3 Llm Api Jobs

One of the Healthcare AI Product Start up based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products, let us connect and discuss. Position: AI Architect Experience: 5+ yrs Qualification: B.Tech / B.E from Tier 1 Academic Institutions Job Type: Permanent & Hybrid Model Job Location: Hyderabad Position Overview We are seeking an experienced AI Architect to lead the design, development, and deployment of large-scale AI solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices. Key Responsibilities: AI Solution Design & Implementation: • Architect end-to-end AI systems leveraging large language models and generative AI technologies • Design scalable, production-ready AI applications that meet business objectives and performance requirements • Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.) • Establish best practices for prompt engineering, model selection, and AI system optimization Model Development & Fine-tuning: • Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases • Implement custom training pipelines and evaluation frameworks • Optimize model performance, latency, and cost for production environments • Stay current with latest model architectures and fine-tuning techniques Infrastructure & Deployment: • Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes) • Build robust, scalable APIs using FastAPI and similar frameworks • Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment • Ensure high availability, security, and performance of AI systems in production Business & Technical Leadership: • Collaborate with stakeholders to understand business problems and translate them into technical requirements • Provide technical guidance and mentorship to development teams • Conduct feasibility assessments and technical due diligence for AI initiatives • Create technical documentation, architectural diagrams, and implementation roadmaps Required Qualifications: Experience • 5+ years of experience in machine learning engineering or data science • 1+ years of hands-on experience building, deploying, and managing generative AI models in production • Proven track record of delivering large-scale ML solutions Technical Skills: • Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.) • Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.) • Strong proficiency in FastAPI, Docker, and Kubernetes • Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) • Proficiency in Python and modern software development practices • Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services Core Competencies: • Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques • Experience with MLOps tools and practices (model versioning, monitoring, CI/CD) • Ability to translate complex business requirements into technical solutions • Strong problem-solving skills and architectural thinking Preferred Qualifications: • Experience with vector databases and retrieval-augmented generation (RAG) systems • Knowledge of distributed training and model parallelization techniques • Experience with model quantization and optimization for edge deployment • Familiarity with AI safety, alignment, and responsible AI practices • Experience in specific domains (finance, healthcare, legal, etc.) • Advanced degree in Computer Science, AI/ML, or related field Please Note: We are looking out for candidates with shorter notice period.

One of the Healthcare AI Product Start ups based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products in a start up environment, let us connect and discuss. Title: AI Engineer Experience: 3 to 5 yrs Qualification: B.Tech / M.Tech Job Location: Hyderabad Job Type & Model: Permanent & Hybrid Position Overview: We are looking for a skilled AI Engineer to develop, implement, and optimize AI solutions using cutting-edge generative AI technologies. This role focuses on hands-on development of AI applications, model integration, and production deployment while working closely with our AI architecture team. Key Responsibilities: AI Application Development: Build and maintain AI-powered applications using LLM APIs (OpenAI, Claude, Gemini, etc.) Implement prompt engineering strategies and optimize model interactions for performance and cost Develop custom AI workflows including retrieval-augmented generation (RAG) systems Create robust error handling, fallback mechanisms, and response validation systems Model Implementation & Fine-tuning: Fine-tune open-source models (Llama, Mistral, etc.) for specific use cases and domains Implement training pipelines using modern frameworks (PyTorch, Hugging Face Transformers) Conduct model evaluation, A/B testing, and performance optimization Manage model versioning and experiment tracking Production Deployment & Operations: Deploy AI models and applications using FastAPI, Docker, and Kubernetes Build scalable microservices architecture for AI applications Implement monitoring, logging, and alerting for production AI systems Optimize inference performance, latency, and resource utilization Integration & Data Engineering: Integrate AI capabilities into existing systems and workflows Build data pipelines for model training and inference Work with vector databases and embedding systems Implement caching strategies and data preprocessing pipelines Experience: 3+ years of experience in machine learning or software engineering 1+ years of hands-on experience with generative AI and LLM integration Demonstrated experience deploying ML models in production environments Technical Skills: Proficiency with LLM APIs and SDKs (OpenAI, Anthropic, Google, etc.) Experience fine-tuning transformer models using Hugging Face, PyTorch, or similar Strong proficiency in Python and modern software development practices Hands-on experience with FastAPI, Docker, and containerization Experience with Kubernetes for container orchestration Knowledge of RESTful API design and microservices architecture Core Competencies: Understanding of transformer architectures, embeddings, and attention mechanisms Experience with prompt engineering and model optimization techniques Familiarity with MLOps practices and tools (model versioning, monitoring, CI/CD) Strong debugging and troubleshooting skills Ability to work with large-scale data and distributed systems

