Python Developer - (AI/ML Integration)

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 ResponsibilitiesLead 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-HaveExperience 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.