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.