Through this role you have an opportunity to design and develop intuitive software that meets and exceeds the needs of the customer and the company.
You also get to collaborate with team members to develop best practices and client requirements for the software.
You will work with software engineers & architects, program managers, external teams, and partners in an agile manner to build and release product features that caters to business requirements.
Use your knowledge of applicable LLM technology stacks and backend platforms ( python) to automate application flow and services.
You ll work to design and architect solutions to remove performance impacting barriers and increasing efficiency of our automation operations.
You will be building services, tools, portals, backend components and Integrating with LLM models and apply your knowledge as part of your solutions.
Create proof of concepts, prototyping and experimentation.
You will professionally maintain all codes and create updates regularly to address the customer s and company s concerns
You will show your skills in analysing and testing programs/products before formal launch to ensure flawless performance.
Troubleshooting coding problems quickly and efficiently will offer you a chance to grow your skills in a high-pace, high-impact environment.
Software security is of prime importance and by developing programs that monitor sharing of private information, you will be able to add tremendous credibility to your work
You will also be required to seek ways to improve the software and its effectiveness.
You will support the coaching and training of other team members to ensure all employees are confident in the use of software applications
What youll bring:
Design and develop end-to-end LLM-integrated solutions using frameworks like LangChain, LangGraph, and AutoGen.
Build modular, well-structured, and configurable Python modules for scalable deployment.
Implement advanced techniques in LLM-based reasoning such as RAG, CoRAG, Self-Refinement, and ReACT.
Develop custom agent flows that interact with internal tools, APIs, and databases to automate complex tasks.
Design and manage orchestration pipelines for multi-agent workflows using tools like LangGraph or custom FSM frameworks.
Integrate with NoSQL databases (e.g., MongoDB, Redis, Cassandra) for state, memory, or knowledge base persistence.
Work closely with Data and Product Managers to deliver AI-powered applications with measurable impact.
Write clean, testable, and well-documented code following best practices in software engineering and Python development.
Contribute to the architecture and infrastructure of our LLM-based services ensuring performance, scalability, and resilience.
Must-Have Qualifications:
10+ years of experience in backend software development, with strong proficiency in Python.
Hands-on experience with LangChain, LangGraph, or similar agent-oriented frameworks.
Proven track record of building and deploying LLM-integrated applications in production.
Deep understanding of LLM integration techniques: RAG, CoRAG, SWE, ReACT, Toolformer-style tools.
Experience with NoSQL databases like MongoDB, Redis, or Cassandra.
Ability to write maintainable and scalable Python code, with emphasis on code reuse and modularity.
Familiarity with prompt engineering and evaluation of LLM outputs for correctness and relevance.
Good to Have:
Experience with OpenAI, Anthropic, Cohere, or other commercial LLM APIs.
Exposure to vector databases (e.g., FAISS, Weaviate, Pinecone) for retrieval-augmented generation.
Familiarity with FastAPI, Flask, or other Python web frameworks.
Knowledge of Docker, Kubernetes, and cloud services (AWS/GCP/Azure) for deploying LLM-based solutions.
Contributions to open-source LLM tools or agent frameworks.
Understanding of observability and monitoring for LLM-based systems (e.g., latency tracing, token usage, failures).
Job Classification
Industry: RetailFunctional Area / Department: Engineering - Software & QA, Role Category: Software DevelopmentRole: Search EngineerEmployement Type: Full time