Innopas
Website:
innopas.com
Job details:
About the Role
We are seeking a highly motivated AI Software Engineer / Technical Lead to design, develop, and deliver next-generation AI-powered web applications. The ideal candidate should have strong expertise in Python, Django, React.js, and modern Generative AI technologies, with a passion for building scalable, enterprise-grade applications.
You will work closely with product owners, AI architects, UI/UX designers, and business stakeholders to build intelligent AI solutions that solve real-world business problems.
Key Responsibilities
- Design, develop, and maintain scalable web applications using Python, Django, and React.js.
- Build secure, high-performance RESTful APIs using Django REST Framework (DRF).
- Develop responsive and intuitive user interfaces using React.js, JavaScript, HTML5, and CSS3.
- Integrate Large Language Models (LLMs) such as OpenAI, Claude, and Gemini into enterprise applications.
- Design and implement Prompt Engineering techniques to improve AI response quality.
- Build Retrieval-Augmented Generation (RAG) solutions using LangChain, LlamaIndex, and vector databases.
- Develop AI-powered copilots, chatbots, intelligent search, and document processing solutions.
- Design efficient database models using PostgreSQL or MySQL.
- Deploy, monitor, and optimize applications on AWS or Google Cloud Platform (GCP).
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
- Mentor junior developers, conduct code reviews, and promote engineering best practices.
- Stay current with advancements in AI, Generative AI, and modern software engineering.
Experience
· 5–10 Years
Required Technical Skills
Backend Development
- Python
- Django
- Django REST Framework (DRF)
- REST API Development
Frontend Development
- React.js
- JavaScript (ES6+)
- HTML5
- CSS3
Database
Generative AI
- OpenAI API
- Claude API
- Gemini API (Preferred)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- LangChain
- LlamaIndex
- AI Agent Development
- Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus, or similar)
Cloud & DevOps
- AWS or Google Cloud Platform (GCP)
- Docker
- Git
- CI/CD Pipelines
Preferred Qualifications
- Experience building production-grade AI applications.
- Hands-on experience developing AI copilots, chatbots, or intelligent assistants.
- Knowledge of AI orchestration frameworks and agent-based architectures.
- Familiarity with software architecture, design patterns, and scalable application development.
- Excellent analytical, communication, and leadership skills.
Education
- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
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