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Full Stack AI Engineer

Full Stack AI Engineer at Beyond Technologies Private Limited · Remote only · 3 - 6 years · ₹12L - ₹18L / yr · Bootstrapped · Remote only · Posted 10 Sep 2026

Beyond Technologies Private Limited's logo

Full Stack AI Engineer

Beyond Technologies's profile picture
Posted by Beyond Technologies
3 - 6 yrs
₹12L - ₹18L / yr
Remote only
Skills
skill iconPython
Agentic AI

Job Title: Full Stack AI Engineer

Location: Remote/Hyderabad

Experience Level: 3-5

Salary Range: 12-18LPA

Application Link:https://beyond.ciltriq.com/apply/BUILD


Description:

Join a team building AI-powered systems that solve complex business problems and automate operational workflows across document processing, voice agents, enterprise integrations, workflow automation, and multi-agent systems.


Strong full-stack foundations: frontend state management, asynchronous user experiences and performance; backend API design, authentication, data modelling, databases, queues and distributed systems.


Strong coding ability in Python and JavaScript or TypeScript, with practical experience in modern frontend frameworks and backend services.


Requirements:

- Design and build complete systems: frontend applications, backend services, APIs, databases, data pipelines and integrations with customer systems.

- Build multi-agent workflows with clear agent responsibilities, tool access, shared state, context management, routing, handoffs and coordination across sequential and parallel tasks.

- Make agent execution dependable through durable state, checkpoints, retries, timeouts, idempotency, recovery and human approval or review where needed.

- Deliver document-processing pipelines, voice agents and retrieval-based AI applications, connecting model outputs to useful actions in real business workflows.

- Own quality in production: automated tests, AI evaluations, guardrails, observability, access controls, deployments, incident response and clear documentation.

- Choose where AI adds value and where deterministic software is the better fit. Balance accuracy, latency, cost, security and maintainability.

- Improve reusable engineering foundations, review code and help other engineers grow as the team expands.

- A solid understanding of tool calling, structured outputs, retrieval, context and memory management, model selection and evaluation.

- Practical cloud and deployment experience, including containers, CI/CD, secrets management, logging, monitoring and production debugging.

- Ability to reason from first principles, investigate failures across system boundaries and communicate technical decisions clearly to customers and teammates.

- Useful additional experience: Document AI and OCR, real-time voice systems, enterprise integrations, agent protocols such as MCP, and orchestration frameworks.

- Useful additional experience: Mentoring engineers or building reusable platforms.

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About Beyond Technologies Private Limited

Founded :
2026
Type :
Products & Services
Size
Stage :
Bootstrapped

About

Beyond Technologies Private Limited - We connect ambitious companies with exceptional engineers, designers, and product leaders faster than ever before.

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Company social profiles

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Active Pursuit of Mastery 

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Invite, Give, and Act on Feedback 

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We act as trusted partners and focus on real outcomes, not just output. 



Job Description

This is a remote position.


This is a remote position.


Experience Level


This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.


We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.




What You’ll Do as a Software Craftsperson


•     Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.


•     Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.


•     Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.


•     Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.


•     Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.


•     Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.


•     Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.


•     Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.




Requirements

What You’ll Bring


3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.


Must-Have Skills


•     Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.


•     TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.


•     Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.


•     Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.


•     Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.


•     Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.


Good-to-Have Skills


•     AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.


•     LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.


•     Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.


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•     Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.




Benefits

Life at Incubyte


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Perks


•     Dedicated learning & development budget


•     Sponsorship for conference talks


•     Comprehensive medical & term insurance


•     Employee-friendly leave policies


•     Home Office fund


•     Medical Insurance

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AI leverage: 

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Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

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We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

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🏢 Employment: Permanent

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Kavitha Rajan
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skill iconMachine Learning (ML)
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Computer Vision
skill iconFlutter
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Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1-5Years

CTC: 6-10 LPA

No Freshers


About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.



The role

Zeuron.ai is looking for hands-on software engineers who can turn an incomplete brief into reliable, usable software. You will work as an individual contributor, make sound technical decisions and take responsibility for the quality of what you deliver.

AI coding tools will be part of the workflow. We expect you to understand the underlying software well enough to build and debug without an LLM, then use AI to accelerate implementation, exploration and verification. You remain accountable for the result.


What you will own

• End-to-end delivery: clarify requirements, break work into achievable steps, implement features, test them, deploy them and respond to issues after release.

• Product decisions: understand the user problem, question unclear requirements and explain trade-offs between speed, quality, complexity and maintainability.

• Reliable software: investigate defects, identify root causes and improve error handling, performance and usability.

• Engineering continuity: maintain readable code, useful documentation and clear handovers so that others can run, understand and extend your work.


Engineering expectations

We value demonstrated building ability, technical reasoning and sound judgement. Tool familiarity should be supported by evidence of software you have actually delivered.

Software fundamentals

• Programming: practical fluency in at least one programming language, with an understanding of data structures, control flow, modularity and common complexity trade-offs.

• Applications and services: understand how interfaces, APIs, business logic and data storage interact. Be able to trace a failure across these boundaries.

• Data: work with databases, reason about data models and queries, and handle validation, consistency and errors appropriately.

• Development workflow: use Git confidently, review changes, manage dependencies and keep development and deployment instructions reproducible.

• Testing and debugging: reproduce failures, form hypotheses, inspect logs and isolate causes. Test important behaviour and edge cases rather than relying on a successful demo.

• Security and reliability: recognise basic risks around authentication, access control, secrets, input handling and third-party dependencies.


Build independently. Use AI effectively.

• Without LLMs: write and modify code, diagnose defects, explain design choices and use documentation to solve unfamiliar problems independently.

• With AI coding tools: frame tasks clearly, supply relevant context, use generated suggestions selectively and inspect the resulting changes.

• Verify before accepting: check correctness, integration, security and maintainability. Recognise invented APIs, fragile assumptions and plausible-looking code that does not solve the actual problem.

• Protect information: use approved tools and handle credentials, proprietary code and user data responsibly.


Evidence we want to discuss

Be prepared to walk through a project you contributed to: the problem, your specific contribution, important technical decisions, a difficult bug and how you verified the result. Public repositories or demos are useful where available; do not share confidential material from previous employers.


Ownership, growth & applying

How you will work

• Act as an owner: follow through on agreed deliverables, raise blockers early and communicate progress with concrete evidence.

• Work with the team: collaborate with product and engineering colleagues, accept review constructively and explain technical choices clearly.

• Learn with purpose: pick up unfamiliar tools when the problem requires them, while keeping the solution proportionate to the need.

• Grow through contribution: begin with hands-on individual-contributor responsibility, with potential to take on broader product or team responsibility as delivery, judgement and collaboration develop.


What strong performance looks like

Working features that meet agreed requirements; clear reasoning about implementation; defects investigated systematically; code that others can maintain; and AI-assisted work whose quality you can explain and verify.


Eligibility and compensation

Experience: 1-5 years of hands-on software development experience only.

Freshers are not considered.

Locations: Bengaluru and Belagavi.

Annual CTC : 6-10 LPA

The offer will depend on experience, interview performance and growth potential.


What to expect in the assessment

Be prepared for a discussion of your previous work, a practical coding or debugging task without LLM assistance, and an assessment of how you use AI coding tools and verify their output. We will also discuss product judgement, ownership and collaboration.

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Shubham Vishwakarma

Full Stack Developer - Averlon
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