Gen AI application developer 
Pune, India

About Us
Coditation was founded by a serial entrepreneur, and a team of young talented technologists with a vision of delivering high-quality, scalable, and best-in-class products at the bleeding edge of technology . We specialize in Machine Learning & AI, Data Engineering, Cloud, and Enterprise Mobility. We have built a team of ninja architects, data scientists, data engineers, and software engineers having decades of collective experience of applying emerging technologies to build cutting edge software products, and are constantly looking to add high-quality and passionate engineers. 

What we are looking for
We are looking for a smart, versatile engineer who can seamlessly blend application development with applied AI capabilities. You will be responsible for building end-to-end web applications and integrating AI-driven features that deliver real business value. This is a high-impact role where you’ll work on cutting-edge tech, adopt AI-native workflows, and move fast without compromising on quality.

Why join us?
-Build, ship, and maintain end-to-end agentic applications using React/Next.js/Streamlit and Node.js/Python (ExpressJS, FastAPI)
-Work on agent development in the cloud and maintain pipelines to ensure seamless delivery.
-Translate problem statements into working AI-powered features.
-Work with LLM APIs, retrieval-augmented generation (RAG), embeddings, and basic fine-tuning.
-Implement evaluation metrics and guardrails to ensure AI output quality and safety.
-Leverage tools like Cursor (or similar) to enhance productivity.
-Use code generation and inline testing to iterate quickly without sacrificing quality.
-Optimize for latency, cost efficiency, and data security.
-Write clean, maintainable, and well-instrumented code.

What you will need
-3–5 years of experience in application development.
-Strong proficiency in GenAI frameworks like LangChain, LangGraph or similar, React/Next.js/Streamlit, Node.js and/or Python and frameworks like ExpressJS or FastAPI
-Experience integrating AI models (OpenAI, Anthropic, Claude, etc.).
-Familiarity with retrieval techniques, embeddings, and fine-tuning workflows.
-Hands-on experience with cloud environments (AWS/GCP/Azure) and CI/CD pipelines.
-Strong debugging, testing, and instrumentation skills.
-Understanding of security best practices and performance optimization.