We're Hiring: Senior AI Platform Engineer Agentic AI | Autonomous Systems | LLM Engineering | AI Product Development Company: 86 Agency

Experience:
5+ years in software engineering, with significant hands-on AI/LLM engineering experience

Location:
Gurugram, India / Work arrangement to be discussed Employment: Full time About the Opportunity At 86 Agency, we're looking for an exceptional AI Engineer who wants to be part of building the next generation of intelligent software. We're not looking for someone who simply integrates AI APIs, builds basic chatbots, or experiments with prompts. We're looking for an engineer who understands how powerful AI platforms are designed, architected, developed, and scaled. Think of the engineering challenges behind products like Lovable, Emergent, Muse, Cursor, or sophisticated autonomous AI agents. We want someone with the technical depth, curiosity, and ambition to help our team build products of that caliber. You'll work closely with our engineering leadership to research, architect, prototype, and develop AI-powered platforms that can reason, plan, write code, use tools, automate workflows, and solve complex real-world problems. What You'll Be Working On 1.
Autonomous AI Agents: Building intelligent agents capable of planning, reasoning, executing multi-step tasks, using external tools, and recovering from failures. 2.
Multi-Agent Systems: Designing architectures where specialized agents collaborate, coordinate, and execute complex workflows. 3.
AI-Powered Application Builders: Researching and developing systems that transform natural-language instructions into functional applications, workflows, and software components. 4.
AI Coding Agents: Developing capabilities for code generation, repository understanding, editing, debugging, testing, and automated development workflows. 5.
Browser and Computer Automation: Building agents that interact securely with websites, browsers, software environments, and third-party applications. 6.
Intelligent Business Platforms: Creating AI solutions that integrate with enterprise data, APIs, existing business systems, and operational workflows. 7.
AI Infrastructure: Designing the infrastructure required to run reliable, secure, scalable, and cost-efficient AI applications. Technical Skills We're Looking For 1. Strong Software Engineering Fundamentals
• Excellent proficiency in Python.
• Strong experience with backend development, APIs, asynchronous programming, and system architecture.
• Practical knowledge of TypeScript/Node.js and modern web application architectures.
• Understanding of databases, caching, distributed systems, concurrency, and scalable backend design.
• Ability to write clean, maintainable, testable, production-quality code. 2. Deep Understanding of LLMs
• Hands-on experience working with leading commercial and open-source language models.
• Strong understanding of transformers, tokenization, context windows,



embeddings, inference, and model behavior.
• Experience with structured outputs, function calling, tool calling, prompt engineering, and context engineering.
• Practical understanding of RAG, semantic search, hybrid search, and vector databases.
• Knowledge of model evaluation, latency optimization, inference costs, and model selection. 3. Agentic AI and Orchestration
• Experience developing AI agents that interact with tools and external systems.
• Familiarity with LangGraph, LangChain, AutoGen, CrewAI, or comparable orchestration approaches.
• Understanding of agent planning, memory, state management, task decomposition, and workflow execution.
• Experience designing multi-step workflows with retries, checkpoints, human approvals, and recovery mechanisms.
• Familiarity with MCP and agent-to-tool integration patterns. 4. AI Coding and Autonomous Execution
• Experience or strong demonstrable knowledge in areas such as:
• AI-generated code and automated code modification.
• Working with file systems, repositories, terminals, and developer tooling.
• Code execution inside secure, isolated environments.
• Automated testing, debugging, and iterative self-correction.
• Browser automation using Playwright or comparable technologies.
• Sandboxing, containerization, and secure execution of untrusted generated code. 5. AI Platform Architecture and Cloud Engineering
• Experience with AWS, Azure, or Google Cloud.
• Docker, container orchestration, background workers, queues, and deployment pipelines.
• Designing systems for long-running AI tasks, multi-tenancy, and concurrent execution.
• API integrations, identity management, authentication, and authorization.
• Observability, tracing, monitoring, and cost controls.
• Understanding of AI security risks, prompt injection, data isolation, and permission boundaries. 6. AI Evaluation and Reliability
• Ability to build evaluation datasets and automated evaluation pipelines.
• Experience measuring task success, quality, latency, reliability, and cost.
• Understanding of hallucination mitigation, agent failure handling, and regression testing.
• Ability to evaluate whether changes genuinely improve the system rather than merely looking impressive in demos. The Kind of Engineer We Want Beyond technical expertise, we're looking for someone who: Thinks like a product builder: Understands the business problem before choosing the technology. Has strong engineering ownership:



Can take a complex idea from initial research through architecture, development, and production deployment. Is genuinely curious: Constantly explores new AI capabilities, architectures, research, and engineering techniques. Is comfortable with ambiguity: Can investigate problems where established solutions or documentation may not exist. Enjoys difficult technical challenges: Wants to understand how sophisticated AI products work behind the scenes. Makes practical trade-offs: Understands the balance between capability, reliability, performance, security, and cost. Works collaboratively: Can challenge technical decisions constructively, communicate clearly, and build alongside other talented engineers. Is not framework-dependent: Understands the fundamentals well enough to build custom solutions when existing frameworks are insufficient. Bonus Points
• Contributions to open-source AI projects.
• Experience building AI SaaS products used by real customers.
• Prior work on coding agents, autonomous browser agents, or multi-agent systems.
• Experience with model fine-tuning, serving, or optimization.
• Knowledge of PyTorch, Hugging Face, vLLM, or other ML infrastructure.
• Experience with real-time multimodal AI applications.
• Strong understanding of developer tools, IDE integrations, or code intelligence.
• Prior experience working in an early-stage AI product company. What Success Looks Like First 30 days
• Understand the existing engineering ecosystem and AI product ambitions.
• Assess relevant AI frameworks, models, tools, and architectural options.
• Develop working technical prototypes and recommend a practical architecture. First 60 days
• Build core AI capabilities, orchestration components, and tool integrations.
• Establish evaluation, monitoring, security, and reliability practices.
• Collaborate with frontend, backend, and DevOps engineers on integrated workflows. First 90 days
• Own a meaningful end-to-end AI capability within a working product.
• Demonstrate measurable improvements in functionality, reliability, performance, or cost.
• Help establish reusable technical foundations for future AI products.

How to Apply
We're interested in what you've actually built, not just the technologies listed on your resume. Please share:
• Your resume and GitHub profile or technical portfolio.
• Details of two technically challenging AI projects you've worked on.
• Your specific contributions, architectural decisions, and engineering challenges.
• Any live AI products, open-source contributions, or technical demonstrations.
• Be prepared to discuss how you would approach the architecture of a sophisticated AI agent or AI-powered application builder. If you're excited about building the technology behind the next generation of AI products, we'd love to hear from you. Send your application to: [email protected]

📌 Senior AI Platform Engineer || Immediate Joiner (Gurugram)
🏢 86 Agency
📍 Gurugram