109 Aws Bedrock Jobs - Page 5

Role Summary: We are looking to hire Junior Gen AI Developers with hands-on experience in building and deploying Generative AI applications. Candidates must have actively contributed to at least one real-time project rollout to a customer. At least 6 months of hands-on experience in Gen AI application development Exposure to real-time Gen AI project rollout Ability to develop AI Assistants and Agents Experience in deploying Gen AI applications on cloud (Azure, AWS) or on-premises infrastructure Strong understanding and implementation of prompt engineering techniques Understand the use case and design AI solution which fits for customer needs Develop AI Assistants and Agents using GenAI AI platforms Deploy on any cloud or on Prem infrastructure Experience in using different prompt techniques Experience in testing & finetuning the Gen AI solutions Experience in implementing Guardrails as per customer needs

Role & responsibilities Design and deliver training programs on Generative AI fundamentals and advanced topics. Conduct hands-on workshops on building AI-powered applications using LLM APIs and frameworks. Teach prompt engineering techniques for text generation, summarization, and contextual reasoning. Demonstrate fine-tuning and model customization for domain-specific tasks. Guide participants in building RAG-based solutions using vector databases and document retrieval systems. Cover deployment strategies for GenAI models on cloud platforms and edge devices. Provide training on evaluation metrics for AI models accuracy, coherence, toxicity detection. Incorporate real-world case studies from finance, healthcare, retail, and customer service domains. Create training materials, labs, and coding exercises for self-paced and instructor-led sessions. Evaluate participant progress through projects, assignments, and quizzes. Stay up to date with latest GenAI research, tools, and best practices and integrate them into training content. Preferred candidate profile 5+ years of experience in AI/ML development , with at least 2 years in Generative AI . Strong coding skills in Python with experience in transformer-based models . Proven track record in LLM integration and application development . Experience with LangChain , Hugging Face , and vector databases . Previous experience in technical training, mentoring, or corporate workshops . Excellent communication and presentation skills. Passion for emerging AI technologies and ability to simplify complex topics for varied audiences.

Role & responsibilities Gen AI Engineer Work Mode :Hybrid Work Location : Chennai / Hyderabad Work Timing : 2 PM to 11 PM Primary : GEN AI Python, AWS Bedrock, Claude, Sagemaker , Machine Learning experience) 8+ years of full-stack development experience 5+ years of AI/ Gen AI development Strong proficiency in JavaScript/TypeScript, Python, or similar languages Experience with modern frontend frameworks (React, Vue.js, Angular) Backend development experience with REST APIs and microservices Knowledge of AWS services, specifically AWS Bedrock, Sagemaker Experience with generative AI models, LLM integration and Machine Learning Understanding of prompt engineering and model optimization Hands-on experience with foundation models (Claude, GPT, LLaMA, etc.) Experience retrieval-augmented generation (RAG) Knowledge of vector databases and semantic search AWS cloud platform expertise (Lambda, API Gateway, S3, RDS, etc.) Knowledge of financial regulatory requirements and risk frameworks. Experience integrating AI solutions into financial workflows or trading systems. Published work or patents in financial AI or applied machine learning.

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 36+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases

Role & responsibilities Skill : Python or Node , LLM , RAG , AWS Bedrock . EXP : 5- 8 Yrs Location : Bangalore Must-Have Skills 3+ years of software development experience (preferably in full-stack or backend roles). Solid experience with Python, Node.js, or another backend language. Familiarity with RESTful APIs, cloud platforms (AWS, GCP, Azure), and AI-as-a-service offerings. Experience integrating with LLMs (e.g., OpenAI GPT APIs) or AI APIs (e.g., image, vision, speech). Ability to write clean, maintainable, and scalable code. Comfortable working in cross-functional teams in agile environments. Preferred candidate profile

Key Responsibilities: • Design and implement solutions using Generative AI models and AWS Bedrock services • Develop and optimize prompts for various use cases including chatbots, content generation, and automation • Integrate and configure LLMs for banks applications • Collaborate with cross-functional teams to integrate AI solutions into existing systems • Stay updated with the latest advancements in AI, LLMs, and cloud-based AI services Required Skills & Qualifications: • Proven experience with Generative AI frameworks and LLMs (e.g., OpenAI, Hugging Face, Amazon Bedrock) • Strong expertise in Prompt Engineering and optimization techniques • Solid foundation in Data Science including statistics, ML and data wrangling • Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch • Hands-on experience with AWS Bedrock services and LLM integration/configuration • Experience with API integration, model deployment, and cloud platforms • Excellent problem-solving and communication skills • Experience in writing clean, efficient, and scalable Python code for data processing, model training, and deployment • Experience in analyzing complex datasets to extract insights and build predictive models

