58 Openai Api Jobs - Page 3

We are hiring a Marketing Automation & Digital Operations Specialist to take full ownership of our backend marketing systems, automation workflows, SEO execution, and inbound lead funnels. What Were Looking For: An experienced operator who can: Build and maintain marketing automation workflows across tools like: Zapier , Make.com , Clay , Smartlead , Salesrobot AI integrations (OpenAI, ChatGPT API, etc.) Execute SEO and content updates (no fluff content, real impact SEO) Manage and schedule LinkedIn posts, newsletters, and social content Build lead magnets and connect them to opt-in journeys Handle CRM enrichment, segmentation, and nurturing workflows Set up and run inbound lead capture and follow-up systems Tools You Must Be Comfortable With: Zapier, Make.com, Clay, Smartlead, Salesrobot OpenAI (prompt design + API usage) LinkedIn + Buffer/Hootsuite/ContentStudio Google Search Console / RankMath or equivalent SEO tools WordPress (basic updates), Google Sheets, Notion Responsibilities: End-to-end setup and optimization of automation workflows Maintain and post scheduled content across social platforms Handle basic SEO: updating pages, publishing optimized content, tracking performance Build and manage inbound lead journeys (from landing page to email to CRM) Monitor and optimize lead flow from anonymous visitor to enriched contact Experience Required: 3+ years of hands-on experience with automation tools and marketing ops Portfolio or documented workflows showing real results Previous ownership of multi-channel marketing backend is preferred Ideal Traits: Self-starter, works independently, delivers without micromanagement Fast turnaround, documents systems clearly Clear thinker who can prioritize and simplify

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Hiring AI & Data Retrieval Engineer with expertise in NLQ, Text-to-SQL, LLMs, LangChain, pgVector, PostgreSQL, vector search, Python, AI libraries, Agentic AI & API integration. Exp with NLP, RAG, BI tools, live projects & LLM fine-tuning preferred.

We are looking for an AI Engineer (Senior Software Engineer). Interested candidates email me resumes on mayura.joshi@lionbridge.com OR WhatsApp on 9987538863 Responsibilities: Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks. Implement and fine-tune models to improve response relevance and contextual accuracy. Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding. Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities. Integrate AI models with enterprise applications and APIs. Optimize model inference for performance and scalability. Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives. Ensure ethical AI implementation, addressing bias, explainability, and data security. Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques. Requirements: 8+ years experience in software development according to development standards. Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain. Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies. Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate. Solid understanding of NLP, deep learning, and transformer architectures. Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.). Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities Bachelors or Masters degree in computer science, AI, Machine Learning, or a related field.

Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance

Job Overview: We are looking for a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging LLMs, reinforcement learning, and multi-agent systems. You will work on cutting-edge AI frameworks like LangChain, AutoGen, CrewAI, and MLOps pipelines for scalable deployment. Key Responsibilities: AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Required Skills & Qualifications: Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills.