Technical Lead / AI Engineer / Founding Engineer
AVYON TECHNOLOGIES PRIVATE LIMITED
About the role
About Avyon Technologies
At Avyon Technologies, we are building next-generation AI systems and enterprise‑grade software platforms that solve real problems for global clients. We move fast, think big, and deliver with precision.
We are hiring a Technical Lead / Founding Engineer / AI Engineer — a rare, high‑calibre individual who will work directly with the Founder, own the entire technical direction, lead the engineering team, and be responsible for building and delivering world‑class AI‑powered systems from day one.
If you are someone who takes full ownership, communicates with excellence, and has the technical depth to build production‑grade AI systems — this role was built for you.
Role Overview
Position: Technical Lead / Founding Engineer / AI Engineer
Type: Full‑Time | Permanent
Location: In‑Office Only — Lucknow, Uttar Pradesh, India
Work Mode: On‑Site (No Remote / No Hybrid)
Reporting To: Founder & CEO directly
Joining: Immediate
This is a founding‑level engineering role. You will sit at the intersection of Full‑Stack Development and Artificial Intelligence, and will be responsible for end‑to‑end technical ownership — from client requirements to system architecture to deployment to team leadership. You will be the technical backbone of the company.
Key Responsibilities
Technical Ownership
- → Architect, design, and develop full‑stack, AI‑powered applications and enterprise‑grade software platforms
- → Build, fine‑tune, deploy, and monitor production‑grade AI and ML models and systems
- → Design complete end‑to‑end technical pipelines — from requirement analysis through to production deployment
- → Ensure all systems are scalable, reliable, secure, and production‑ready
- → Implement DevOps practices — CI/CD pipelines, containerisation, cloud infrastructure, and automated deployments
- → Maintain full ownership of codebase quality, architecture decisions, and technical standards
Client Management
- → Work directly with international clients on a daily basis — conduct requirement gathering sessions, analyse technical needs, and translate them into actionable engineering plans
- → Communicate project updates, timelines, and deliverables clearly and professionally to clients at all times
- → Ensure zero ambiguity in all client communications — written and verbal
- → Build and maintain strong, professional relationships with all client stakeholders
- → Own all client‑facing technical documentation and delivery reports
Team Leadership
- → Lead, manage, coordinate, and mentor the engineering team and interns on a day‑to‑day basis
- → Set clear priorities, assign tasks, review work, and ensure every team member is performing at their best
- → Drive a culture of ownership, accountability, and excellence within the engineering team
- → Ensure all projects are delivered on time — or ahead of schedule
- → Identify blockers early, resolve them proactively, and escalate when necessary
Documentation & Processes
- → Own complete technical documentation — system architecture, API documentation, codebase documentation, deployment processes, and project delivery reports
- → Create and maintain clear internal processes for development, review, testing, and deployment
- → Ensure every project, feature, and system is fully documented to the highest standard
Strategy & Growth
- → Collaborate directly with the Founder on product vision, technical roadmap, and company growth strategy
- → Contribute to hiring, team building, and establishing engineering culture
- → Take full responsibility for all tasks, decisions, and outcomes within the technical domain
- → Execute all responsibilities assigned by leadership with complete ownership and accountability
Required Technical Skills
Artificial Intelligence (Must‑Have — Strongly Preferred)
- ✦ Deep working knowledge of AI, Machine Learning, and Deep Learning
- ✦ Hands‑on experience with Large Language Models (LLMs) — building, fine‑tuning, deploying, and monitoring
- ✦ Strong understanding of Natural Language Processing (NLP)
- ✦ Experience with Vision‑Language Models (VLMs) and multimodal AI systems
- ✦ Practical knowledge of MLOps and LLMOps — model versioning, pipelines, monitoring, and lifecycle management
- ✦ Experience with model fine‑tuning techniques — LoRA, PEFT, RLHF, and instruction tuning
- ✦ Knowledge of AI system monitoring, evaluation, and performance optimisation
- ✦ Experience with AI frameworks — PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar
Full‑Stack Development
- ✦ Strong proficiency in frontend development — React.js, Next.js, or equivalent modern frameworks
- ✦ Strong proficiency in backend development — Node.js, Python (FastAPI / Django / Flask), or equivalent
- ✦ Solid experience with RESTful APIs and GraphQL design and development
- ✦ Strong knowledge of databases — SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis)
- ✦ Experience building scalable, production‑ready full‑stack applications
DevOps & Deployment
- ✦ Experience with cloud platforms — AWS, GCP, or Azure
- ✦ Proficiency with containerisation — Docker, Kubernetes
- ✦ CI/CD pipeline design and implementation — GitHub Actions, Jenkins, or equivalent
- ✦ Infrastructure management and deployment automation
Computer Science Fundamentals
- ✦ Strong foundation in Data Structures and Algorithms
- ✦ System design — ability to architect scalable, distributed systems
- ✦ Software engineering principles — clean code, design patterns, SOLID
- ✦ Strong problem‑solving and analytical thinking
Required Soft Skills
- ✦ Exceptional written and spoken English — international client communication must be flawless, professional, and precise
- ✦ Strong leadership — ability to manage a team, set direction, and drive results
- ✦ High ownership mentality — takes full responsibility with no hand‑holding required
- ✦ Ability to manage multiple priorities and deliver consistently under pressure
- ✦ Strong communication, documentation, and presentation skills
- ✦ Proactive problem‑solver — identifies issues and resolves them without being told
Who Will Thrive In This Role
This role is designed for someone who:
- → Does not wait to be told what to do
- → Treats every client and every project with the highest standard
- → Is hungry to build, lead, and grow fast in a real startup environment
- → Wants to learn more in one year than most engineers learn in five
- → Is ready to work hard, take ownership, and grow with the company
If you are looking for a comfortable 9‑to‑5 — this role is not for you.
