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5.0 - 7.0 years
12 - 15 Lacs
noida
Work from Office
We are looking for an Full Stack AI & Agentic Developer to join our product team. This role is for someone who has worked with AI tools, LLMs (like ChatGPT, Claude), and agent frameworks (LangChain, CrewAI, AutoGen).If you love building smart AI systems and applications that can work on their own, integrate with APIs, and solve real problems is the right role for you. Responsibilities: Build and integrate AI-powered applications using LLMs and AI APIs (OpenAI, Claude, Hugging Face). Create and manage AI agents using tools like LangChain, CrewAI, and AutoGen. Use prompt engineering to improve AI results and user experience. Work with vector databases (Pinecone, FAISS, Chroma) for AI search and knowledge retrieval. Collaborate with developers, designers, and researchers to build smart solutions. Deploy applications using Docker, Kubernetes, Vercel, Railway, and Supabase . Ensure applications run smoothly, are scalable, and perform well. Required Skills: 45 years of experience in AI/ML or Full Stack Development with AI integration . Strong knowledge of Python, JavaScript, React.js, Next.js, Node.js, and TypeScript . Experience with AI APIs (OpenAI, Claude, Hugging Face). Hands-on with LangChain, AutoGen, CrewAI, and similar frameworks. Understanding of prompt engineering and AI search (vector databases) . Knowledge of PostgreSQL, Supabase, Railway, Vercel . Comfortable using AI coding assistants like GitHub Copilot, Cursor, Tabnine . Good problem-solving, teamwork, and communication skills. Tech Stack Youll Use: Frontend: React, Next.js Backend: Node.js, Python Database: PostgreSQL, Supabase AI Tools: OpenAI, Claude, LangChain, CrewAI, AutoGen Vector DBs: Pinecone, FAISS, Chroma Deployment Tools: Docker, Kubernetes, Vercel, Railway, n8n Dev Tools: GitHub, Copilot, Cursor, Tabnine Why Join Us? Work on real AI innovation with the latest tools. Be part of a fast-growing and creative team . Build applications that make an impact. Grow your skills in the exciting world of AI .
Posted 1 week ago
2.0 - 4.0 years
8 - 12 Lacs
Pune
Work from Office
Job Summary: We are looking for an innovative and technically skilled Generative AI Developer with 2 - 4 years of experience to join our team, focusing on the development and deployment of intelligent agents using Agentforce, Salesforces GenAI platform, or similar frameworks. The ideal candidate will be passionate about applying large language models (LLMs) to real-world business workflows, building conversational agents, and delivering high-impact AI-powered solutions within the Salesforce ecosystem and beyond. Key Responsibilities: • Design, develop, and deploy Generative AI agents using Agentforce, LLMs (like GPT-4), and related frameworks. • Build and integrate intelligent, context-aware workflows into CRM, support, and operational systems. • Collaborate with cross-functional teams (Product, Engineering, Data, and Business) to understand business challenges and deliver scalable AI solutions. • Fine-tune and prompt LLMs for specific use cases such as market outreach, sales assistance, document summarization, and automation tasks. • Maintain and optimize agent performance through evaluation, prompt engineering, and feedback loops. • Stay up-to-date with the latest in generative AI, Salesforce AI tools (Einstein Copilot, Agentforce), and open-source frameworks. • Create technical documentation and provide support for production deployments and ongoing enhancements. Qualifications Required : • 2 - 4 years of experience in AI/ML or Software Development, with at least 1 year working directly with LLMs or GenAI applications. • Hands-on experience with Agentforce, OpenAI, LangChain, or other GenAI frameworks. • Proficiency in Python, JavaScript, or relevant programming languages for AI agent development. • Experience integrating GenAI capabilities into Salesforce, web apps, or enterprise systems. • Strong understanding of prompt engineering, vector databases, and agent orchestration. Preferred : • Experience with Salesforce Einstein Copilot, Salesforce Data Cloud, or MuleSoft integration. • Familiarity with LLMOps, model evaluation, or responsible AI best practices. • Knowledge of REST APIs, OAuth, and cloud platforms (AWS, GCP, Azure). Preferred candidate profile
Posted 2 months ago
4.0 - 8.0 years
12 - 22 Lacs
hyderabad, chennai, bengaluru
Work from Office
Design and implement AI agents for infrastructure operations (e.g., auto-remediation, provisioning, alert management). Develop application-level agents for workflow automation, decision support, and user experience enhancement. Collaborate with cross-functional teams to integrate agents into existing systems using APIs, pipelines, and orchestration tools. Apply ethical AI principles including transparency, traceability, and responsible usage. Optimize agent performance through memory modules, planning modules, and tool execution layers. Contribute to the development of reusable agent templates and accelerators for rapid deployment. Evaluate and fine-tune models using platforms like Vertex AI, Amazon Bedrock, or Langchain. Technical Skills: AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face, Langchain, LlamaIndex Gen AI Platforms: Vertex AI Agent Builder, Amazon Bedrock, Microsoft Copilot Studio Programming Languages: Python, JavaScript/TypeScript, SQL Infrastructure Tools: ServiceNow, Datadog, Moogsoft, Resolve Cloud Platforms: AWS, Azure, GCP Agent Architecture: Planning modules, memory modules, tool execution, intent-based communication Security & Governance: Experience with AI control planes, auditability, and explainability
Posted Date not available
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