Tech Lead
Tech Lead
Posted on :
29-05-2025
Employer Active
1 Vacancy
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Job Description
Were looking for a strong senior Python engineer with hands-on experience in backend and AI/ML systems who can take ownership of technical direction guide junior developers and lead end-to-end across projects especially in the GenAI and intelligent automation space.
Must-Have Skills and amp; Traits
Core Engineering and amp; Architecture
- Expert-level proficiency in Python with deep experience building scalable production-grade systems
- Strong grasp of software design principles: modularity performance optimization testing and fault tolerance
- Significant experience with backend frameworks like FastAPI Flask or Django
- Able to design and review system architecture API contracts and data models across services
- Comfortable with SQL/NoSQL databases caching strategies distributed queues and containerized environments
- Experience setting up or guiding CI/CD pipelines infrastructure decisions and operational workflows
AI/ML and amp; GenAI Expertise
- Proven experience applying machine learning or GenAI in production environments
- Hands-on with LLMs and tools such as LangChain OpenAI APIs Hugging Face Transformers etc.
- Designed or implemented systems involving prompt engineering RAG vector search or model orchestration
- Familiarity with model evaluation performance tuning and integration of unstructured data
- Bonus: experience with fine-tuning custom model serving or experimentation frameworks
Leadership and amp;
- Led or played a central role in technically complex projects or AI-powered product features
- Ability to break down abstract problems into actionable technical plans
- Experience mentoring or onboarding engineers conducting code reviews and raising code quality standards
- Capable of aligning tech decisions with product and business goals
- Demonstrated ability to lead cross-functional discussions and balance short-term shipping with long-term scalability
Nice-to-Have Skills
- Experience working in fast-paced product startups or 0-to-1 environments
- Proficient in async Python and event-driven systems (e.g. Kafka RabbitMQ AWS EventBridge)
- Exposure to agentic systems intelligent workflows or multi-agent orchestration
- MLOps experience: model deployment monitoring retraining CI/CD for ML systems
- Frontend familiarity (e.g. React Tailwind) for debugging or full-stack delivery
- Background in data science: statistical modeling EDA or A/B experimentation frameworks
Employment Type
Full Time
Key Skills
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