Top Skills:
Data GovernancePythonContract ManagementComplianceOrchestrationCodingAutomationSystem DesignSolution ArchitectDesign LeadAiApiArchitectureAzureCachingComplianceData GovernanceDistillationElasticsearchEnterpriseMicroservicesMitigationNlpPythonRbac
- Architect and implement enterprise-grade LLM/agent systems in Python using frameworks such as Autogen , SemanticKernel , and LangGraph .
- Design durable agentic workflows and orchestration using Temporal (workflows, activities, signals, retries, long-running transactions).
- Build complex business software integrations (transactional flows, auditability, RBAC, idempotency) that agents operate within and act upon.
- Deploy and manage LLMs on Azure AI / Azure OpenAI: inference, scaling, cost/latency SLAs, caching, model routing.
- Design Retrieval-Augmented Generation ( RAG ) pipelines, embedding stores and vector DB integrations (Elasticsearch).
- Implement safe tool/function-calling patterns and secure adapters to external systems (APIs, DBs, messaging).
- Ensure model & agent safety, hallucination mitigation, bias controls, data governance and compliance.
- Mentor teams; conduct architecture reviews, design docs and runbooks for production readiness.
Design and Architecture with hands on coding.
BE.
- Expert Python (production systems) and strong software architecture (DDD, microservices, event-driven, transactional patterns).
- Hands-on LLM/agent experience: Autogen, LangGraph, or equivalent agent frameworks.
- Proven experience building durable workflows with Temporal .
- Experience deploying/operating LLMs on Azure AI / Azure OpenAI .
- RAG, embeddings and vector DB experience.
- Familiarity with function-calling / tool integration patterns and secure API adapters.
- Strong leadership, communication and system-design skills.
Preferred Qualifications:
- Advanced degree in CS/AI/ML or related.
- Experience in NLP, RL, or production model optimization (quantization, distillation, batching).
- Experience with enterprise security, privacy and compliance for AI.
Disclaimer: This job posting 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.
Lead Software Engineer, ML Engineering
Icertis
naukri
Pune
2-7 years Not Disclosed
Full time
30 April 2026
Top Skills:
Data GovernancePythonContract ManagementComplianceOrchestrationCodingAutomationSystem DesignSolution ArchitectDesign LeadAiApiArchitectureAzureCachingComplianceData GovernanceDistillationElasticsearchEnterpriseMicroservicesMitigationNlpPythonRbac
96
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Job Description
Download Resume- Architect and implement enterprise-grade LLM/agent systems in Python using frameworks such as Autogen , SemanticKernel , and LangGraph .
- Design durable agentic workflows and orchestration using Temporal (workflows, activities, signals, retries, long-running transactions).
- Build complex business software integrations (transactional flows, auditability, RBAC, idempotency) that agents operate within and act upon.
- Deploy and manage LLMs on Azure AI / Azure OpenAI: inference, scaling, cost/latency SLAs, caching, model routing.
- Design Retrieval-Augmented Generation ( RAG ) pipelines, embedding stores and vector DB integrations (Elasticsearch).
- Implement safe tool/function-calling patterns and secure adapters to external systems (APIs, DBs, messaging).
- Ensure model & agent safety, hallucination mitigation, bias controls, data governance and compliance.
- Mentor teams; conduct architecture reviews, design docs and runbooks for production readiness.
Design and Architecture with hands on coding.
BE.
- Expert Python (production systems) and strong software architecture (DDD, microservices, event-driven, transactional patterns).
- Hands-on LLM/agent experience: Autogen, LangGraph, or equivalent agent frameworks.
- Proven experience building durable workflows with Temporal .
- Experience deploying/operating LLMs on Azure AI / Azure OpenAI .
- RAG, embeddings and vector DB experience.
- Familiarity with function-calling / tool integration patterns and secure API adapters.
- Strong leadership, communication and system-design skills.
Preferred Qualifications:
- Advanced degree in CS/AI/ML or related.
- Experience in NLP, RL, or production model optimization (quantization, distillation, batching).
- Experience with enterprise security, privacy and compliance for AI.
Disclaimer: This job posting 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.