Gen AI Developer Azure Jobs in Bangalore 2025 | 10–16 Years Experience | Python & Generative AI Careers
Gen AI Developer (Azure) Careers in Bangalore – Advance Your AI Journey with Generative AI and Azure Expertise
Introduction
Artificial Intelligence (AI) is rapidly redefining the future of technology, and at the heart of this transformation lies Generative AI. Organizations worldwide are seeking experts who can design, implement, and optimize AI solutions that not only solve business challenges but also create new possibilities. One such exciting opportunity is the Gen AI Developer Azure role, open to professionals with 10–16 years of experience and based in Bangalore, with flexibility for other key IT hubs including Chennai, Pune, and Hyderabad.
This role blends advanced Generative AI knowledge, Python programming, and Azure cloud expertise—a rare combination that positions successful candidates at the forefront of enterprise innovation. If you have deep experience in AI development and are passionate about building scalable, future-ready solutions, this position could be the perfect next step in your career.
About the Role
The Gen AI Developer (Azure) will be responsible for designing and deploying enterprise-grade Generative AI solutions that leverage Azure’s ecosystem, including Azure OpenAI Service, Cognitive Services, and Machine Learning Studio.
The position requires not just technical mastery of Python and AI frameworks, but also the ability to conceptualize and implement AI-driven business solutions. From prompt engineering and fine-tuning models to integrating retrieval-augmented generation (RAG) pipelines and experimenting with agentic AI approaches, this role is central to advancing the organization’s AI-driven digital transformation initiatives.
Key Responsibilities
As a Gen AI Developer Azure, you will:
1. AI Solution Development
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Design, build, and optimize Generative AI models using Azure OpenAI Service.
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Apply advanced prompt engineering techniques to improve model efficiency and accuracy.
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Apply fine-tuning techniques and customize pre-trained large language models (LLMs) to meet specific enterprise requirements
2. Architecture & Integration
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Design and implement Retrieval-Augmented Generation (RAG) frameworks to improve AI outputs by leveraging enterprise data sources.
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Integrate AI solutions seamlessly with existing applications and cloud infrastructure.
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Experiment with LangChain frameworks to build AI-powered conversational and decision-making applications.
3. Emerging AI Practices
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Explore and implement Agentic AI concepts to create intelligent systems capable of autonomous reasoning and decision-making.
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Stay updated on cutting-edge AI research and frameworks, applying best practices to enterprise solutions.
4. Azure Cloud Expertise
- Leverage Azure Machine Learning Studio to design, train, and deploy scalable ML and AI models.
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Integrate Azure Cognitive Services to enhance AI applications with speech, vision, and natural language capabilities.
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Ensure scalable and secure deployment of AI solutions across cloud environments.
5. Collaboration & Strategy
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Partner with business stakeholders to translate requirements into AI-powered applications.
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Offer technical guidance and mentorship to junior developers and data scientists, fostering skill development and project excellence.
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Contribute to the development of AI governance and ethical practices in line with organizational policies.
Desired Skills and Expertise
The role demands a rare mix of technical depth, creativity, and cloud expertise. The ideal candidate will bring:
Core Technical Skills
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Python Programming: Expert-level coding ability with hands-on experience in data processing, ML model training, and deployment.
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Generative AI Expertise: Knowledge in prompt engineering, fine-tuning, and LLM optimization.
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RAG Architecture: Experience in building and optimizing retrieval-augmented pipelines.
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LangChain Proficiency: Ability to leverage LangChain for building context-aware AI applications.
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Agentic AI Knowledge: Familiarity with building autonomous AI agents capable of reasoning and interacting with systems.
Azure Cloud Proficiency
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Extensive practical expertise in deploying Generative AI solutions using Azure OpenAI Service.
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Practical exposure to Azure Cognitive Services for NLP, speech, and computer vision capabilities.
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Proficiency in Azure ML Studio for conducting model training, experimentation, and end-to-end deployment.
Professional Qualities
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10–16 years of overall IT experience, with a strong focus on AI and cloud development.
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Ability to communicate complex AI concepts effectively to both technical and business stakeholders.
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Strong problem-solving mindset, capable of designing innovative solutions to real-world challenges.
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Demonstrated leadership in mentoring teams, driving innovation, and setting AI best practices.
Educational Background
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A Bachelor of Technology (B.Tech) or equivalent degree in Computer Science, Artificial Intelligence, or related fields.
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Advanced certifications in Azure, AI, or Machine Learning will be an added advantage.
Why This Role Matters
The demand for Generative AI specialists is surging globally as organizations seek to harness the potential of AI to automate processes, drive insights, and create personalized customer experiences.
By joining as a Gen AI Developer Azure, you will:
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Lead next-generation AI projects that drive enterprise transformation.
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Work with cutting-edge AI technologies such as Azure OpenAI and LangChain.
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Contribute to shaping the future of agentic AI applications.
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Be a part of an innovation-driven team working across multiple industries and use cases.
Career Growth Opportunities
This role offers a stepping stone into senior AI leadership positions. Potential career trajectories include:
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AI Architect – designing enterprise-wide AI ecosystems.
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Principal Data Scientist – leading advanced AI/ML research and experimentation.
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AI Practice Lead – driving AI adoption across business units.
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Chief AI Officer (CAIO) – shaping organizational AI strategy.
With AI becoming a boardroom priority, professionals in this space will find themselves in high demand for years to come.
What Makes This Opportunity Unique
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Generative AI Focus – Unlike conventional AI roles, this position emphasizes Generative AI, RAG pipelines, and agentic systems, making it highly future-proof.
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Azure Ecosystem Integration – Leveraging Azure OpenAI Service and Cognitive Services places you at the center of enterprise cloud-AI convergence.
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Hands-On Innovation – You will directly work on fine-tuning models, creating autonomous agents, and deploying enterprise-ready AI solutions.
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Global Exposure – With opportunities spanning across Bangalore, Chennai, Pune, and Hyderabad, this role gives exposure to global projects and diverse industries.
Industry Relevance
Generative AI is not just a buzzword—it’s being deployed across industries:
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Healthcare – for clinical decision support and automated diagnostics.
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Finance – for fraud detection, risk modeling, and personalized advisory.
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Retail – enabling smarter customer interactions and accurate demand prediction.
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Manufacturing – for predictive maintenance and supply chain optimization.
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Education – for adaptive learning platforms and content generation.
As a Gen AI Developer Azure, you will directly contribute to these innovations.
Work Location
The primary job location is Bangalore, India’s technology hub. However, opportunities are also open in Chennai, Pune, and Hyderabad, ensuring flexibility for candidates from different IT hubs.
Conclusion
The Gen AI Developer Azure role is an exceptional opportunity for senior professionals looking to deepen their expertise in Generative AI, Azure cloud, and next-generation AI applications. With 10–16 years of experience, candidates stepping into this position will not only contribute to pioneering AI projects but also accelerate their own career growth in one of the most in-demand technology domains.
If you’re passionate about Python, Generative AI, and Azure cloud technologies, this role offers the perfect platform to shape the future of enterprise AI.