Technical Architect

About the Company

Neurealm is a next-gen tech powerhouse born from the merger of GS Lab | GAVS, backed by Kedaara Capital. With a strong focus on AI, data, cybersecurity, and platform engineering, we help 250+ global enterprises across industries modernize and operate smarter. We are the right-sized partner for Engineering, Modernization, and RunOps, blending human intelligence with the latest technologies to help businesses across industries such as Healthcare and Technology make smart progress. Our team members, whom we call "Neuronauts,” thrive in an environment driven by innovation, trust, and continuous learning. We encourage everyone to challenge boundaries and explore the edge of what’s possible.

Required Skills:

10+ years of experience in software/data architecture with 3+ years in AI/ML, including hands-on work with generative AI solutions.

Proven experience designing and deploying AI workflows using:

• AWS: Amazon Bedrock, SageMaker, Lambda, DynamoDB, OpenSearch.
• Azure: Azure OpenAI, Azure ML, Azure Cognitive Services, Cognitive Search.
• Expertise in RAG pipeline architecture, prompt engineering, and vector database design.
• Familiarity with tools and frameworks for AI agent orchestration (e.g., LangChain, Semantic Kernel, AWS Agent Framework).
• Strong understanding of cloud security, identity management (IAM, RBAC), and compliance in enterprise environments.
• Proficiency in Python and hands-on experience with modern ML libraries and APIs used in AWS and Azure.
• Experience working with LLMOps tools in cloud environments (e.g., model monitoring, logging, performance tracking).
• Understanding of fine-tuning strategies, model evaluation, and safety/risk management of GenAI models.
• Familiarity with serverless architecture, containerization (ECS, AKS), and CI/CD practices in AWS/Azure.
• Ability to translate business problems into scalable AI solutions with measurable outcomes.

Preferred Skills

Experience working with LLMOps tools in cloud environments (e.g., model monitoring, logging, performance tracking).