Tech Lead

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

Role Overview

We are seeking a Junior Developer with 1-3 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities

• Develop, test, and maintain Python-based applications and APIs.
• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.
• Work with JSON-based data structures for request/response handling.
• Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.
• Collaborate with the product and AI teams to implement new features.
• Debug, troubleshoot, and optimize performance of applications and workflows.
• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Required Skills & Qualifications

• Strong knowledge of Python (scripting, APIs, data handling).
• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.
• Experience with JSON data parsing and transformations.
• Familiarity with PostgreSQL or other relational databases.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving skills and eagerness to learn.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice-to-Have (Preferred)

• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
• Experience working in startups or fast-paced environments.
• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).

What We Offer

• Opportunity to work on cutting-edge AI applications in permitting & compliance.
• Collaborative, growth-focused, and innovation-driven work culture.
• Mentorship and learning opportunities in AI/LLM development.
• Competitive compensation with performance-based growth.

•  1-3 years of experience in application/web development
• Good experience in working with programming languages Golang.
• Good understanding of REST APIs and the web in general
• Working knowledge of AWS and Kubernetes is a plus
• Understand end user requirements, formulate use cases and come up with effective solutions

Roles and responsibilities

• • Develop well-designed, performant and scalable microservices
  • Write reusable, testable, and efficient code that follow software development best practices
  • Integrate data storage solutions including databases, key-value stores, blob stores, etc.
  • Expose business functionality to frontend/mobile applications and partner systems through secure and scalable APIs.
  • Build integrations with 3rd party applications through apis’ to ingest and process data
  • Ensure security and data protection aspects within the applications
  • Contribute to devops by building CD/CI pipelines to automate releases
  • Ensure high performance and availability of distributed systems and applications
  • Interact directly with client project team members and operational staff to support live customer deployments and production issues.

• 4+ years of experience in developing applications using Scala and related technologies.
• Thorough understanding of multithreading concepts and async execution using Actor model.
• Thorough understanding of Play framework, GraphQL and GRPC technologies.
• Experience in using DAL and ORM (Object Relational Mapper) libraries for data access.
• Experiencing in developing and hosting APIs and integration with external applications.
• Experience in building data models and repositories using relational and NoSql databases.
• Knowledge of JIRA, Bitbucket and agile methodologies.
• Good to have knowledge of AWS services like Lambda, dynamodb, kinesis and others.
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming and distributed architectures.
• Strong unit test and debugging skills
• Affinity for learning and applying new technologies and solving new problems
• Effective organizational skills with strong attention to detail
• Experience in working with docker is a plus
• Comfortable in working with Unix/Linux environment
• Strong communication skills — both written and verbal

What you need to have: