AI-Native Engineer

Company: Onelab Ventures

Location: Hinjewadi Phase 1, Pune (Hybrid)

Experience: 1–5 Years

About Us

Onelab Ventures is a fast-growing, product-driven company building AI-first solutions across industries. We leverage Generative AI, LLMs, and automation to create scalable, high-impact products. Our culture is centered around innovation, ownership, and fast execution.

Role Overview

We are seeking an AI-Native Engineer to design and develop AI-first applications where Artificial Intelligence forms the foundational element, rather than an add-on feature. You will contribute to LLM-powered systems, AI agents, and intelligent workflows, collaborating closely with product and engineering teams to deliver scalable AI solutions.

Key Responsibilities

AI Application Development

• Build and deploy AI-native applications utilizing LLMs and GenAI tools.
• Develop features such as chatbots, copilots, and AI assistants.
• Integrate AI capabilities into production systems.

LLM Integration & Prompt Engineering

• Engage with APIs from providers like OpenAI, Anthropic, and Hugging Face.
• Design and optimize prompts, system instructions, and conversational workflows.
• Implement function calling and tool usage mechanisms.

RAG & Data Pipelines

• Construct Retrieval-Augmented Generation (RAG) systems.
• Work with embeddings and vector databases for efficient data retrieval.
• Manage data ingestion, chunking, and semantic search processes.

Backend & System Design

• Develop scalable backend systems using Python or Node.js.
• Build APIs and microservices to support AI applications.
• Ensure the performance, scalability, and reliability of AI systems.

AI Agents & Automation

• Develop sophisticated AI agents and multi-step automated workflows.
• Utilize frameworks such as LangChain, LlamaIndex, AutoGen, and CrewAI.
• Automate complex operational tasks through AI integration.

Evaluation & Optimization

• Evaluate AI model outputs to enhance accuracy and reduce errors.
• Minimize hallucinations and optimize prompt effectiveness.
• Optimize system latency and token costs for efficiency.

Required Skills & Qualifications

Core Technical Skills

• Strong proficiency in Python is mandatory.
• Experience with API development and backend systems.
• Solid understanding of data structures and system design principles.

AI / GenAI Skills (Must-Have)

• Hands-on experience with:
• Large Language Models (LLMs) such as GPT and Claude.
• Prompt Engineering techniques.
• Building and deploying RAG pipelines.
• Understanding of:
• Embeddings and their applications.
• Semantic search methodologies.
• Fundamental Natural Language Processing (NLP) concepts.

Tools & Frameworks

• Experience with:
• Orchestration frameworks like LangChain or LlamaIndex.
• Vector Databases including Pinecone, FAISS, Weaviate, or Chroma.
• Familiarity with the Hugging Face ecosystem.

Cloud & Deployment

• Experience with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of Docker and CI/CD pipelines for deployment.

Preferred Qualifications

• Experience in developing AI SaaS products.
• Exposure to AI agents and autonomous system development.
• Previous experience in a startup or fast-paced environment.
• Basic frontend development knowledge (e.g., React) is a plus.

What We're Looking For

• A strong problem-solving mindset and analytical approach.
• Ability to thrive in fast-paced execution cycles.
• High degree of ownership and accountability in all tasks.
• A genuine passion for building cutting-edge AI-first products.

Why Join Onelab Ventures

• Opportunity to work on state-of-the-art AI-native systems.
• High level of ownership and the chance to make a real product impact.
• A dynamic environment conducive to rapid learning and professional growth.
• The chance to be instrumental in building next-generation AI products.