Location : Bengaluru, India

Life at EvoluteIQ :

We at EvoluteIQ believe in the power of transformation. We are committed to building an 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.

Your Mission :

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.

Technical Leadership :

- Provide technical direction and leadership to the development team.

- Conduct in-depth code reviews and 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 and 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 and deployment automation.

- Implement observability : logging, metrics, tracing, ingesting KPIs.

- Ensure application reliability, scalability, fault tolerance, and performance optimization.

Collaboration and Stakeholder Management :

- Collaborate with product managers and 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 and Deploying REST APIs (FastAPI, Flask, Django).

- Class-based design and abstraction, analytics/KPI frameworks.

Generative AI and 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 and DevOps :

- Experience deploying production systems on AWS/Azure/GCP.

- Strong with Docker; knowledge of Kubernetes desirable.

- CI/CD experience, observability and monitoring tools.

Architecture and Software Quality :

- Expertise in scalable, modular systems and reusable frameworks.

- Experience with microservices, messaging queues, caching.

- Strong debugging, optimization and performance tuning.

- Strong code review and quality enforcement.

Good To Have :

- Data engineering (Airflow, Spark, DuckDB)

- Vector DBs (Pinecone, Chroma, Redis Vector, FAISS)

- RAG pipelines, agents and tool execution

- Test automation, contract testing

What We Offer :

- Opportunity to shape the strategy of a next-gen hyper-automation platform.

- Work with a cross-disciplinary team in a fast-growing, innovation-driven environment.

- Competitive compensation and growth opportunities.

- A culture of innovation, ownership, and continuous learning.