[Hiring] Senior AI & Agentic System Engineer @Alternative Path Private Limited

Role Description

We are looking for a Senior AI & Agentic System Engineer to design and build production-grade AI agents that can reason, use tools, interact with APIs, and execute complex multi-step workflows. You’ll work at the intersection of LLM engineering, agent architecture, backend systems, and cloud infrastructure, with significant ownership over architecture, reliability, evaluation, and scalability.

Qualifications

• 5+ years of software/backend engineering experience with strong system-design expertise.
• Hands-on experience building production AI agents, beyond basic chatbot implementations.
• Strong experience with at least one major LLM provider SDK: OpenAI, Anthropic, or Gemini.
• Strong understanding of prompt engineering, tool/function calling, structured outputs, context management, and token optimization.
• Experience with agent frameworks/patterns such as LangGraph, CrewAI, AutoGen, ReAct, or plan-and-execute.
• Strong Python and/or Node.js/TypeScript development skills.
• Experience with RAG, embeddings, vector databases, hybrid retrieval, and reranking.
• Strong knowledge of REST/GraphQL APIs, asynchronous processing, databases, and distributed systems.
• Hands-on AWS experience, particularly Lambda, ECS/Fargate, API Gateway, S3, SQS, SNS/EventBridge, IAM, and CloudWatch.
• Experience with Docker, GitHub Actions, and Terraform.
• Understanding of AI security, including prompt injection, guardrails, output validation, and safe tool execution.
• Experience with tools such as Langfuse, LangSmith, Helicone, or Arize Phoenix, RAGAS, DeepEval, Promptfoo, or Braintrust.
• Experience with LLM tracing, behavioral evaluations, regression testing, and cost monitoring.

Requirements

• Design and build autonomous AI agents capable of tool use, web/API interaction, memory, and multi-step task execution.
• Architect agentic workflows including planner/executor/verifier, multi-agent, HITL, retry, and failure-recovery patterns.
• Integrate LLM providers such as OpenAI, Anthropic, and Gemini, including structured outputs, function calling, context management, and prompt optimization.
• Build RAG and knowledge pipelines using embeddings, vector databases, hybrid search, reranking, and agent memory.
• Develop scalable backend services using Python and/or Node.js/TypeScript, REST/GraphQL APIs, async processing, and background jobs.
• Design reliable distributed systems with appropriate patterns for state persistence, caching, idempotency, event-driven workflows, and fault tolerance.
• Build observability and evaluation frameworks for AI systems, including tracing, behavioral regression testing, latency, quality, and token-cost monitoring.
• Own CI/CD and cloud deployments across development, staging, and production environments.
• Evaluate emerging technologies such as MCP, A2A, reasoning models, and agent frameworks and recommend practical adoption.

Benefits

• Remote position.
• Flexible working hours.
• Opportunity to work with cutting-edge AI technologies.

Company Description

General company description goes here.