(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 UsBe 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.
