Senior Python and LLM Developer

Mphasis (London, UK) Follow 15 hours ago

Full-time

We're Hiring: Senior Python & LLM Developer (10+ Years Experience)

Are you passionate about building intelligent systems powered by Large Language Models (LLMs), Agentic AI, RAG Architectures, and Conversational AI?

We are looking for a highly skilled Senior Python & LLM Developer to join our AI engineering team and help shape the next generation of AI-driven products. This is an exciting opportunity to work on cutting-edge technologies including LangChain, LangGraph, Agentic Frameworks, RAG Pipelines, Vector Databases, Knowledge Graphs, and Cloud AI Services.

What You'll Do

As a Senior Python & LLM Developer, you will play a critical role in designing, building, and deploying enterprise-grade AI solutions that solve complex business challenges.

Key Responsibilities

Develop and deploy advanced AI/ML solutions leveraging LLMs, NLP, and Agentic AI frameworks

Design and implement sophisticated Retrieval-Augmented Generation (RAG) architectures to deliver accurate, context-aware AI experiences

Build intelligent, stateful AI agents and multi-agent workflows using LangChain, LangGraph, StateGraph, CrewAI, LlamaIndex, and similar frameworks

Develop scalable backend services and high-performance APIs using Python, FastAPI, HTTP, and gRPC

Create next-generation conversational AI platforms, chatbots, and virtual assistants through advanced prompt engineering and agent orchestration

Integrate AI applications with SQL, NoSQL, Vector Databases, Knowledge Graphs, and third-party systems

Implement MLOps best practices and contribute to CI/CD pipelines using Docker, Kubernetes, and Cloud Platforms

Collaborate with Data Scientists, Architects, Product Managers, and Engineering teams to deliver innovative AI solutions

Stay at the forefront of emerging AI technologies and drive innovation across the organization

Must-Have Skills

10+ years of professional software development experience with strong expertise in Python

Extensive hands-on experience with:

LangChain
LangGraph
StateGraph
LlamaIndex
CrewAI
Agentic AI Frameworks

Proven experience designing and implementing RAG (Retrieval-Augmented Generation) solutions

Strong expertise in:

Prompt Engineering
Conversational AI
NLP Applications
AI Agent Development

Experience building scalable APIs using FastAPI

Strong understanding of:

HTTP & gRPC
Docker & Kubernetes
MLOps & AI Deployment
Cloud AI Services (AWS, Azure, or GCP)

Experience deploying production-grade AI solutions on enterprise platforms

Nice to Have

Experience with Vector Databases:

Pinecone
Chroma
FAISS

Experience with Knowledge Graph technologies:

Neo4j
RDF
Graph Databases

Exposure to additional languages such as Java, C#, or JavaScript

Open-source contributions, AI research, publications, or GitHub projects

Qualifications

Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Demonstrable portfolio of AI, NLP, LLM, or Agentic AI projects

Preferred Certifications

AWS / Azure / GCP Cloud Certifications

AI / Machine Learning Certifications

Why Join Us?

Work on cutting-edge Generative AI and Agentic AI initiatives

Build large-scale enterprise AI applications used by global customers

Collaborate with top AI Engineers, Data Scientists, and Architects

Influence technical direction and AI strategy

Continuous learning and exposure to the latest advancements in LLMs, RAG, Agents, and AI Platforms

Opportunity to solve real-world business problems using transformative AI technologies

Ready to build the future of AI?

If you're excited about LLMs, Agentic AI, RAG, Conversational AI, Knowledge Graphs, and scalable AI platforms, we'd love to connect with you.

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