Technical Lead

9 hours ago

Chandigarh, Chandigarh, India Trantor Full time
Technical Lead – Python & LLM Integration

Location: Hybrid, Chandigarh, India

Experience: 6+ years in software development (at least 2+ years in Python leadership roles)

Employment Type: Full-time

About the Role

We are looking for a hands-on technical lead with strong Python expertise and a deep understanding of Large Language Model (LLM) integration to lead the design, development, and deployment of AI-powered solutions. This role requires a balance of technical leadership, architecture design, and hands-on coding to ensure high-quality, scalable, and efficient AI-driven applications.

You will collaborate closely with product, data science, and MLOps teams to integrate LLMs into real-world applications, optimize performance, and guide the team in best practices for AI system design.

Key Responsibilities

- Lead the development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.
- Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production.
- Ensure performance optimization, cost efficiency, and security in LLM workflows.
- Guide the team on Python best practices, code reviews, and technical problem-solving.
- Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.

Required Skills & Experience

Technical:

- Strong proficiency in Python (FastAPI, Flask).
- Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).
- Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).
- Experience with prompt engineering & evaluation techniques.
- Knowledge of MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on AWS/GCP/Azure.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Strong grasp of REST APIs, GraphQL, and microservices architecture.
- Knowledge of model fine-tuning and performance optimization.

Soft Skills:

- Excellent leadership and mentoring abilities.
- Strong problem-solving and analytical skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to work in a fast-paced, evolving AI environment.

Nice-to-Have

- Experience with agentic AI or Model Context Protocol (MCP).
- Background in data pipelines (ETL, streaming data).
- Exposure to AI security & compliance practices.
- Prior work in scalable enterprise AI products.

Education

- Bachelor's or Master's in Computer Science, AI/ML, or a related field. Equivalent experience is also welcome.

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