Senior Software Engineer

We are seeking a Senior Software Engineer (SSE) with expertise in AI/ML and Fullstack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions.

Responsibilities

• Develop & Optimize Core AI/ML Features:

• Implement and optimize

  AI-powered automation modules, search systems, and data retrieval models

  .
• Develop

  LLM-driven applications

  using LangChain, RAG, and embedding-based techniques.
• Enhance workflow automation using

  Haystack, LangGraph, and Vector DBs

  .

• Fullstack Platform Development:

• Build

  scalable microservices and event-driven architectures

  .
• Develop high-performance

  backend systems

  in Python, Java, and Node.js.
• Work on

  AI-integrated dashboards and frontend applications

  using React.js, Angular and TypeScript.

• AI Model Deployment & DevOps:

• Deploy and monitor AI models on

  Kubernetes, OpenShift, and cloud platforms

  .
• Implement

  CI/CD pipelines, containerization, and scalable deployment strategies

  .

• Technical Collaboration & Best Practices:

• Work closely with

  Tech Leads and AI engineers

  to ensure efficient and scalable implementations.
• Follow best practices in

  software engineering, AI model deployment, and fullstack architecture

  .
• Contribute to innovation in

  AI-based workflow automation and platform scalability

  .

Qualification:

• Bachelors/Masters degree in Computer Science, AI, Machine Learning, or a related field.
• 5+ years of experience in AI/ML and fullstack development.
• Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models.
• Strong programming skills in Python, Java, Node.js, TypeScript.
• Experience in cloud-based AI solutions (AWS, GCP, Azure).
• Proficiency in microservices, REST/WebSockets, and real-time API development.
• Knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines.
• Hands-on experience in vector databases, RAG-based search, and AI-powered data retrieval.