Senior AI Engineer - Python
First seen by Alion on Nov 7, 2026.
Company : Techjays.
Experience : 4 - 8 Years.
Location : Coimbatore, Hybrid.
Joining : Immediate or within 30 days preferred.
About The Role :
We are looking for a Senior AI Engineer with strong Python development skills and hands-on experience building and deploying AI-powered applications. The ideal candidate should have practical knowledge of LLMs, Retrieval-Augmented Generation (RAG), vector databases, and scalable backend systems. You will work closely with engineering and product teams to design, develop, and deploy reliable AI solutions for real-world business problems.
Key Responsibilities :
- Design, develop, and maintain scalable backend applications using Python and frameworks such as Django, Flask, or FastAPI.
- Build and integrate AI-powered applications using LLMs, RAG pipelines, and agentic AI workflows.
- Develop document processing, embedding generation, semantic search, and retrieval pipelines.
- Integrate LLM APIs and optimize prompts, response quality, latency, and cost.
- Work with vector databases and relational databases to build efficient data retrieval systems.
- Design and implement REST APIs, asynchronous processing, caching, and queuing mechanisms.
- Apply software engineering best practices, including design patterns, clean code, testing, and version control.
- Deploy and maintain applications on AWS or GCP using Docker and CI/CD pipelines.
- Monitor production systems, troubleshoot issues, and improve application performance and reliability.
- Collaborate with cross-functional teams to translate business requirements into practical AI solutions.
- Contribute to code reviews, technical documentation, and knowledge sharing within the engineering team.
Required Skills :
- 4 - 8 years of experience in software development, with strong hands-on Python expertise.
- Strong understanding of data structures, algorithms, object-oriented programming, and design patterns.
- Experience building backend applications using Django, Flask, or FastAPI.
- Hands-on experience with LLM-based applications and API integrations.
- Practical experience implementing RAG pipelines, embeddings, and semantic search.
- Experience with vector databases such as Pinecone, Qdrant, Weaviate, or Chroma.
- Strong knowledge of SQL and relational databases such as PostgreSQL or MySQL.
- Experience with caching, message queues, asynchronous processing, and WebSockets.
- Familiarity with AWS or GCP, Docker, Git, and CI/CD pipelines.
- Understanding of API design, system architecture, application security, and performance optimization.
- Experience testing, debugging, and maintaining production-grade applications.
Preferred Skills :
- Experience building agentic AI applications and multi-agent workflows.
- Familiarity with LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Knowledge of Model Context Protocol (MCP) and tool-calling mechanisms.
- Experience with LLM evaluation, hallucination reduction, and output quality monitoring.
- Familiarity with fine-tuning, model selection, and inference optimization.
- Experience with LLMOps, AI observability, and production monitoring.
- Knowledge of Kubernetes and microservices architecture.
What We're Looking For :
- Strong problem-solving and analytical skills.
- Ability to take ownership of features from development through deployment.
- Practical understanding of how to build reliable AI applications beyond prototypes.
- Ability to make sound technical decisions and explain architectural trade-offs.
- Good communication and collaboration skills.
- Willingness to learn, experiment, and work on challenging AI engineering problems.
Skills
Artificial Intelligence, Python, Agentic AI, Django, Flask, FastAPI, LangChain, RAG, LLM, System Architecture