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Python GEN AI Engineer
MphasisBangalore Urban, Karnataka, India11 days ago
Job descriptionBachelor’s or Master’s degree in Computer Science, AI / ML, Data Science, or related field 8+ years of experience in software engineering with 2–3 years working directly with AI / ML models or GenAI solutions Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings Experience in building and integrating GenAI services in real-time or batch applications Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines Familiarity with CI / CD pipelines, API development, and cloud-native architectures Excellent communication, collaboration, and stakeholder management skills
Primary Skillset :
Generative AI Services, Machine Learning, Python, Cloud (GCP preferred), MLOps, Prompt Engineering
About the Role :
We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms.
Key Responsibilities :
- Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation
- Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace) into existing or new platforms
- Build scalable backend services and data pipelines to support AI / ML workloads
- Explore and validate use cases across multiple business functions for GenAI application and automation opportunities
- Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline
- Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions
- Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management
- Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap
Qualifications :
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Gen Ai Engineer • Bangalore Urban, Karnataka, India