Job Description: Senior AI/ML Developer – Agentic AI (4+ Years Experience)Position: Senior AI/ML Developer – Agentic AIExperience: 4+ YearsLocation: MohaliWork Mode: OnsiteEmployment Type: Full-TimeAbout the RoleWe are looking for a highly skilled AI/ML Developer with strong experience in Agentic AI, Large Language Models (LLMs), and Generative AI application development. The ideal candidate will have hands-on experience designing intelligent AI agents, multi-agent systems, workflow orchestration, and production-grade AI applications that leverage LLMs to automate complex business processes.You will work on building next-generation AI solutions involving autonomous agents, reasoning systems, Retrieval-Augmented Generation (RAG), tool calling, workflow automation, and enterprise AI applications.Key ResponsibilitiesDesign, develop, and deploy Agentic AI solutions for enterprise use cases.Build AI agents capable of reasoning, planning, memory management, and tool usage.Develop single-agent and multi-agent systems using modern AI frameworks.Design and implement RAG pipelines using vector databases and knowledge retrieval systems.Build conversational AI assistants, workflow automation agents, and domain-specific copilots.Integrate LLMs with external tools, APIs, databases, and enterprise applications.Develop and maintain scalable backend services for AI applications.Evaluate and optimize agent performance, accuracy, latency, and cost.Implement agent memory, state management, and human-in-the-loop workflows.Collaborate with product, engineering, and business teams to deliver AI-driven solutions.Stay current with advancements in Agentic AI, LLMs, and Generative AI technologies.Required Technical Skills
- Programming & Software Development
- Strong proficiency in Python.
- Experience with FastAPI, Flask, or similar backend frameworks.
- Strong understanding of software design patterns and system architecture.
- Experience with REST APIs and microservices.
- Agentic AI & Generative AI
- 4+ years of AI/ML development experience with at least 2+ years in Generative AI.
- Hands-on experience building AI Agents and Agent Workflows.
Strong understanding of:Agent ArchitecturesReAct PatternFunction CallingTool CallingPlanning & Execution AgentsReflection and Self-Correction TechniquesHuman-in-the-Loop SystemsAgent Memory ManagementFrameworks & LibrariesLangGraphLangChainCrewAIAutoGenLlamaIndexOpenAI APIsHugging Face TransformersLLM & RAG DevelopmentPrompt EngineeringRAG ArchitectureHybrid SearchSemantic SearchKnowledge Graph IntegrationContext ManagementFine-tuning and Evaluation of LLM ApplicationsVector DatabasesPineconeChromaDBFAISSWeaviateQdrantMLOps & DeploymentDockerKubernetesGit/GitHubCI/CD PipelinesMLflowModel Monitoring and EvaluationCloud PlatformsAWS, Azure, or GCPPreferred Qualifications
- Experience building production-grade AI copilots and enterprise assistants.
- Experience with MCP (Model Context Protocol) servers and integrations.
- Knowledge of GraphRAG and Knowledge Graph-based retrieval systems.
- Experience integrating AI systems with CRM, ERP, HRMS, and internal business platforms.
- Familiarity with AI observability tools such as LangSmith, Helicone, Arize, or Phoenix.
- Experience with workflow orchestration tools and event-driven architectures.
- Understanding of AI safety, guardrails, and governance frameworks.
- Desired Project Experience
Candidates should have worked on one or more of the following:
- AI Interview Assistants
- Customer Support Agents
- HR Recruitment Agents
- Sales Copilots
- Knowledge Management Assistants
- Document Intelligence Systems
- Multi-Agent Research Systems
- Workflow Automation Agents
- Enterprise Search Platforms
- Autonomous Task Execution Systems
Soft Skills
- Strong problem-solving and analytical mindset.
- Excellent communication and stakeholder management skills.
- Ability to independently own and deliver AI projects.
- Strong debugging and troubleshooting skills.
- Passion for learning emerging AI technologies.
- Nice to Have
- Contributions to open-source Agentic AI projects.
- Experience mentoring AI engineers.
- Technical blogging, speaking engagements, or AI community participation.
- Experience with reinforcement learning concepts and agent evaluation frameworks.
Pay: ₹50,000.00 - ₹110,000.00 per month
Benefits:
- Health insurance
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
