Website:
allneurons.ai
Job details:
Company Description:
allNeurons is an Enterprise AI Operating System that helps organizations turn AI investments into measurable business outcomes across engineering, finance, legal, compliance, and other functions. The platform enables teams to track AI adoption, usage, spend, and impact, and to connect AI activity directly to completed work such as pull requests, contracts, reports, and reconciliations. allNeurons supports deploying custom AI agents to automate operational workflows while providing audit-ready reporting and executive visibility for governance. It integrates with over 1,000 tools, including GitHub, Jira, Microsoft 365, SharePoint, Slack, ERP platforms, and other enterprise applications, without disrupting existing workflows. Organizations use allNeurons to scale AI, standardize operations, and manage AI initiatives with confidence on a single platform.
Location: Gurgaon (On-Site)
Work Hours: 01 : 00 PM - 10 : 00 PM (IST) (Monday-Friday)
Job Type: Full Time Contract Role
Why Us?
We are building AI powered agents that bring RoI based impact to enterprise. We help customers track the impact of their AI spend.
In cases where customers cannot get impact from their AI investments we offer pre-built, customizable agents all adaptable to their own playbooks and tools, deployable in minutes not months. Further, we allow teams to build their own agents rather than relying on others to build them- this means you will be building the last piece of software using AI agents.
Role Overview :
Were hiring a Tech Lead / Engineering Architect to lead the design, development, and scaling of our AI-native platform.
You will :
- Translate broad customer requirements into scalable, modular engineering components that engineers in a team can execute along with AI coding agents.
- Lead and mentor a team of junior-to-mid-level engineers to build reliable systems with best practices in logging, measurement, observability, and debugging.
- Drive architectural decisions ensuring performance, scalability, and maintainability of core services.
- Champion AI-native development, training engineers to adopt AI tools and workflows to accelerate delivery.
- Collaborate closely with product, design, and legal experts to deliver features customers love and trust.
- As an early-stage startup (team of <20), your impact will be direct and highly visible. Youll not only lead engineering execution but also shape culture, standards, and the future of allNeuron's technical foundation.
What You'll Do :
- Technical Leadership : Break down ambiguous customer needs into clear technical deliverables, architecture, and roadmaps.
- People Management : Coach, mentor, and upskill engineers, with a focus on adopting AI-native workflows and modern engineering practices.
- Execution : Own delivery of core platform components (agent builder, integrations, analytics, debugging tools) from concept to production.
- Quality & Reliability : Ensure systems are built with robust monitoring, error-handling, and performance measurement.
- Collaboration : Partner with product and legal SMEs to co-design solutions and iterate quickly with customer feedback.
- Innovation : Explore, prototype, and integrate cutting-edge AI tooling to continuously improve developer productivity and product capabilities.
What You Have (Mandatory) :
- Minimum 6+ years of experience in software engineering, with at least 3 years leading teams or projects.
- Proven ability to translate product/market requirements into technical architectures.
- Strong coding and system design experience (SaaS or enterprise-scale preferred).
- Experience managing, mentoring, and growing junior/mid-level engineers.
- Fluency in building scalable systems with logging, monitoring, and debugging best practices.
- Familiarity with AI/LLM-powered workflows and willingness to train others on adoption.
- Startup mindset : comfortable with ambiguity, fast iteration, and wearing multiple hats.
Bonus Points :
- Hands-on experience with AI-native development (LangChain, CrewAI, RAG systems, LLM evaluation).
- Early-stage startup experience scaling teams from 0-20 engineers.
- Strong background in enterprise SaaS, legal tech, or workflow automation platforms.
- Familiarity with security, compliance, and privacy laws (GDPR, CCPA, DPDPA).
Tech stack :
- Building on top of Claude Code and other cloud technologies
- Understanding of React, Django, FastAPi, vLLM
- Deep understanding of Agentic AI implementation of tools, MCP and Opentelemetry.
- Languages : Python, C#/Java, TypeScript
Compensation & Culture :
- Best-in-class early-stage package : Competitive Compensation.
- Small team (20 people max) = high visibility, high ownership.
- Inclusive, mission-driven culture : we value diversity, collaboration, and curiosity.
Click on Apply to know more.