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Lead AI Engineer
Lead AI Engineer
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Lead AI Engineer

Ashraf Mohammed's profile picture
Posted by Ashraf Mohammed
5 - 7 yrs
₹20L - ₹22L / yr
Hyderabad
Skills
skill iconPython
Natural Language Processing (NLP)
Computer Vision
Generative AI
MLOps

Title – Lead Software Engineer 

Location – Hyderabad (Hybrid) 

Experience – 4-6 Years 


About Us 

At Oraczen, we're building the next generation of AI-powered agentic systems that help enterprises unlock real intelligence across their operations. As a deep-tech team, our focus is on developing production-ready, scalable, and secure AI applications that drive meaningful impact. 


Our philosophy is simple: 

Go deep on one thing, collaborate well on everything else, and ship work that matters. We value engineering discipline, creativity within constraints, and a shared sense of ownership. 


Role Overview:  

We’re looking for a Lead Software Engineer who brings deep expertise in one core technical area and can collaborate effectively across the rest. You’ll lead development in your domain, contribute to system-wide architecture, and ensure smooth, secure, and efficient AI-powered workflows. 


Key Responsibilities: 

  • Own and drive end-to-end feature development in your area of expertise—from design to deployment. 
  • Write high-quality, maintainable code with a strong focus on performance, security, and correctness. 
  • Test your code locally and in staging environments, with full ownership of debugging and validation. 
  • Use Git and ticket tracking tools (e.g., Linear) with rigor and consistency. 
  • Collaborate with teammates to plan, commit, and deliver against weekly sprint goals. 
  • Contribute to observability and logging for AI agents to improve reliability and traceability. 
  • Actively participate in code reviews and discussions, bringing clarity and pragmatism to technical decisions. 

 

Qualifications & Skills: 

Core Technical Expertise: 

We expect deep strength in at least one of the following areas: 

  • LLM integration and prompt engineering - Building intelligent workflows using techniques like prompt chaining, tool usage, and system prompting. 
  • LangGraph, LangChain, or other agent orchestration frameworks - Experience with building agent graphs and orchestrating LLM-based workflows. 
  • Vector databases & Retrieval-Augmented Generation (RAG) - Using tools like FAISS, Weaviate, or Pinecone for semantic search and RAG pipelines. 
  • Graph-based reasoning - using Neo4j, Küzu, or similar systems. 
  • Backend engineering for AI systems - Experience with frameworks and databases such as FastAPI, MongoDB, PostgreSQL, Redis. 
  • Semantic data pipelines, embeddings, and enrichment tooling - Bringing structured and unstructured data together to power AI workflows. 
  • Agent state management and observability instrumentation - Designing systems that are traceable, debuggable, and production-grade. 

Note: While we don’t expect mastery in all areas. But we do expect one strong pillar, and ability to collaborate Confidently across the rest. 

 

Engineering Discipline: 

  • Strong grasp of cloud-based development and Dockerized environments  
  • Experience with API-based systems and document-style interactions 
  • Habit of writing tests, verifying full flows, and shipping reliable software 
  • Familiarity with Git workflows, clean commit history, and disciplined version control 
  • Proven track record of working in fast-moving teams with high ownership 

Mindset & Collaboration: 

  • Passion for code clarity, performance, and doing the right thing—even when nobody’s watching 
  • Comfortable exploring adjacent systems, asking for help, and learning on the job 
  • Communicates proactively, contributes positively to team culture, and enjoys mentoring peers 


Belonging at Oraczen 

We’re building more than just innovative technology—we’re building a culture where people from all backgrounds feel welcomed, valued, and empowered to thrive. Our strength lies in the diversity of our perspectives and experiences, and we are committed to cultivating an inclusive environment where everyone can do their best work.  

We evaluate applicants based on talent and potential, not background or identity. We welcome candidates of all races, ethnicities, genders, orientations, abilities, and experiences. 

 

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About Oraczen

Founded :
2021
Type :
Product
Size :
20-100
Stage :
Profitable

About

N/A

Company social profiles

linkedin

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