........... . Job Position - Solution Architect (AI & Product Engineering) Experience Required - 7-10 years Job Type - Full time Location - Hyderabad, India Overview We are seeking a visionary leader with extensive experience in AI-based product innovation and development to drive the integration of advanced AI, Generative AI, and Multimodal AI systems into innovative solutions. This role requires a deep understanding of AI ecosystems to build strategic partnerships and onboard top talent while also possessing expertise in patent filing to protect intellectual property. Role and Responsibilities AI AI/ML Solution Architecture & Design Design comprehensive AI solution architectures that are scalable, maintainable, and aligned with business objectives Create detailed architectural diagrams, technical specifications, and solution blueprints Evaluate and recommend AI frameworks, models, and tools (e.g., TensorFlow, PyTorch, LangChain (AutoML). Define data strategies for AI model training, including data pipelines, storage, governance, and feature engineering . Optimize data processing workflows for real-time and batch AI applications. Cloud & Infrastructure Architect and deploy AI solutions on GCP, AWS, Azure, or OCI, optimizing for cost, performance, and scalability. Implement containerized AI workloads (Docker, Kubernetes) and serverless AI solutions. Design high-availability, fault-tolerant, and secure AI infrastructure. Data Architecture & Management Design and implement data architectures that support effective AI model deployment Define data pipelines, storage strategies, and data governance frameworks Establish data lineage and metadata management practices while integrating big data technologies (Spark, Databricks, Snowflake) for AI-driven analytics. MLOps & DevOps Build end-to-end MLOps pipelines (MLflow, Kubeflow, SageMaker, Vertex AI) for model lifecycle management. Implement CI/CD for AI models, including automated testing, versioning, and rollback. Design monitoring, logging, and alerting for AI models in production. Technical Leadership Lead the development of end-to-end AI solutions from conception to deployment Collaborate with cross-functional teams, including data scientists, engineers, and product managers Provide technical guidance and mentorship to development teams Conduct architectural reviews and ensure adherence to design principles Performance & Optimization Monitor and optimize AI system performance, latency, and resource utilization Implement cost optimization strategies for AI infrastructure and operations Conduct capacity planning and scaling strategies for AI workloads Troubleshoot and resolve complex AI system issues Innovation & Research Stay current with emerging AI technologies, frameworks, and industry trends Evaluate and pilot new AI tools and technologies for potential adoption Drive innovation initiatives and proof-of-concept development Participate in AI community events and knowledge sharing Stakeholder Engagement Present technical solutions and architectural designs to stakeholders and leadership Collaborate effectively with business teams, sales, and business development teams to support pre-sales activities, including presentations and demonstrations, to understand requirements and constraints. Facilitate technical discussions and decision-making processes Experience Requirement 7+ years of total professional experience in technology and solution architecture 2+ years of hands-on experience in AI/ML solution development and implementation 5+ years of experience working with cloud platforms (GCP, AWS, Azure, OCI) Technical Skills AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face, LangChain, AutoML. Cloud AI Services: SageMaker, Vertex AI, Azure ML, Bedrock, LLM APIs. MLOps Tools: MLflow, Kubeflow, TFX, Docker, Kubernetes, CI/CD pipelines. Data Engineering: Spark, Databricks, BigQuery, Snowflake, Airflow. Programming: Python (advanced), Java/Scala, SQL, PySpark. Agentic AI: RPA tools (UiPath, Automation Anywhere), process mining. Hands-on experience with CI/CD pipelines and DevOps practices Preferred Qualifications Master's degree in Computer Science, Engineering, or related technical field Certifications in cloud platforms (GCP Professional Cloud Architect, AWS Solutions Architect, Azure Solutions Architect) Experience with real-time AI applications and streaming data processing Knowledge of AI ethics, bias detection, and responsible AI practices Experience with microservices architecture and API design Strong programming skills in Python, TensorFlow, PyTorch, scikit-learn, and other relevant AI development tools and frameworks. Soft skill Excellent communication and presentation skills Strong collaborative mindset with ability to work across diverse teams Leadership capabilities with experience mentoring technical team members Problem-solving skills with the ability to think strategically and analytically Adaptability to work in a fast-paced, evolving technology environment