3 Llm Applications Jobs

ExperienceRequired: 8-10 years PositionType: Contract WorkMode: Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad ShiftTiming: Flexible can start between 11 AM to 2 PM IST, end between 8 PM to 11 PM IST 3MustSkills: Gen AI, AWS, SQL Key Responsibilities NLP Expertise: Strong foundation in NLP methods text classification, sentiment detection, entity recognition. RAG Expertise: Proficiency with Retrieval-Augmented Generation (RAG); experience with vector databases (Weaviate, Pinecone). LLM Applications: At least 1 year experience building LLM-based applications using 3rd-party models (OpenAI, Anthropic). Prompt Engineering: Skilled in prompt engineering, crafting function calls, building conversational AI apps. Advanced LLM Techniques: Familiarity with zero-shot, few-shot learning, and fine-tuning. Python Programming: Extensive Python programming expertise to implement complex solutions. GenAI Libraries: Experience with Langchain, HuggingFace. Version Control: Proficient with Git and collaborative workflows. Data Preparation: Manage large structured & unstructured datasets. ML Deployment: Deploy, scale, and monitor ML/LLM models in live environments. Collaboration: Occasional overlap with US Eastern Time for team collaboration. DesiredExperience OpenSourceLLMs: Experience with frameworks like Llama or Mistral. RegulatedSectorExperience: Prior experience with data in regulated sectors (Healthcare, Banking). TechnicalSkillsAndCapabilities APIDevelopment: RESTful API design & development (Python-FastAPI). JavaScriptExpertise: Frontend & backend development using JavaScript + frameworks. Microservices Architecture: Architect scalable microservices-based solutions. GenerativeAILandscape: Deep understanding of RAG, vector embeddings, LLMs, OSS AI tools. CloudPlatforms: AWS / Azure / GCP deep understanding of cloud data services. DatabaseExpertise: SQL & NoSQL database design and optimization. DataStreaming: Kafka / Azure Event Hub / AWS Kinesis experience. AgilePractices: Experience with Agile development, Git, Jenkins, Azure DevOps. CICDPipelines: Ability to build/manage CI/CD pipelines. CommunicationSkills: Strong team collaboration, technical & non-technical stakeholder engagement.

About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

ZENSAR - OPPORTUNITY FOR Gen AI with Python Engineer” Apply Here: - https://forms.office.com/r/nVP0Mg5eeE Dear Aspirant, Greetings from Zensar!! We are thrilled to offer you an excellent opportunity to join our team as a Gen AI with Python Engineer professional . Experience Required: 6 - 9 Years Location: Pune, Bangalore, Chennai, Hyderabad (Hybrid) LLM Applications & Agentic Frameworks Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. Create and leverage synthetic datasets to simulate edge cases and scale training. Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment & Cross-Team Collaboration Translate ambiguous requirements into structured, AI-enabled solutions. Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have Microsoft Copilot Studio DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Qualifications 6–9 years of experience in software development or AI/ML engineering At least 3 years working with LLMs, GenAI applications, or agentic frameworks. Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration Proven track record of developing functional AI prototypes beyond notebooks. Strong presentation and storytelling skills to clearly convey GenAI concepts and value. Ability to independently drive AI experiments from ideation to working demo. Role & responsibilities Preferred candidate profile