Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: AI Application Developer.
India Jobs Expertini

Urgent! AI Application Developer Job Opening In Bengaluru – Now Hiring Best Infosystems Ltd.

AI Application Developer



Job description

GEN AI Developer_Full-time_Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai


Job Title: GEN AI Developer

Experience Required: 4-6 Years

Location: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai

Employment Type: Full-time

Primary Skills: Gen Ai, Azure Open Ai, Python and which are mentions in cheat sheet


Job Description:

Developer-GenAI Application shall be focused on coding, developing, and implementing GenAI applications using fine-tuned LLMs (Large Language Models) and SLMs (Small Language Models).

This role emphasizes hands-on expertise in open-source frameworks, libraries, and cloud tools, with the ability to quickly prototype and demonstrate GenAI applications.

The developer shall work under the guidance of senior team members to deliver high-quality, scalable, and innovative solutions.


Key Responsibilities:

  • Coding and Development: Write clean, using Lang chain/Lang graph and Auto Gen frameworks efficiently, and maintainable code for GenAI applications using Python and open-source frameworks.
  • Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases.
  • Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, and others to build GenAI solutions.
  • Azure AI Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services.
  • Integration and Deployment: Integrate generative AI models into existing enterprise systems and applications.

    Implement robust MLOps practices, CI/CD pipelines (e.G., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment.

    Knowledge of AWS would be an added advantage.
  • Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models.
  • API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery.
  • Model Evaluation: Evaluate model performance using metrics and benchmarks and iterate to improve results.
  • Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback.
  • Front-End Development: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React.
  • Version Control: Use Git and other version control systems to manage code and collaborate with team members.
  • Technical Documentation: Create clear and concise documentation for code, models, and processes.
  • Collaboration: Work closely with data scientists, engineers, and product managers to deliver high-impact solutions.
  • Learning and Growth: Continuously learn and stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies.
  • Debugging and Optimization: Identify and fix bugs, optimize code, and improve application performance.


Required Skills:

  • Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications.
  • Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA.
  • Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries.
  • Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models.
  • Data Preprocessing: Skills in building and maintaining data preprocessing pipelines.
  • API Integration: Experience with REST, SOAP, and other protocols for API integration.
  • Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance.
  • Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration.
  • Version Control: Proficiency in Git and Version Control best practices.
  • Technical Documentation: Ability to create clear and concise technical documentation.
  • Problem-Solving: Strong analytical and problem-solving skills to debug and optimize code.
  • Collaboration: Excellent teamwork and communication skills to work effectively in cross-functional teams.
  • Rapid Prototyping: Ability to quickly prototype and demonstrate GenAI applications.
  • Continuous Learning: A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies.


Good to have:

  • Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your AI Application Potential: Insight & Career Growth Guide