Graduate in Software Engineering, Data Science, or related disciplines., Minimum 3 years of professional experience, with at least 2 years in traditional ML and 1 year in Generative AI., Strong foundation in Data Science and Generative AI concepts and technologies., Experience with Python, REST APIs, and frameworks like LangChain and Django..
Key responsabilities:
Use and fine-tune Generative AI models for real-world applications.
Lead the AI team and collaborate on implementing knowledge graphs and Agentic frameworks.
Identify and create datasets to build a domain-specific knowledge base.
Build and optimize scalable REST APIs and work on Prompt Engineering for advanced RAG systems.
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Bridge-it is an AI powered copilot for middle and high school students, assisting them in building post secondary plans that lead to a successful future. Bridge-it helps students understand what their future life will cost and guides them through the process of building a plan to achieve their dreams while helping to keep them on track with reminders and nudges along with a complete set of resources and supports.
SeniorAI Engineer - bridge-it.ai Are you passionate about Generative AI as well as classic Data Science and looking for an opportunity to work on a groundbreaking platform? Join Bridge-It, a groundbreaking AI startup aims to revolutionize the way k-12 students prepare for their careers. as an Lead/Senior AI /ML Engineer and be part of a mission to revolutionize career planning through cutting-edge AI technologies!
About The Role
As an Senior AI Engineer in Bridge-it's India team, you will have the chance to build and apply Generative AI and traditional ML technologies, contributing to the development of an innovative AI-driven SaaS platform. This position offers a unique opportunity to gain hands-on experience in cutting edge Generative AI technologies, sharpen your technical skills, and work on a project that aims to make a real-world impact. Minimum 3 years of professional (post education) fulltime experience with minimum 2 years of traditional ML experience and 1 year of Generative AI experience is must.
Key Responsibilities
Use and fine-tune Generative AI models for real-world applications.
Lead the AI team at bridge-it
Identify and create datasets to build a domain specific knowledge base
Work on Prompt Engineering and create advanced Retrieval-Augmented Generation (RAG) systems.
Build and optimize scalable REST APIs using Python.
Utilize frameworks like LangChain and Langraph for complex AI workflows.
Collaborate on implementing knowledge graphs and Agentic frameworks such as LangGraph.
Build AI APIs using Django or FastAPI.
What We're Looking For
Required Skills:
Bias for action, agile mindset, startup mentality
Ability to do iterative development and continuous delivery
Strong foundation in traditional Data Science and Generative AI concepts and technologies.
Knowledge in data crawling / scraping, cleaning and processing to build a dataset
Experience with Prompt Engineering, LangChain, and Python.
Knowledge of RAG (Retrieval-Augmented Generation) systems.
Hands-on experience building and consuming REST APIs.
Good foundation of Relational database concepts and SQL queries.
Strong software engineering and data analysis foundation
Ability to adapt and learn new technology
Nice to Have:
Experience with Agentic frameworks like LangGraph.
Experience in working with knowledge graphs and graph databases like neo4j.
Proficiency in Django or FastAPI for backend development.
Knowledge on search (ElasticSearch) and recommendation systems
Education Qualification:
Graduate in Software Engineering, Data Science, or related disciplines.
What You'll Gain
Work on an impactful project with real-world applications.
Learn and apply cutting-edge Generative AI and ML engineering techniques.
Collaborate with a dynamic team of innovators and mentors.
Enhance your profile with experience in emerging technologies.
About Bridge-it
Bridge-it is an AI-powered SaaS platform designed to revolutionize career planning for students. Our mission is to bridge the gap between education and employment, empowering students with personalized tools and insights to achieve their goals.
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Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.