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
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Lead and mentor a team of engineers while remaining hands-on in design, development, and troubleshooting.
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Design and develop Python applications, REST APIs, automation frameworks, reusable libraries, and engineering utilities.
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Identify and implement automation opportunities across development, testing, build, deployment, support, and operational processes.
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Establish Python coding standards, reusable patterns, testing practices, and engineering guidelines.
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Design and implement AI/GenAI solutions using LLMs, LangChain, LangGraph, RAG, embeddings, and vector search.
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Build document ingestion, indexing, retrieval, grounding, and enterprise knowledge-search solutions.
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Design and improve CI/CD, source-control, build, deployment, and artifact-management workflows.
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Conduct architecture, design, and code reviews to ensure security, scalability, maintainability, and quality.
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Lead root-cause analysis and resolve complex technical blockers.
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Promote reusable solutions, technical documentation, and knowledge sharing.
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Collaborate with product, development, security, support, and infrastructure teams.
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Evaluate relevant technologies and develop proofs of concept.
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Support Linux-based development environments, including WSL, when required.
Required Skills
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Strong hands-on Python development, object-oriented design, REST APIs, debugging, and testing
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Automation framework, reusable library, and utility development
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Integration with APIs, databases, files, command-line tools, and enterprise systems
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AI/LLM application development using LangChain and LangGraph
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RAG, embeddings, prompt engineering, semantic search, and vector-search technologies such as FAISS
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Document ingestion, chunking, indexing, retrieval, and grounding
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Git/GitHub and CI/CD tools such as Jenkins or GitHub Actions
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Maven, JFrog Artifactory, or equivalent build and artifact-management tools
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Linux and shell scripting, with working knowledge of PowerShell
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Understanding of AI security, privacy, evaluation, and responsible use
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Strong architecture, technical leadership, mentoring, and problem-solving skills
Candidate Profile
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Strong hands-on experience delivering Python applications and automation solutions
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Practical experience developing AI/LLM and RAG solutions using LangChain and LangGraph
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Demonstrated technical leadership and mentoring capability
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Ability to design reusable solutions and resolve complex technical issues
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DevOps and Linux experience is desirable
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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
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Develop Python applications, REST APIs, automation tools, reusable modules, and engineering utilities.
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Automate repetitive development, testing, build, deployment, support, and operational activities.
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Integrate Python solutions with APIs, databases, files, command-line tools, and enterprise systems.
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Write maintainable, well-tested, and documented code following established engineering standards.
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Implement AI/GenAI applications using LLMs, LangChain, LangGraph, RAG, embeddings, and vector search.
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Build document ingestion, chunking, indexing, retrieval, and grounding workflows.
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Develop and maintain CI/CD, build, deployment, and artifact-management automation.
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Troubleshoot application, automation, pipeline, and integration issues.
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Perform root-cause analysis and implement sustainable solutions rather than manual workarounds.
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Participate in technical design and code reviews.
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Contribute to reusable solutions, documentation, and knowledge sharing.
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Support Linux-based development environments, including WSL, when required.
Required Skills
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Strong hands-on Python development, REST APIs, automation, debugging, and testing
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Experience developing reusable modules, utilities, and automation solutions
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Integration with APIs, databases, files, and external systems
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AI/LLM application development using LangChain and LangGraph
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RAG, embeddings, prompt engineering, semantic search, and vector-search technologies such as FAISS
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Document ingestion and retrieval workflows
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Git/GitHub and CI/CD tools such as Jenkins or GitHub Actions
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Maven, JFrog Artifactory, or equivalent tools
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Basic Linux and shell-scripting knowledge
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Awareness of AI security, privacy, and responsible use
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Strong analytical, documentation, communication, and problem-solving skills
Candidate Profile
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Strong hands-on Python development and automation skills
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Practical experience implementing AI/LLM or RAG solutions using LangChain and LangGraph
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Experience with Git and CI/CD workflows
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Ability to implement technical designs and troubleshoot issues independently
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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
