Python Developer

2 weeks ago

Chandigarh, India Trantor Full time

Job Title: SSE – Python & LLM IntegrationLocation: Hybrid, Chandigarh, IndiaExperience: 3 to 6+ years in software developmentEmployment Type: Full-timeAbout the RoleWe 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 & ExperienceTechnical:- 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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