If you want to be at the center of building something real, work directly with the Founder, lead a team, serve international clients, and grow into a CTO‑level leader — this is exactly where you need to be.
Compensation & Structure
First 6 Months — Training & Evaluation Period (Unpaid)
The initial six months are a structured, intensive period of learning, execution, and capability building. During this phase you will:
- → Be trained directly by the Founder
- → Be embedded in live client projects from day one
- → Learn every aspect of the company's technical and operational systems
- → Demonstrate your ability to manage all dimensions of this role independently and efficiently
This period is designed to ensure you are fully equipped, deeply integrated, and performing at the highest level before compensation is formalised.
Post 6 Months — Paid Engagement
Once you have demonstrated consistent performance, full ownership, and the ability to independently manage all aspects of this role, compensation will be formalised and structured based on:
- → Your performance and contribution
- → The scope and quality of your work
- → Your growth trajectory within the company
This is a startup. Those who join at the founding stage and prove themselves will grow with the company — in responsibility, title, and reward.
Role Details At A Glance
- Company: Avyon Technologies Private Limited
- Position: Technical Lead / Founding Engineer / AI Engineer
- Location: Lucknow, Uttar Pradesh, India
- Work Mode: In‑Office Only (No Remote / No Hybrid)
- Type: Full‑Time | Permanent
- Hours: 8+ hours per day (flexible based on project requirements)
- Reports To: Founder & CEO
- Joining: Immediate
- Website: www.avyon.co.in
Apply now using the Easy Apply button above. Every application is reviewed personally. Shortlisted candidates will be contacted directly by our team.
Avyon Technologies · Building the Future with AI · www.avyon.co.in
Lucknow, Uttar Pradesh, India
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Requirements
- Deep working knowledge of AI, Machine Learning, and Deep Learning
- Hands‑on experience with Large Language Models (LLMs) – building, fine‑tuning, deploying, monitoring
- Strong understanding of Natural Language Processing (NLP)
- Experience with Vision‑Language Models (VLMs) and multimodal AI systems
- Practical knowledge of MLOps/LLMOps – model versioning, pipelines, monitoring, lifecycle management
- Experience with model fine‑tuning techniques – LoRA, PEFT, RLHF, instruction tuning
- Knowledge of AI system monitoring, evaluation, and performance optimisation
- Experience with AI frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex
- Strong proficiency in frontend development – React.js, Next.js or equivalent
- Strong proficiency in backend development – Node.js, Python (FastAPI/Django/Flask) or equivalent
- Solid experience with RESTful APIs and GraphQL
- Strong knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases
- Experience building scalable, production‑ready full‑stack applications
- Experience with cloud platforms – AWS, GCP, or Azure
- Proficiency with containerisation – Docker, Kubernetes
- CI/CD pipeline design and implementation – GitHub Actions, Jenkins or equivalent
- Strong foundation in data structures, algorithms, and system design
- Software engineering principles – clean code, design patterns, SOLID
- Exceptional written and spoken English for international client communication
- Strong leadership and team‑management abilities
- High ownership mentality and ability to work independently
- Ability to manage multiple priorities under pressure
- Excellent communication, documentation, and presentation skills
- Proactive problem‑solving mindset
Responsibilities
- Architect, design, and develop full-stack, AI-powered applications and enterprise-grade software platforms
- Build, fine-tune, deploy, and monitor production-grade AI and ML models and systems
- Design complete end-to-end technical pipelines from requirement analysis through production deployment
- Ensure systems are scalable, reliable, secure, and production‑ready
- Implement DevOps practices – CI/CD pipelines, containerisation, cloud infrastructure, automated deployments
- Maintain codebase quality, architecture decisions, and technical standards
- Work directly with international clients to gather requirements, analyse technical needs, and translate them into engineering plans
- Communicate project updates, timelines, and deliverables to clients
- Own client‑facing technical documentation and delivery reports
- Lead, manage, coordinate, and mentor the engineering team and interns
- Set priorities, assign tasks, review work, and ensure high performance of team members
- Drive a culture of ownership, accountability, and excellence
- Own complete technical documentation – system architecture, API docs, deployment processes, project delivery reports
- Create and maintain internal development, review, testing, and deployment processes
- Collaborate with the Founder on product vision, technical roadmap, and company growth strategy
- Contribute to hiring, team building, and establishing engineering culture
Benefits
Skills
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