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Open nowPosted 350 days ago

AI Engineer - LLM / Agents (Delhi, In-Person)

careerflow140 open roles

Where
New Delhi, India
Work mode
On site
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Your applicationOpen nowAI Engineer - LLM / Agents (Delhi, In-Person)careerflow · New Delhi, India

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 350 days ago

The posting

(Please build your resume with Careerflow.ai's resume builder and specifically showcase why you're a fit for this role before applying. We receive a high quantity of applicants and this is your best bet at getting noticed)

Company Description

Careerflow.ai is an all-in-one career platform acting as your "Career Copilot". Our platform simplifies the job search process for professionals by either automating or augmenting parts of the process, such as AI-driven resume and profile improvements, job application tracking and management, among other things.

We are a US-based startup with a team based in Delhi, India. We have helped over 900,000+ individuals in optimizing their job search process, through a combination of a web application and Chrome browser extension.

Along with our product, we also provide high-quality expert-led career services.

Additionally, we work with universities, higher education, non-profits, bootcamps, career coaches, etc., to provide them a data-driven platform for the career success of their associated members.

Why Join Us

  • Be part of a cutting-edge AI company with an innovative team dedicated to transforming the recruitment and career development industry.
  • Work in a fast-paced, mission-driven startup
  • Contribute to a platform that’s revolutionizing job-seeking, hiring processes, and professional growth.
  • Collaborate with a global, diverse, creative, and forward-thinking team
  • Drive meaningful impact on the future of careers

Must have Skillset

LLM Engineering, Agentic AI Frameworks (LangChain/AutoGen/CrewAI), Python, OpenAI APIs (or similar), Prompt Engineering, Vector Databases, Google Cloud Platform, Git, AI Product Experience, Firebase, Node Js, Clickhouse

Role Description

This is a full-time hybrid role for an AI Engineer (LLM / Agents).

The AI Engineer will be responsible for designing, developing, and deploying intelligent AI agents and LLM-powered systems that automate and enhance our career optimization features including autonomous resume analysis, intelligent job matching, AI interview agents, etc.

We are looking for someone who is adept at building agentic AI systems and working with large language models, but also a great collaborator that can work with an asynchronous, remote team situated across the globe. Traditional Machine Learning experience is highly preferred.

Responsibilities

  • Lead and manage the development of autonomous AI agents that power our core features including intelligent resume optimization, ATS scanning agents, job matching systems, and AI-driven career coaching, AI Interview, etc.
  • Design and implement multi-agent systems using frameworks like LangChain, AutoGen, CrewAI, or LangGraph for complex workflow orchestration
  • Work closely with a team of 4+ engineers to integrate agentic AI capabilities across our web applications and Chrome browser extensions
  • Develop and maintain RAG (Retrieval-Augmented Generation) systems for contextual career guidance and personalized recommendations
  • Implement advanced prompt engineering strategies and fine-tuning techniques for domain-specific LLMs
  • Build and optimize vector databases for semantic search and knowledge retrieval systems
  • Design agent workflows that can autonomously handle multi-step career optimization tasks
  • Collaborate with the Product and Design team to translate AI agent capabilities into intuitive user experiences
  • Ensure scalability, reliability, and performance of AI agent systems in production environments
  • Implement human-in-the-loop systems and agentic evals for agent oversight and quality control
  • Drive integration of state-of-the-art LLMs (GPT-4, Claude, Gemini) and emerging AI technologies
  • Work with big data technologies such as ClickHouse, BigQuery, etc. for training data management and LangSmith (or similar) for logging and tracing.
  • Build traditional Machine Learning workflows, fine-tune models, etc. for non-LLM use cases.
  • Bonus: Work closely with the C-suite of the company as a tech lead

A Note on Location

You will be required to work from an office up to 3 days a week in Delhi, India, with general flexibility to work remotely from time to time. General expectations are that you would need to work 6 days a week on average, with US overlap.

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