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Sr. AI Engineer - 2.00 pm to 11.00 pm IST (Remote, IND)

India - Remote🌐 Remote💼 Full-time🗓 2026-07-17 → 2026-07-30

Core

Build and own the full lifecycle of agentic AI solutions, including LLM-powered workflows, autonomous agents, and multi-agent systems, integrating them with Salesforce and other platforms to accelerate go-to-market operations.

Role type

Senior IC hybrid AI Engineer (Dev + DevOps)

Builds

Production-grade agentic AI workflows, autonomous agents, and event-driven architectures for Salesforce and GTM applications.

Domain

Cybersecurity / Go-to-Market IT / Agentic AI

Deliverable

production ML models | product features | infrastructure

Required skills

Python, TypeScript/JavaScript, agentic AI frameworks (LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, LangChain), Salesforce development (Apex, LWC, Agentforce), CI/CD pipelines, container orchestration (Docker, Kubernetes), vector databases (Pinecone, pgvector, Weaviate), DevSecOps practices

Preferred skills

Salesforce Platform Developer II or Application Architect certification, Slack app development, open-source AI contributions, fine-tuning or RLHF experience, model routing platform design, platform engineering or SRE background

Technologies

Agentcore, Slack, Model Context Protocols (MCPs), LangChain, LangGraph, Salesforce Apex, Lightning Web Components, Platform Events, Agentforce, Terraform, CDK, AWS Bedrock, Vertex AI, GitHub Actions, Jenkins, Copado, Docker, Kubernetes, Pinecone, pgvector, Weaviate, LiteLLM, OpenRouter

Responsibilities

Lead engineering delivery for agentic AI capabilities across GTM stakeholders; Design and build LLM-powered workflows and autonomous agents; Define scalable enterprise AI architecture patterns; Design and optimize RAG systems and semantic search pipelines; Build and maintain Salesforce Apex and Lightning Web Components; Build and operate platform observability stacks; Implement DevSecOps and evaluation frameworks; Define error handling and fallback strategies for non-deterministic AI systems; Retire legacy integrations and replace with modern agentic architectures; Champion engineering excellence through code reviews and capacity planning; Evaluate AI vendors and platforms with a build-vs-buy mindset.

Seniority

Senior, hands-on IC

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