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 languageWhat 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 executionTest automation, contract testin