Python Developer

3 weeks ago

Chandigarh India, India Trantor Full time

Job Title: SSE – Python & LLM Integration

Location: Hybrid, Chandigarh, India

Experience: 3 to 6+ years in software development

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.

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