7 - 12 years
20 - 35 Lacs
Posted:6 hours ago|
Platform:
Hybrid
Full Time
Greetings from Getronics!
We are looking for a AI/ML Engineer.
We are seeking a solution-oriented engineer who can identify where AI/LLM capabilities can transform business operations and architect practical integrations within enterprise software systems.
This is not a traditional ML engineering or data science role focused on model training and deployment infrastructure.
Identify opportunities where AI/LLM integration can solve business problems and add value • Evaluate emerging AI technologies (GPT, Claude, open-source LLMs, agent frameworks) for enterprise applicability •
Assess and recommend appropriate AI tools and frameworks based on use case requirements and technical constraints •
Design solution architectures that integrate AI capabilities into existing software products •
Build business cases and technical proposals for AI initiatives •
Stay current with AI/LLM developments and translate them into actionable solutions Hands-On Development & Integration •
Build production-ready integrations between enterprise applications and AI/LLM services •
Develop RESTful APIs, microservices, and middleware for AI feature delivery •
Implement prompt engineering strategies, RAG systems, and AI agent workflows •
Create proof-of-concepts to validate AI use cases efficiently •
Write clean, maintainable, testable code that follows enterprise standards •
Work with vector databases, embeddings, and semantic search implementations
Experience Profile • 5+ years of enterprise software development experience •
2+ years actively working with AI/LLM integration in software applications •
Proven track record of identifying opportunities and delivering solutions (not just executing requirements) •
Experience building and consuming RESTful APIs, microservices architectures •
Strong understanding of cloud platforms (AWS/GCP/Azure) •
Hands-on coding experience in Java and Python AI/LLM Knowledge • Practical experience integrating LLMs (GPT, Claude, Gemini, or open-source models) into applications •
Understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought) •
Familiarity with RAG (Retrieval Augmented Generation) patterns and vector search •
Experience with at least one AI framework or SDK (LangChain, LlamaIndex, OpenAI SDK, etc.) •
Knowledge of AI agent patterns and agentic workflows Technical Foundation •
Strong object-oriented programming and design patterns • Experience with enterprise frameworks (Spring Boot, similar) • Database experience (SQL, NoSQL, Vector databases) • API design and integration patterns • Git, CI/CD, and modern development workflows • Cloud-native development experience Soft Skills • Solution-focused mindset - you see possibilities, not just problems • Strong communication skills to bridge technical and business stakeholders • Comfortable with ambiguity and rapid technology evolution
Getronics
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