Generative ai engineer

Job Title: AI Engineer – Generative AI
Location: India (Remote/Hybrid)
Experience: 4–10 years
Employment Type: Freelancing/Contractual
Role Overview
We are seeking a highly capable AI Engineer with expertise in Generative AI, conversational AI, and agentic systems to build next-generation intelligent applications. This role involves designing chatbots, copilots, and autonomous AI agents using LLMs like GPT and Claude, combined with RAG pipelines and orchestration frameworks such as Lang Chain and Lang Graph.
You will be responsible for developing scalable, production-grade AI systems that can reason, act, and interact with users and enterprise systems.
Key Responsibilities
Design and develop AI-powered chatbots and conversational assistants for enterprise use cases
Build and deploy agentic AI systems capable of multi-step reasoning, tool usage, and autonomous decision-making
Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge-grounded responses
Implement orchestration workflows using Lang Chain and Lang Graph for agent-based architectures
Integrate chatbots with enterprise platforms (CRM, ERP, ticketing systems, databases, APIs)
Design multi-agent systems with task delegation, memory, and tool execution capabilities
Develop backend services and APIs using Python (Fast API/Flask)
Optimize prompts, memory, and context handling for conversational accuracy and efficiency
Implement conversation flows, guardrails, and fallback mechanisms
Ensure responsible AI practices including security, privacy, and hallucination mitigation
Collaborate with product, design, and business teams to deliver impactful AI solutions
Required Skills & Qualifications
4+ years of software development experience with strong proficiency in Python
Hands-on experience building chatbots or conversational AI systems using LLMs (GPT, Claude)
Strong understanding of agentic AI frameworks and autonomous workflows
Experience with Lang Chain and/or Lang Graph for building agents and workflows
Solid experience with RAG architectures , embeddings, and vector databases (Pinecone, FAISS, Weaviate, etc.)
Experience in prompt engineering, context management, and conversation design
Knowledge of tool integration for agents (APIs, databases, external services)
Experience building REST APIs and scalable microservices
Familiarity with cloud platforms such as AWS, Azure, or GCP
Understanding of NLP concepts and transformer-based architectures
Preferred Qualifications
Experience designing multi-agent ecosystems and agent orchestration
Exposure to chatbot frameworks (e.g., Dialogflow, Botpress, Rasa, or custom LLM-based bots)
Experience with memory systems (short-term, long-term, vector-based memory)
Knowledge of LLMOps / MLOps including monitoring, evaluation, and prompt/version management
Experience building voice-enabled bots or omnichannel conversational systems
Exposure to human-in-the-loop systems and feedback learning loops
Key Competencies
Strong problem-solving with ability to design intelligent, autonomous systems
Ability to translate business workflows into AI-driven conversational and agentic solutions
Excellent communication and stakeholder management
Passion for cutting-edge AI innovations and rapid prototyping