Senior Python Engineer

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

• Strong 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