Tech Lead – AI Projects at analytos.ai 🎯 About the Role We’re looking for a Tech Lead who can bridge the gap between client vision and technical execution — someone who thrives at the intersection of architecture, delivery, and communication. You’ll lead end-to-end development of AI-powered products and automation solutions, ensuring seamless coordination between clients and the engineering team. You’ll translate business goals into scalable technical roadmaps, guide developers, and ensure on-time, quality delivery of complex, agentic AI systems. 🧠 Key Responsibilities Own end-to-end project delivery — from requirement gathering to deployment. Collaborate directly with clients to understand business needs, document requirements, and translate them into technical architecture. Design scalable architectures for AI-powered applications using modern stacks (MERN, Python, FastAPI, Node.js). Lead and mentor a cross-functional team of developers, data scientists, and automation engineers. Ensure timely and quality delivery by defining sprints, code reviews, and deployment standards. Collaborate with DevOps to manage CI/CD pipelines, version control, and cloud infrastructure (AWS/GCP). Architect and oversee AI integrations — including LLMs, AI agents, and automation frameworks (LangChain, LangGraph, CrewAI, etc.). Monitor progress and risk, proactively resolving bottlenecks in technical or communication workflows. Stay updated with latest AI, DevOps, and software trends to continuously improve project performance. 🧩 Technical Skills Required Strong Understanding with one or more modern stacks: MERN (MongoDB, Express, React, Node.js) Python (FastAPI, Flask, Django) Solution Architecture: designing scalable systems, APIs, microservices, and integrations. AI/ML familiarity: experience implementing LLMs, RAG, vector DBs, or AI agent workflows. DevOps proficiency: CI/CD (GitHub Actions, Jenkins), Docker, containerization, cloud deployment (AWS/GCP). Database expertise: PostgreSQL, MongoDB, Redis, or similar. Version Control: Git, GitHub, or Bitbucket. Excellent debugging, performance optimization, and problem-solving skills. 💬 Soft Skills & Leadership Exceptional communication skills — both technical and client-facing. Strong project management mindset with accountability for delivery timelines. Ability to lead discussions with stakeholders and align technical decisions with business goals. Mentorship mindset — support and grow the development team through guidance and reviews. Proactive, ownership-driven attitude with the ability to operate in fast-paced startup environments. 💡 Nice to Have Experience with AI Agent frameworks (LangChain, LangGraph, CrewAI, Semantic Kernel, AutoGen, etc.). Knowledge of RPA or Agentic Process Automation (APA) workflows. Exposure to n8n / Activepieces / Zapier for workflow orchestration. Familiarity with MCP (Model Context Protocol) and tool-based agent ecosystems. Prior experience in startup or product-based environments. 🎁 What You’ll Get Opportunity to lead end-to-end AI solution delivery for real enterprise clients. Work with cutting-edge LLM and agentic frameworks shaping next-gen automation. Dynamic startup culture that values innovation, learning, and ownership. Flexible remote work environment with global client exposure. Competitive compensation and performance-based incentives.