{"id":3322500,"url":"https://alion.io/job/c5i-team-lead-python-agentic-ai","title":"Team Lead - Python & Agentic AI","company":{"id":3800782,"name":"C5i","domain":"c5i.ai","url":"https://alion.io/company/c5i","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":68000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI 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be responsible for designing scalable AI applications, guiding engineering teams, establishing development best practices, and collaborating with cross-functional stakeholders to deliver reliable, production-ready solutions.\n\nKey Responsibilities :\n\n- Lead the design, development, and deployment of Python-based AI applications and backend services.\n\n- Design and implement Agentic AI solutions and multi-agent architectures using LLMs, LangGraph, MCP, and related frameworks.\n\n- Build agent workflows involving tool calling, orchestration, memory, APIs, and external system integrations.\n\n- Apply prompt engineering, Retrieval-Augmented Generation (RAG), and other AI techniques to develop effective AI workflows.\n\n- Drive technical architecture, code reviews, coding standards, testing, and software engineering best practices.\n\n- Troubleshoot complex technical issues and support the resolution of production incidents.\n\n- Collaborate with DevOps teams on containerization, deployments, CI/CD pipelines, monitoring, and production support.\n\n- Mentor developers, conduct knowledge-sharing sessions, and support the technical growth of the engineering team.\n\n- Work closely with Product, QA, Analytics, and other stakeholders to ensure quality and timely delivery.\n\n- Participate in sprint planning, effort estimation, architecture discussions, and technical decision-making.\n\nRequired Skills and Qualifications :\n\n- 6 - 10 years of software development experience with strong hands-on expertise in Python.\n\n- Practical experience developing Agentic AI and LLM-based applications.\n\n- Strong hands-on experience with LangGraph and Model Context Protocol (MCP).\n\n- Experience designing multi-agent architectures, agent workflows, and orchestration mechanisms.\n\n- Good understanding of LLMs, prompt engineering, tool calling, RAG, and AI application development.\n\n- Experience with FastAPI, REST APIs, and databases such as PostgreSQL.\n\n- Working knowledge of Docker, Kubernetes, Git, CI/CD, and cloud environments.\n\n- Strong debugging, analytical, and problem-solving skills.\n\n- Good understanding of Agile methodologies and the software development lifecycle (SDLC).\n\n- Strong technical leadership, communication, mentoring, and stakeholder-management skills.\n\n- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.\n\nGood to Have :\n\n- Experience with LangChain and observability or evaluation tools such as Langfuse or LangSmith.\n\n- Familiarity with vector databases and AI evaluation techniques.\n\n- Experience working with AWS, Azure, or Google Cloud Platform.\n\n- Exposure to enterprise SaaS or analytics applications.\n\n- Knowledge of application security, authentication, and authorization.\n\nKey Focus Areas :\n\n- Development of scalable Python-based AI applications.\n\n- Design and implementation of Agentic AI and multi-agent systems.\n\n- Technical leadership, 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