Technology Lead– Python Automation, AI & DevOps Engineering Experience: 5Years to 8Years
Location- Chennai

Role Summary
We are looking for a hands-on Technology Lead with strong expertise in Python engineering and automation, supported by practical experience in AI/GenAI and DevOps. The role involves leading and mentoring engineers, providing technical direction, reviewing solutions, and resolving complex technical challenges.
Key Responsibilities
Lead and mentor a team of engineers while remaining hands-on in design, development, and troubleshooting.
Design and develop Python applications, REST APIs, automation frameworks, reusable libraries, and engineering utilities.
Identify and implement automation opportunities across development, testing, build, deployment, support, and operational processes.
Establish Python coding standards, reusable patterns, testing practices, and engineering guidelines.
Design and implement AI/GenAI solutions using LLMs, LangChain, LangGraph, RAG, embeddings, and vector search.
Build document ingestion, indexing, retrieval, grounding, and enterprise knowledge-search solutions.
Design and improve CI/CD, source-control, build, deployment, and artifact-management workflows.
Conduct architecture, design, and code reviews to ensure security, scalability, maintainability, and quality.
Lead root-cause analysis and resolve complex technical blockers.
Promote reusable solutions, technical documentation, and knowledge sharing.
Collaborate with product, development, security, support, and infrastructure teams.
Evaluate relevant technologies and develop proofs of concept.
Support Linux-based development environments, including WSL, when required.
Required Skills
Strong hands-on Python development, object-oriented design, REST APIs, debugging, and testing
Automation framework, reusable library, and utility development
Integration with APIs, databases, files, command-line tools, and enterprise systems
AI/LLM application development using LangChain and LangGraph
RAG, embeddings, prompt engineering,



semantic search, and vector-search technologies such as FAISS
Document ingestion, chunking, indexing, retrieval, and grounding
Git/GitHub and CI/CD tools such as Jenkins or GitHub Actions
Maven, JFrog Artifactory, or equivalent build and artifact-management tools
Linux and shell scripting, with working knowledge of PowerShell
Understanding of AI security, privacy, evaluation, and responsible use
Strong architecture, technical leadership, mentoring, and problem-solving skills
Candidate Profile
Strong hands-on experience delivering Python applications and automation solutions
Practical experience developing AI/LLM and RAG solutions using LangChain and LangGraph
Demonstrated technical leadership and mentoring capability
Ability to design reusable solutions and resolve complex technical issues
DevOps and Linux experience is desirable
Selection will be based on relevant skills, hands-on expertise, and role fit rather than a fixed number of years of experience

Technology Analyst – Python Automation, AI & DevOps Engineering

Role Summary
We are looking for a hands-on Technology Analyst with strong Python development and automation skills, supported by practical experience in AI/GenAI and DevOps. The role focuses on building reliable applications, automation tools, and AI-enabled engineering solutions.
Key Responsibilities
Develop Python applications, REST APIs, automation tools, reusable modules, and engineering utilities.
Automate repetitive development, testing, build, deployment, support, and operational activities.
Integrate Python solutions with APIs, databases, files, command-line tools,



and enterprise systems.
Write maintainable, well-tested, and documented code following established engineering standards.
Implement AI/GenAI applications using LLMs, LangChain, LangGraph, RAG, embeddings, and vector search.
Build document ingestion, chunking, indexing, retrieval, and grounding workflows.
Develop and maintain CI/CD, build, deployment, and artifact-management automation.
Troubleshoot application, automation, pipeline, and integration issues.
Perform root-cause analysis and implement sustainable solutions rather than manual workarounds.
Participate in technical design and code reviews.
Contribute to reusable solutions, documentation, and knowledge sharing.
Support Linux-based development environments, including WSL, when required.
Required Skills
Solid hands-on Python development, REST APIs, automation, debugging, and testing
Experience developing reusable modules, utilities, and automation solutions
Integration with APIs, databases, files, and external systems
AI/LLM application development using LangChain and LangGraph
RAG, embeddings, prompt engineering, semantic search, and vector-search technologies such as FAISS
Document ingestion and retrieval workflows
Git/GitHub and CI/CD tools such as Jenkins or GitHub Actions
Maven, JFrog Artifactory, or equivalent tools
Basic Linux and shell-scripting knowledge
Awareness of AI security, privacy, and responsible use
Strong analytical, documentation, communication, and problem-solving skills
Candidate Profile
Strong hands-on Python development and automation skills
Practical experience implementing AI/LLM or RAG solutions using LangChain and LangGraph
Experience with Git and CI/CD workflows
Ability to implement technical designs and troubleshoot issues independently
Linux or WSL experience is desirable but not mandatory
Selection will be based on relevant skills, hands-on expertise, and role fit rather than a fixed number of years of experience

📌 Senior Python DevOps Engineer (Chennai)
🏢 Infosys Finacle
📍 Chennai