Junior AI Engineer - Generative AI & Document Intelligence

Wyre Al
Wyre Al

Software Engineering, Data Science · Full-time

India

Posted on Oct 12, 2026

Job Description – AI Engineering / Generative AI

Location

India | Remote

Job Type

Full-Time

Level

Junior / Entry Level

Experience

0-2 Years | Strong academic, internship,

hackathon, or project experience considered

About Us

We are Wyre AI – B2B Startup focused on revolutionizing preconstruction workflows using AI. Our team is composed of visionaries, researchers, and engineers dedicated to pushing the boundaries of AI to develop transformative solutions. Founded by a repeat founder who had previously built Pype and exited successfully to Autodesk. We are committed to using technology and innovation to disrupt the status quo and create the future.

About the Role

We’re looking for a Junior AI Engineer to join our AI team and help build the intelligence layer behind Wyre AI’s preconstruction platform. You’ll work on real-world Generative AI and document intelligence problems involving construction drawings, specifications, scopes, and other project documents. This is a hands-on role for an early-career engineer with strong AI/ML fundamentals and meaningful project, internship, research, or hackathon experience. You’ll work closely with experienced engineers to experiment, build, evaluate, and improve AI capabilities as they move toward production.

Key Responsibilities

• Build and improve AI/ML pipelines for unstructured and semi-structured documents.

• Work with LLMs, embeddings, NLP, and retrieval-based systems to extract and structure information from documents.

• Develop and experiment with RAG (retrieval-augmented generation) and semantic search across document sets.

• Work with vector search frameworks and databases such as FAISS, Pinecone, or similar technologies.

• Prototype and evaluate approaches for information extraction, document understanding, entity identification, and data normalization.

• Experiment with prompting, embeddings, chunking, retrieval strategies, and techniques to improve LLM output quality.

• Support document-processing workflows involving PDFs, scanned documents, and free-text project information.

• Build Python-based APIs and services that support AI capabilities and product integrations.

• Test, evaluate, debug, and continuously improve AI models and pipelines.

• Collaborate with AI, engineering, and product teams to turn prototypes into reliable product capabilities.

• Learn and apply new AI models, frameworks, and techniques as the platform evolves.

Required Skills & Qualifications

• Strong foundation in Python, machine learning, and data structures & algorithms.

• Understanding of LLMs, NLP, embeddings, semantic search, and Generative AI concepts.

• Hands-on AI/ML experience through academic projects, internships, research, hackathons, or personal projects.

• Exposure to RAG, vector search, document processing, information extraction, or PDF-based AI workflows.

• Familiarity with frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FAISS, or similar tools.

• Understanding of APIs and backend development; experience with FastAPI or similar frameworks is a plus.

• Strong problem-solving skills and willingness to experiment, learn, and iterate quickly.

• Good written and verbal communication skills and ability to collaborate with cross-functional teams.

• Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field, or currently completing a relevant degree.

Strong Plus

• Hands-on experience building RAG or semantic-search applications.

• Experience working with PDF or document intelligence use cases.

• Exposure to OCR, multimodal AI, computer vision, or information extraction.

• Experience with LLM APIs such as OpenAI, Claude, or similar models.

• Experience with FastAPI, cloud services, Git, or deployment workflows.

• Strong performance in coding competitions, hackathons, research, or open-source projects.

Beyond Technical Skills – What We’re Looking For

We’re building more than just software. We’re building a team that thrives in a fast-paced, high- ownership environment.

Startup Readiness & Ownership

  • Bias for action: You move quickly, experiment, learn, and iterate.
  • Comfort with ambiguity: You’re willing to figure things out even when the path is not fully defined.
  • Ownership mindset: You take responsibility for the work you own and follow through.
  • Resourcefulness: You know how to research, ask the right questions, and find practical ways forward.

Business & Product Thinking

  • User-centric mindset: You are curious about the problem behind the technology and how your work helps users.
  • Technical and product curiosity: You want to understand how AI can solve real construction and preconstruction problems.
  • Learning mindset: You are willing to test different approaches and learn from what works and what doesn’t.

Collaboration & Communication

• Comfortable collaborating with AI, engineering, product, and leadership teams.

• Able to explain your approach and technical decisions clearly.

• Strong written and verbal communication skills.

• Open to feedback and continuous improvement.

Growth Potential

• Fast learner who enjoys exploring new models, frameworks, and AI techniques.

• Excited by the opportunity to work on AI systems early in your career.

• Interested in growing with a fast-scaling AI company and taking on greater ownership over time.

Why Join Wyre AI?

• Shape the future of construction technology through Generative AI and intelligent automation.

• Work on real-world LLM, RAG, document intelligence, and semantic-search problems.

• Build AI capabilities that become part of a growing production product.

• Learn alongside experienced AI, engineering, construction, and product leaders.

• Get meaningful hands-on exposure and ownership early in your career.

• Work closely with a fast-moving team where your contributions can have visible impact.

• Grow with a fast-scaling AI company while building strong AI engineering experience.

How to Apply

Excited to help build reliable, high-quality AI-powered construction technology?

Just fill out this quick form link to tell us about your experience and skills — it won’t take long!

• We’ll review your information and get in touch if it’s a good match.