design reliable cloud data workflows, data models, and optimized analytical queries.
  • Integrate LLM services with structured outputs, prompt versioning, evaluation, and cost/latency controls.
  • Implement secure authentication and authorization using JWT, role-based access control, and enterprise SSO.
  • Own containerized deployments, CI/CD pipelines, scheduling, observability, and production troubleshooting.
  • Define and evolve REST API contracts collaboratively with frontend engineers and stakeholders.
  • Apply secure-by-design practices, including secrets management, input validation, parameterized queries, and least-privilege access.

Experience

Required

  • Strong Python experience with FastAPI or a comparable async framework.
  • Track record of building and operating production APIs and backend services.
  • Hands-on cloud experience with data warehouses, document databases, and serverless/container platforms.
  • Production integration of LLM APIs, including structured output handling and performance tradeoffs.
  • Understanding of JWT, RBAC, SSO, and practical application security.
  • Ability to own API design, data logic, deployment, and basic incident resolution.

Preferred

  • Experience with LangChain or similar LLM orchestration tools.
  • CI/CD experience using Cloud Build, Jenkins, GitHub Actions, or equivalent.
  • Experience partnering with React, Next.js, or TypeScript frontend teams.
  • Background in analytics, reporting, data warehousing, or BI-adjacent systems.
  • Exposure to NL-to-SQL, LLM evaluation, or automated insight-classification patterns.
  • Experience supporting formal security reviews such as SAST/DAST.

Engineering Expectations

  • Operate with a strong ownership mindset and communicate clearly across technical and non-technical teams.
  • Deliver incrementally with appropriate testing, monitoring, rollback planning, and production safeguards.
  • Balance speed, reliability, maintainability, security, and cost when making technical decisions.
  • Work effectively in a full-time, remote-friendly environment with minimal supervision.

Required Qualifications & Work Experience

  • 3-5 years overall experience in AI/ML or related fields.
  • 3+ years hands-on experience in RAG and agentic AI solutions.
  • B.E./B.Tech In Computer Science, Data Science, or related field.
  • Generative AI certifications are an advantage.

Other:

  • Excellent problem-solving skills and attention to detail.
  • Strong written and verbal communication skills in English.
  • Ability to work collaboratively in cross-functional teams.
  • Passion for building reliable backend systems that bring AI models into real-world impact.

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