**Job Title: AI Voice Agent Backend Engineer (FastAPI, ADK, GCP, A2A, MCP)** Location: Remote (US-based or compatible time zones preferred) Employment Type: Contract or contract to hire About Us At Kognitiiv.ai, we're building a suite of next-gen AI voice agents-smart, scalable, digital assistants for small and mid-sized businesses. From customer service to IT support and receptionist automation, our agents are transforming how companies interact with their customers using AI, NLP, and voice tech. We're looking for a Backend Engineer who lives and breathes AI infrastructure, voice-based agents, and Python microservices. You'll help us power everything under the hood-from conversation memory and retrieval pipelines to the agent brain itself. Key Responsibilities - Develop and maintain backend services using FastAPI for our AI voice agents - Build, scale, and containerize services using Docker and Kubernetes - Integrate and optimize voice workflows using Twilio, Speech-to-Text, Text-to-Speech, and ElevenLabs - Implement and scale Retrieval-Augmented Generation (RAG) pipelines using vector databases - Build and deploy agents using LangChain, CrewAI, MCP, ADK, and related orchestration frameworks - Connect with LLM APIs like OpenAI, Claude, and Gemini via RESTful endpoints - Work within Google Cloud Platform, using Vertex AI, Cloud Functions, and secure data pipelines - Architect data gathering tools and model context protocols for long-term memory and agent reliability - Collaborate cross-functionally with frontend, product, and AI research teams Required Skills & Experience - 3+ years of backend development (Python, FastAPI preferred) - Deep experience with Docker, Kubernetes, and scalable microservices - Hands-on experience with voice-based AI agents or conversational interfaces - Experience with LLMs and LLM tooling frameworks (LangChain, CrewAI, ADK, MCP tools) - Solid knowledge of the A2A (Agent-to-Agent) protocol and MCP (Model Context Protocol) - Proven experience deploying agents on Google Cloud Platform, including best practices for scalability and reliability AI Voice Agent Backend Engineer Job Offer - Experience handling agent sessions, including session lifecycle management and session storage in databases - Ability to build custom tools and utilities for agent orchestration using Google ADK - Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) - Strong understanding of RAG pipelines, LLM APIs, and prompt engineering - Experience integrating third-party APIs (OpenAI, Google AI, Claude, ElevenLabs, Twilio) - Prior work with Google Cloud Platform and Vertex AI - Ability to work in a fast-paced, startup-style environment with autonomy and ownership Nice to Have - Voicebot or phone agent deployment experience - Contributions to open-source AI/ML projects - Experience with audio streaming, STT latency optimization, or real-time TTS synthesis - Familiarity with memory persistence tools for agents - Understanding of compliance/security protocols in AI communications Why Join Us - You'll be shaping the core AI infrastructure of a multi-agent platform built to scale - Work on cutting-edge tech in AI voice, LLM orchestration, and next-gen SaaS - Direct input into the agent architecture, backend stack, and product roadmap - Competitive pay with potential for equity or full-time hire Application Deadline: 30/06/2025