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 caringabout 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
1215 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
