... Semantic Kernel, or similar frameworks.- Strong understanding of embeddings, vector search, semantic search, and vector databases.- Experience integrating LLM APIs and enterprise data sources.- Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent AI platforms.- Knowledge of FastAPI/Flask, REST APIs, ...
... experimentation, evaluation, and optimization strategies to improve model performance and business outcomes. • Integrating Generative AI models with enterprise applications, APIs, databases, and external data sources. • Fine-tuning, adapting, and evaluating foundation models including GPT, LLaMA, multimodal models, and Small Language ...
7090 LPA (Base) + ESOPs + Performance Variable(Compensation aligned with experience and technical depth)About the Role : We are building next-generation AI inference processors optimized for ultra-low latency, high-throughput workloads.
... and other GenAI frameworks.- Perform data preparation, model training, evaluation, and optimization.- Integrate AI models into enterprise applications through APIs and production-ready services.- Monitor, troubleshoot, and improve model performance and scalability.- Collaborate with data scientists, engineers, and business ...
... of experience in software development using JAVA, Spring, Spring Boot, Data Structure, Microservices, ORM Tools in Java and Cloud technologies. Experience of APIs design using either OpenAPI/Swagger/RAML,API implementation, and integration AND Multi-Threaded Environments, Windows/Linux/Unix Programming. Experience in feature ...
... and want to help shape how the world connects to technology—we'd love for you to join us. Collaborate with cross-functional teams (Architects, QA, Product, Documentation, and UX teams) to ideate, design and implement features that drive the core authentication experience for users in the Workforce and Customer identity landscape ...
... and raise the engineering bar across the team. You'll work closely with product, security, and AI engineering teams to ensure the platform keeps pace with a rapidly evolving product. Platform Engineering - Own platform features end-to-end - from architecture and implementation through deployment, monitoring, and iteration ...
... Development Frontend: React, Angular, Vue, or any modern JavaScript framework. Backend: https://jobeax.com/link/JSd7UYCSg572jJDY, Java Spring Boot, Python FastAPI, or Django. Strong understanding of RESTful APIs and microservices design. Cloud & DevOps Hands-on exposure to Azure, AWS, or GCP. Understanding of containers ...
... technical leadership and end-to-end development of customer scenarios. Maintain high quality standards across all areas - including code, testing, design and documentation. Proactively identify scope for improvements in the ecosystem, work with the team and stakeholders for prioritization and drive them to completion, leveraging ...
... data analytics. Implement multi-modal AI solutions combining text, vision, and tabular data. Architect Azure-based AI services using Kubernetes (AKS), serverless APIs, and MLOps best practices. Lead AI experiments in Vision AI (OCR, layout analysis, document intelligence). Mentor junior AI developers and participate in technical ...
... and AI guardrails using Vertex AI Model Garden or Azure AI Studio.- Drive optimisation of AI workflows for latency, token cost, and output quality.3. Platform & API Development : - Develop and own reusable AI microservices, agent frameworks, and standardised APIs.- Contribute to core AI platform capabilities including model ...
... excellence with EcoVadis Bronze Medal As part of the Desktop Engineering Team @Whatfix, you'll have the opportunity to work on complex algorithms, automation APIs, system level APIs, performance engineering and difficult optimization problems. Programming language is not a barrier for the engineers in our team, we work ...
... SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.Other:- Ability to travel 10%, on average, based on the work you do and products you build.- Limited immigration sponsorship may be available. (ref:hirist.tech)
... execution.- Own the complete AI solution lifecycle : data pipeline, RAG/agent development, evaluation, deployment, monitoring, and optimization.- Build scalable APIs and backend services using Python and FastAPI.- Deploy AI applications in cloud or on-premise environments with a focus on scalability, reliability, security, ...
... applications leveraging prompt engineering, AI agents, and multi-agent workflows.- Fine-tune, evaluate, and monitor machine learning and deep learning models.- Build REST APIs and backend services for AI applications.- Design data preprocessing, feature engineering, and model evaluation pipelines.- Integrate structured and unstructured ...
Audit Evidence Python Where the AI Trust & Compliance Engineer sets the strategy — which regulations map to which checks, what a passing threshold means — you build and run the evaluation suites that prove it, day in and day out, across a growing roster of Gemini-based agents.
... the 'one estate' narrative is the core sell, and the architect has to embody it, not just recite it. Familiarity with the regulatory and standards backdrop shaping AI assurance conversations: EU AI Act, NIST AI RMF and ISO/IEC 42001. Approximately 17–21 years of overall technology experience, including a substantial, hands-on ...