AI Native Product Engineer

Incerro

Maharashtra

On-site

INR 1,000,000 - 2,000,000

Full time

14 days+

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Benefits offered by this job

Collaborative work culture
Flat hierarchy
Fun Fridays

Job summary

A fast-growing tech startup is seeking an AI Engineer who can design, train, and deploy generative AI models. Ideal candidates will have a strong background in machine learning and experience with LLMs. Responsibilities include creating conversational AI solutions and integrating models with backends. Join a dynamic team, collaborate across functions, and work on cutting-edge AI technologies. Enjoy a vibrant work culture with open communication and innovative projects.

Qualifications

  • Understanding of RAG pipelines and semantic search architectures.
  • Experience in data preprocessing and cleaning for model readiness.
  • Excellent communication skills in multi-disciplinary teams.

Responsibilities

  • Design, train, and deploy AI models for various tasks.
  • Work with LLMs to create conversational pipelines.
  • Integrate AI models with backend systems and APIs.
  • Conduct performance evaluations and A/B testing.

Skills

Machine learning understanding
Deep learning knowledge
NLP fundamentals
Strong Python skills
Experience with LangChain
Vector databases knowledge
Familiarity with LLM APIs
Analytical skills
Debugging skills
Collaboration in teams

Education

Bachelor’s degree in Computer Science, Engineering, AI or equivalent

Tools

PyTorch
TensorFlow
Hugging Face Transformers

Job description

Overview

We are looking for an AI Engineer with strong technical expertise in developing intelligent, data-driven and generative AI systems. The ideal candidate will thrive in a fast-paced startup environment, collaborating with cross-functional teams to design, build, and deploy AI-powered solutions using LLMs, embeddings, vector databases and modern AI frameworks.

Responsibilities
  • Design, train, and deploy AI models for tasks such as classification, summarization, retrieval and reasoning
  • Work with LLMs (e.g., OpenAI, Anthropic, Gemini, Bedrock) to create and optimize conversational and generative pipelines
  • Implement RAG (Retrieval-Augmented Generation) architectures using embeddings and vector databases (Pinecone, FAISS or similar)
  • Develop and fine-tune models using prompt engineering, fine-tuning, and model evaluation techniques
  • Integrate AI models with backend systems and APIs to enable intelligent, context-aware applications
  • Build data pipelines for preprocessing, tokenization and embedding generation
  • Collaborate with software, data and product teams to translate business goals into AI-driven solutions
  • Conduct performance evaluation, A/B testing and continuous improvement of deployed AI models
  • Research and experiment with multi-modal AI systems (text, image, voice) to enhance user experience
  • Stay updated with the latest trends in AI frameworks, LLM research and GenAI tools
Required Skills & Qualifications
  • Bachelor’s degree in Computer Science, Engineering, AI, or equivalent practical experience
  • Strong understanding of machine learning, deep learning and NLP fundamentals
  • Hands-on experience with Python, LangChain and vector databases
  • Familiarity with LLM APIs (OpenAI, Anthropic, Google Vertex or Bedrock)
  • Knowledge of RAG pipelines, embeddings and semantic search architectures
  • Experience using frameworks like PyTorch, TensorFlow or Hugging Face Transformers
  • Understanding of MCPs (Multi-Agent Collaboration Patterns) and context-aware AI systems
  • Strong analytical, debugging and optimization skills for AI workflows
  • Ability to work on data preprocessing, cleaning and transformation for model readiness
  • Excellent communication and collaboration skills in a startup-like, multi-disciplinary team environment
Preferred (Nice-to-Have)
  • Experience fine-tuning and deploying open-source LLMs (e.g., LLaMA, Mistral, Falcon)
  • Familiarity with AI orchestration tools like LangGraph, Dust or Semantic Kernel
  • Exposure to vector databases such as Pinecone, ChromaDB or Weaviate
  • Understanding of agentic workflows and AI tool integration (function calling, tool use, etc.)
  • Knowledge of cloud AI platforms (AWS Bedrock, Azure OpenAI, Vertex AI)
  • Experience with CI/CD for ML, prompt evaluation and experiment tracking
  • Understanding of data visualization, evaluation metrics and model interpretability
  • Experience with Agile/Scrum workflows and version control (Git)
About Us

We are a fast-growing startup currently building a brand new product at the intersection of design, data, and emerging technologies. Our vision is to create seamless digital experiences that are intuitive, visually compelling, and powered by user-driven insights.

As part of our founding product team, you will have the unique opportunity to shape the design language, user experience, and visual identity of a product from the ground up. This role is not just about executing design tasks—it is about influencing product direction, collaborating closely with leadership, and experimenting with cutting-edge technologies such as AI, AR/VR and voice interfaces.

If you are passionate about crafting data-driven, user-centered designs, and thrive in the fast-paced environment of building something new, this is the place where your creativity and impact will truly count.

What We Offer
  • We foster a collaborative, transparent, and open-minded work culture where every voice is heard
  • Enjoy a flat hierarchy with direct access to leadership and decision-making processes
  • Work on cutting-edge projects with emerging technologies, AI, and scalable solutions
  • Fun Fridays every week, where we take a break, play games, and unwind as a team
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