MADURAI · FULLTIME
Python Tech Lead
Reqroots
Madurai · onsite · Posted 3d ago
Sourced from
Undisclosed6–10 yrsfulltimeMadurai
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Section · 01
About this role
Job Summary
Location
Employment Type
Experience
Team
Key Responsibilities
Skills Requirements
Core Python AI Frameworks
Agentic AI Specific Modules
LLM Model Integration
Vector Databases Retrieval
Additional AI/ML Frameworks
Data Integration
DevOps Production
Qualifications
Soft Skills
Nice to Have
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
We are seeking an experienced Python Tech Lead / Associate Manager to lead our AI development initiatives, with deep expertise in building production-grade agentic AI systems using LangChain, LangGraph, and related frameworks. This role combines technical leadership with hands-on development, requiring someone who can architect complex AI solutions while mentoring a team of developers.
Location
Chennai
Employment Type
Full-time
Experience
6-10 years
Team
Leading a team of 3-7 developers
Key Responsibilities
- Technical Leadership Architect and design scalable agentic AI systems using LangChain and LangGraph frameworks
- Lead the development of autonomous AI agents with multi-step reasoning and decision-making capabilities
- Establish best practices for prompt engineering, agent orchestration, and AI system reliability
- Drive technical decisions on framework selection, tool integration, and system architecture
- Conduct code reviews and ensure high-quality, maintainable codebases
- Hands-on Development Build complex agent workflows using LangGraphs state machines and conditional logic
- Implement multi-agent systems with tool calling, memory management, and retrieval mechanisms
- Develop custom chains, agents, and tools within the LangChain ecosystem
- Optimize LLM performance through prompt tuning, caching strategies, and efficient API usage
- Integrate vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines
- Team Management Mentor and guide a team of 3-7 developers in AI/ML development practices
- Facilitate knowledge sharing sessions on agentic AI patterns and emerging technologies
- Coordinate sprint planning, task allocation, and delivery timelines
- Foster a culture of innovation and continuous learning within the team
Skills Requirements
Core Python AI Frameworks
- 6+ years of Python development experience with strong expertise in async programming, type hints, and modern Python patterns
- Experience delivering projects using GenAI, Agentic AI, LLMs, or Transformer models and Agentic AI based solutions
- Strong proficiency in AI/ML engineering or software development using Python and its frameworks
- Familiarity with SQL, NoSQL, and data warehousing solutions and ability to analyze complex datasets and derive meaningful conclusions
- Understanding of CI/CD pipelines, Docker, and Kubernetes for AI model deployment
- Exposure to vector databases and RAG architectures for enterprise knowledge retrieval
- Exposure to MCP and Agent to Agent Communication
- 2+ years hands-on experience with LangChain and LangGraph building production applications
- Deep understanding of agentic AI architectures including ReAct, Plan-and-Execute, and Reflection patterns
- Experience with LangChain Expression Language (LCEL) for chain composition
- Experience with developing and maintaining FastAPI projects with React Framework
Agentic AI Specific Modules
- LangGraph: StateGraph, MessageGraph, conditional edges, human-in-the-loop patterns, checkpointing and persistence
- LangChain Core: Agents (OpenAI Functions, Structured Chat, ReAct), Tools, Toolkits, Memory systems (ConversationBufferMemory, ConversationSummaryMemory, VectorStoreMemory)
- LangChain Callbacks: Custom callback handlers, tracing, logging, and observability
- Agent Executors: AgentExecutor configuration, error handling, and timeout management
- Multi-Agent Systems: Agent coordination, communication protocols, task delegation
LLM Model Integration
- Experience with OpenAI GPT-4/GPT-3.5, Anthropic Claude, or open-source models (Llama, Mistral)
- Understanding of model selection, cost optimization, and fallback strategies
- Prompt engineering expertise including few-shot learning, chain-of-thought prompting
- Experience with function calling and structured outputs from LLMs
Vector Databases Retrieval
- Hands-on experience with vector databases: Pinecone, Weaviate, Chroma, or FAISS
- Implementation of RAG pipelines with document chunking, embedding generation, and similarity search
- Knowledge of semantic search, hybrid search, and re-ranking techniques
- Experience with embedding models (OpenAI embeddings, Sentence Transformers, Cohere)
Additional AI/ML Frameworks
- LlamaIndex for advanced data indexing and querying
- Haystack or Semantic Kernel as alternative orchestration frameworks
- Hugging Face Transformers for custom model integration
- MLflow or Weights Biases for experiment tracking
Data Integration
- API integration experience (REST, GraphQL, webhooks)
- Frameworks: FastAPI
- Document processing: PDF parsing, OCR, web scraping (Beautiful Soup, Scrapy)
- Database expertise: PostgreSQL, MongoDB, Redis for caching and session management
- Message queues: RabbitMQ, Kafka for asynchronous agent communication
DevOps Production
- Docker and Kubernetes for containerization and orchestration
- CI/CD pipelines (Azure Devops, GitHub Actions, GitLab CI, Jenkins)
- Cloud platforms: AWS (Lambda, ECS, SageMaker), GCP, or Azure
- Monitoring and observability: LangSmith, Prometheus, Grafana, or Datadog
- Experience with LLM observability tools: Helicone, LangSmith, or Weights Biases
Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, or related field
- Experience building production AI applications with measurable business impact
- Strong understanding of software design patterns and clean architecture principles
- Familiarity with testing frameworks for AI systems (pytest, unit testing for agents)
- Knowledge of security best practices for AI applications (prompt injection prevention, PII handling)
- Experience with streaming responses and real-time agent interactions
- Understanding of token optimization and cost management strategies
- Previous experience in a tech lead or team lead capacity
Soft Skills
- Excellent problem-solving abilities with a systematic approach to debugging complex agent behaviors
- Strong communication skills to explain technical concepts to non-technical stakeholders
- Ability to balance technical excellence with practical business needs
- Collaborative mindset with experience working in cross-functional teams
- Adaptability to rapidly evolving AI technologies and frameworks
Nice to Have
- Contributions to open-source AI projects or LangChain ecosystem
- Experience with fine-tuning LLMs or building custom models
- Knowledge of AI safety, alignment, and responsible AI practices
- Experience with graph databases (Neo4j) for knowledge graph applications
- Familiarity with AutoGPT, BabyAGI, or similar autonomous agent frameworks
- Understanding of reinforcement learning from human feedback (RLHF)
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Azure DevopsclaudeCI/CD Pipelinesasync programmingai developmentai modelai frameworkscachingamazon web servicesai technologiesAzure MonitoringBeautiful SoupAsynchronousArchitectureAi SolutionsMicrosoft AzureAPI IntegrationArtificial IntelligenceAnthropic SDK
Section · Company
About Reqroots
Reqroots
Recruitment
10
employees
2019
7 years old
Coimbatore, Tamil Nadu
headquarters
₹10.1L PA avg
Avg at Reqroots
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