Full Stack Developer

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Company Description

We are an SF-based stealth mode AI startup, building AI agents and automation tools for Marketing use-cases. We are ex-Big Tech, currently bootstrapped and working with a few design partners/early customers. We will be starting a fundraise in Q3 2024.

Role Description

This is a part-time remote role for a Founding Engineer (first engineering hire). This is an equity-only role, meaning compensation will be in the form of equity rather than a salary.

This role will be 30% applied research and 70% product engineering. The expectation is that you will be able to commit 15 hours per week for this role to begin with.

You will -

• Experiment with the latest AI technologies and research and put them into implementation.
• Have the freedom and responsibility to design and own projects from start to finish.
• Have opportunities to directly talk with customers and solve their problems!

About you

• Love to keep up with and dive into latest technologies in AI
• Move fast, ship quickly, has high urgency
• Energized about going from 0 to 1
• Enjoy high ownership and responsibility
• Familiar with no-code tools and frameworks
• Excited about working on AI-native user experiences

Requirements

• Bachelor’s or higher degree in Computer Science or a related field (Also open to university students for the right candidate)
• Knowledge of gen-AI systems (LLMs, model training/fine-tuning, agent frameworks, evaluation frameworks, vector DBs, RAG, etc)
• Experience in building and scaling backend systems and infrastructure
• Strong generalist, skilled with Python, cloud infrastructure (AWS).

What we offer

• Technical Ownership: You will own high level (and lower level) technical decisions for an early-stage startup, with mentorship from seasoned Engineering leaders from Silicon Valley.
• Equity: As a key initial hire, you will receive significant founding equity and ownership in the company.
• Growth: You will have a natural on-ramp to come onboard as a full-time, salaried Founding Engineer after a fundraise event.

Looking for someone who can take care of all the server-related works, their security, can handle code versions through GitHub, handle the server logs, loads with automated tools.

Hassle-free deploying the code on servers with automated scripts. Should have provision to manage the server downtime efficiently during deployment time on production environment.  Only privileged candidates can access the code and servers with a restricted IP address.

1. Responsibilities

• Serve as a point of cross-functional contact and expertise, providing support to development and QA teams for the build and release process in all environments.
• Provide emergency support for critical issues, research possible cause, and provide solutions.
• Aid DevOps team in the maintenance of existing automated deployment operations as well as the advancement of desired state automated CI-CD Pipelines
• Documents build and deployment process for assigned product and/or tools
• Aid Infrastructure team in the implementation of new resources used by the development, test, and production environments.
• Maintain awareness of best-in-class tools, languages, and practices related to development operations.
• Provides instructions to Infrastructure, Development and Test teams to aid in product development life cycle.

• Participate in discussions regarding new product development and product enhancements.
• 2. Requirements

• Experience working on Linux based infrastructure
• Configuration and managing databases such as MySQL, MongoDB
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles
• Great Experience with public cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Must have implementation experience with TLS/SSL, public private key cryptography, how certificates work, and mutual authentication
• Should have deal with IP addressing, firewalls, open ports, DNS & DHCP

JOB DESCRIPTION

Responsibilities

• Deliver products on scope, time and with the highest quality
• Set up coding standards and processes in the team 
• Ensure adherence to engineering best practices, scalable architecture and modular design
• Lead efforts of a rapidly growing engineering team of strong individual contributors
• Lead design and code reviews and ensure high quality in implementation
• Ensure performance and security criteria are met
• Communicate technical directions to all levels within the company
• Report the status of work and present solutions 
• Contribute to organization-level goals like talent hiring, people skill development, etc.

Qualifications

Required Experience

• Love for Software and the Microsoft tech stack.
• 4+ years of experience with .NET, C#, ASP.NET, Microsoft Azure, etc
• Passion for upcoming tech; experience/tinkering with ASP.NET Core, Azure Cosmos DB, etc
• Basic SQL programming 
• Ability to work with client-side scripting languages; newer frameworks and paradigms such as React, Flutter or Angular
• 2+ years of experience developing large/complex application end-to-end

Technical Skills

• Proficiency in Web Development is required.
• Strong middle-tier development (API's).
• Should be hands-on with the technical deliverables.
• Very strong software engineering - design, development and testing, experience.
• Good understanding of design / architectural patterns and automation platforms.

Other Skills

• Excellent written and oral communication, team skills
• Ability to handle ambiguity and collaborate across multiple groups
• Ability to manage multiple projects/tasks concurrently and drive them to success
• Facilitate collaboration in cross-company discussions (i.e. vendor teams)
• Sound problem resolution, judgment, negotiating and decision making skills
• Excellence in strategic thinking, leadership and be able to influence without authority.
• Ability to rapidly assimilate new information and techniques