Job Title

Life at EvoluteIQ We at EvoluteIQ believe in the power of transformation. We are committed to building a industry-leading Technology that will revolutionize the way enterprises conduct business. To make that happen, we need people who are generous, genuine, self-driven, and collaborative. People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and caring—about each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day. Could that be you? We are looking for an experienced Python Tech Lead who can guide a team of developers to build clean, scalable, maintainable, and production-ready applications. The ideal candidate has hands-on experience taking Python applications into production, enforcing engineering best practices, and contributing to end-to-end architecture across backend, frontend, and modern AI/ML ecosystems. What you'll do at EvoluteIQ: Technical Leadership Provide technical direction and leadership to the development team. Conduct in-depth code reviews & enforce clean, scalable, maintainable code standards. • Drive architectural decisions across backend, frontend, and data pipelines. Mentor junior developers; define best practices, reusable components, and coding guidelines. Design & Development Architect and build backend services using Python, REST APIs, async frameworks (FastAPI, Flask, Django). Design scalable software systems following design patterns, modular architecture, and domain-driven principles. Lead integration of GenAI/ML frameworks into production workflows. Implement ETL/data processing logic using pandas, scikit-learn, or related packages. Work with spaCy, LangChain, LangGraph, and other generative AI/NLP tools. Build microservices, containers, event-driven pipelines, and distributed systems using Docker/Kubernetes. Develop front-end applications (React/Angular/Vue) and guide UI developers toward scalable UI architecture. DevOps / Productionization Own CI/CD pipelines & deployment automation. Implement observability: logging, metrics, tracing, ingesting KPIs. Ensure application reliability, scalability, fault tolerance, and performance optimization. Collaboration & Stakeholder Management Collaborate with product managers & architects to understand requirements and translate into engineering plans. Work with cross-functional teams (frontend, backend, ML, QA) to deliver high-quality releases. Communicate technical decisions to stakeholders in simple, actionable language What will you bring to the team? 12–15 years of total experience in - Python 3.x ecosystem, OOP, design principles, static typing, dependency management. Building & Deploying REST APIs (FastAPI, Flask, Django). Class-based design & abstraction, analytics/KPI frameworks. Generative AI & ML Experience with LangChain, LangGraph, HuggingFace, spaCy, scikit-learn. Familiarity with LLM integration, prompt engineering, vector stores, retrieval methods, embeddings. Frontend Experience with React/Angular/Vue. Strong understanding of UI architecture, state management, REST/GraphQL. Cloud & DevOps Experience deploying production systems on AWS/Azure/GCP. Strong with Docker; knowledge of Kubernetes desirable. CI/CD experience, observability & monitoring tools. Architecture & Software Quality Expertise in scalable, modular systems & reusable frameworks. Experience with microservices, messaging queues, caching. Strong debugging, optimization & performance tuning. Strong code review & quality enforcement. Good To Have: Data engineering (Airflow, Spark, DuckDB) Vector DBs (Pinecone, Chroma, Redis Vector, FAISS) RAG pipelines, agents & tool execution Test automation, contract testin