Highlights
Opportunity to work on cutting-edge projects, exposure to product delivery and research challenges, mentorship from experts.
Description
Job Summary
pWe are seeking a dynamic AI Engineer to join our team. As an integral part of the AI and product teams, you will work on designing and optimizing intelligent solutions that integrate language models with structured/unstructured knowledge sources using RAG approaches.
Responsibilities
- Design and build AI applications based on RAG architectures
- Fine-tune and integrate LLMs with external data sources
- Build and optimize pipelines for document ingestion, chunking, vector embedding, and retrieval
- Implement and experiment with tools such as LangChain, Haystack, Weaviate, Pinecone, Chroma, FAISS
- Develop and maintain RESTful APIs and web applications using Python frameworks like Flask or FastAPI
- Collaborate with frontend/backend teams to integrate AI into live products
Required Skills
- RAG-based architectures
- Python programming
- Data manipulation and API development
- RESTful API development using Flask or FastAPI
- Version control (Git)
Required Skills Explained
- Hands-on experience or strong academic exposure in RAG (Retrieval-Augmented Generation) approaches.
- Proficiency in Python for data manipulation and API development.
- Experience in building or contributing to AI products using RAG architecture.
- Knowledge of RESTful API development using Flask or FastAPI.
- Solid knowledge of SQL, data analytics, and Power BI.
- Hands-on experience with version control (Git) and deployment tools.
- Exposure to cloud platforms such as AWS is a strong plus.
Who is this for
pThis role is ideal for AI enthusiasts, recent graduates looking to gain practical experience, and experienced engineers with a strong foundation in RAG approaches.
Why This Job is a Good Opportunity
ulliTo work on cutting-edge AI projects that impact real-world users.liOpportunity to collaborate with experienced AI Engineers and Product Leads for mentorship.liA flat team structure encourages creativity and innovation, fostering a learning-oriented environment.liThe chance to tackle both product delivery and research-level challenges.
Interview Preparation Tips
- Review RAG approaches and their applications in AI systems.
- PRACTICE building RESTful APIs using Python frameworks like Flask or FastAPI.
- Get familiar with tools such as LangChain, Haystack, Weaviate, Pinecone, Chroma, FAISS for document ingestion and retrieval.
- Prepare examples of how you have fine-tuned LLMs in previous projects.
- Demonstrate your problem-solving skills by discussing past challenges and solutions.
Career Growth in This Role
pThis role offers a strong foundation in AI engineering, especially with RAG approaches. As you gain experience, you can transition into more advanced roles within the company or pursue opportunities in larger tech firms. The exposure to real-world projects will enhance your portfolio and make you highly marketable for senior positions in AI development.pWith continued success, you might also consider specializing further in specific areas of AI, such as NLP or machine learning, which can lead to specialized roles within the industry.
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Skills
Frequently Asked Questions
What experience is required for this position?We are open to candidates with varying levels of experience. Freshers looking to gain practical experience are welcome, as well as experienced engineers.
Is remote work an option for this role?This is a full-time office-based role located in New Delhi. However, some flexibility may be available based on the candidate's location and project requirements.
What kind of mentorship can I expect as part of the team?You will receive mentorship from experienced AI Engineers and Product Leads who are dedicated to guiding you through your projects and providing feedback.
