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Unlock Your Future with Nexaminds!
At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.
Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.
We are seeking a skilled AI Engineer with strong experience in Generative AI, Hyperscaler AI services, and Agentic AI systems. The ideal candidate will have hands-on expertise in building LLM-based use cases, backend AI integrations, and deploying scalable AI solutions on AWS and Azure platforms.
Key Responsibilities
- Design and develop GenAI and Agentic AI solutions using modern LLM frameworks.
- Build and implement real-world use cases leveraging LLMs such as Anthropic Claude, Google Gemini, AWS Nova, and Meta Llama.
- Develop backend tools and services to support AI-driven applications.
- Work with AWS Bedrock and SageMaker for model deployment, orchestration, and optimization.
- Utilize Azure AI Foundry services for AI solution development on Azure.
- Implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases and embeddings.
- Perform fine-tuning and optimization of foundation models.
- Manage token usage, prompt engineering, and context optimization for LLM applications.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
- Ensure scalability, performance, and security of AI systems in production environments.
Required Skills
- 2+ years of software/AI engineering experience with GenAI/LLM space.
- Strong hands-on experience with MCP, Agentic AI concepts, and LLM application development.
- Experience with AWS AI stack: Bedrock, SageMaker.
- Experience with Azure AI Foundry or equivalent Azure AI services.
- Practical exposure to LLMs: Anthropic Claude, Google Gemini, AWS Nova, Meta Llama.
- Solid understanding of Vector Databases, embeddings, token management, and RAG architectures.
- Experience in fine-tuning foundation models.
- Proficiency in Python and backend development.
- Familiarity with REST APIs, microservices, and cloud-native architectures.
- Good understanding of MLOps and CI/CD for AI workloads.
- Must possess an innovative mindset with a proactive problem-solving approach.
Preferred Qualifications
- Experience building production-grade GenAI applications.
- Knowledge of prompt engineering and evaluation frameworks.
- Exposure to multi-agent or autonomous AI systems.
- Experience with Kubernetes/Docker is a plus.
- Strong problem-solving and communication skills.
What you can expect from us
Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.
- Stock options 📈
- Remote work options 🏠
- Flexible working hours 🕜
- Benefits above the law
- But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
- You'll have access to mentorship and tons of opportunities to learn and level up.
Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!