Job Description: Join DigiAlly , a cutting-edge fintech innovator enabling digital trust between SMEs and financial institutions across India and Southeast Asia using Generative AI , LLMs , and behavioral intelligence platforms . We are hiring a Senior Generative AI Engineer to lead the development of AI copilots , prompt/RAG workflows , and LLM-integrated decision systems using platforms like Amazon Bedrock and Google Vertex AI . Key Responsibilities: Design & optimize LLM prompts and context flows for fintech use cases. Build retrieval-augmented generation (RAG) systems using LangChain, LangFlow, Semantic Kernel. Integrate GenAI outputs with structured ML signals (fraud detection, risk scoring). Develop internal GenAI UIs using Streamlit, Gradio , or integrate with React.js frontends. Support deployment via AWS (Lambda, S3, API Gateway, EC2) for scalable delivery. Participate in prompt testing, evaluation loops , and ensuring LLM safety & grounding . Required Skills: 2+ years hands-on experience with LLMs, GenAI tools , or prompt/RAG engineering. Strong programming in Python , and exposure to LangChain / LangFlow / Semantic Kernel . Platform experience: Amazon Bedrock , Google Vertex AI , OpenAI , or Claude APIs . Knowledge of Vector DBs (Pinecone, FAISS) and embedding pipelines. API integration with Flask/FastAPI/Node.js ; familiarity with React is a plus. Strong communication, debugging, and product-collaboration mindset. Preferred Skills (Bonus): Frontend prototyping using Streamlit or Gradio Experience with chatbot frameworks or code/document automation via GenAI Understanding of Mermaid, AST parsing , or diagram generation for code assistants Familiarity with DevOps basics , version control, and CI/CD pipelines Education: B.Tech/B.E. in Computer Science / Engineering / AI-ML / Related Field M.Tech / M.Sc / MCA preferred (not mandatory)

Company Name: Karini AI Job Title: Generative AI Engineer Location: Wakad, Pune (Onsite) Employment Type: Full-time Job Overview: Karini AI is looking for a highly motivated and skilled Generative AI Engineer to join our AI team. The ideal candidate should have expertise in Large Language Models (LLMs), Machine Learning (ML), and Deep Learning . We are looking for problem solvers, collaborative team players, and passionate individuals eager to work on cutting-edge AI technologies. If you aspire to be part of an innovative team and accelerate your career in AI, this is the perfect opportunity for you! Roles & Responsibilities: Collaborate with researchers, engineers, and domain experts to design, develop, and optimize Agentic AI applications . Fine-tune LLMs on large-scale datasets to enhance performance and accuracy. Develop compelling demos and lead proof-of-concept (PoC) projects. Stay updated with the latest research advancements in Generative AI and implement best practices. Deploy large-scale machine learning models in cloud-based environments. Mandatory Technical Skills: Hands-on experience in Generative AI and Deep Learning . Advanced knowledge of prompt engineering . Strong experience in PyTorch and working with GPUs . Proficiency in Python (Intermediate to Advanced level). Understanding of model fine-tuning and distributed computing in the cloud. Eligibility Criteria: Bachelors degree in Computer Science, AI, or a related field (4-year program). Masters degree in Artificial Intelligence or a related domain (preferred). Proven experience working as an AI Engineer with a strong foundation in Generative AI . Proficiency in deep learning frameworks and NLP techniques. Experience with cloud-based infrastructure for deploying machine learning models. Key Skills: Generative AI, Deep Learning, Machine Learning, Natural Language Processing (NLP), PyTorch, Python, Cloud Computing, LLM Fine-Tuning, Agentic AI, Lang graph.

Job Title: Senior Principal Data Engineer Location: Gurgaon Work Schedule: 12:00 PM 8:30 PM IST Job Type: Full-Time Job Summary: We are seeking an experienced Senior Principal Data Engineer with a strong background in AI/ML , Generative AI , and cloud-native architectures . This role involves leading the design and implementation of advanced data and AI solutions using AWS, mentoring technical teams, and driving innovation through emerging technologies. Key Responsibilities: Architect and design Generative AI solutions leveraging AWS services (e.g., Bedrock, S3, PGVector, Kendra, SageMaker). Collaborate with engineering teams throughout the software development lifecycle to ensure robust and scalable solutions. Lead technical decision-making and resolve complex AI/ML challenges. Conduct solution reviews and ensure alignment with best practices and security policies. Guide solution governance and secure necessary architectural approvals. Integrate emerging technologies and frameworks (e.g., LangChain) into solution designs. Deliver technical presentations, workshops, and knowledge-sharing sessions. Create and maintain architectural documentation and design specifications. Mentor junior engineers and contribute to a culture of continuous learning. Partner with data scientists and analysts to enable effective model development and deployment. Coordinate with stakeholders and clients to align data architecture with business objectives. Stay current with industry trends in AI, machine learning, data engineering, and cloud technologies. Required Qualifications: 12–15 years of experience in software development and architecture. Proven expertise in designing and delivering AI/ML and data-driven solutions. Deep understanding of AWS cloud services , especially: Bedrock SageMaker Kendra S3 PGVector Strong programming skills in Python (required), with additional experience in Java or Scala preferred. Solid foundation in data structures , algorithms , and software design patterns . Experience in building ETL/data pipelines and working with diverse data types (structured, unstructured, semi-structured). Understanding of DevOps practices and CI/CD pipelines . Familiarity with Generative AI frameworks such as LangChain . Knowledge of AI ethics , bias mitigation, and responsible AI principles. Nice to Have: Experience working with large-scale enterprise data systems. Exposure to cloud governance and architectural review boards. Certifications in AWS or AI/ML technologies.