Techjays
https://techjays.comAbout
Techjays is The AI Reimagination Company — an enterprise AI partner founded by leaders with experience at Google. We don’t just experiment with AI; we build, deploy, and scale production-grade systems that solve real business problems.
Our focus is on industries where impact matters most — manufacturing, logistics, and complex enterprise operations. From intelligent automation to LLM-powered workflows, we design solutions that deliver measurable business outcomes in under 90 days.
With 20+ live AI systems already in production and over $100M in cost savings delivered, our work goes beyond proof of concept — it drives tangible value.
Headquartered in Menlo Park, Techjays operates across seven countries including the USA, India, UAE, UK, Canada, Australia, and Bangladesh — helping global enterprises rethink how they build, operate, and scale with AI at the core.
Tech stack
Amazon Web Services (AWS)
DockerCandid answers by the company
Coimbatore (remote) and Remote options available.
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Jobs at Techjays
Recruiter | Human Resources & Talent Acquisition
Coimbatore | On-site
Experience: 3–5 Years
At Techjays, we are building AI-first technology solutions that help businesses scale with secure and production-grade systems. We are looking for a passionate and experienced Recruiter to join our growing team and help us hire top talent across technical and non-technical roles.
Key Responsibilities
- Manage end-to-end recruitment for technical and non-technical roles
- Work closely with hiring managers to understand hiring requirements
- Source candidates through LinkedIn, Naukri, job portals, social media, and referrals
- Conduct resume screening and initial candidate assessments
- Coordinate interviews and ensure smooth candidate communication
- Handle offer rollout, negotiation, and onboarding support
- Maintain ATS records and recruitment reports
- Support employer branding, campus hiring, and talent pipeline building
Required Skills
- Strong experience in Talent Acquisition and Recruitment
- Hands-on experience with LinkedIn sourcing and job portals
- Good communication and stakeholder management skills
- Experience hiring for IT/technology roles preferred
- Familiarity with ATS tools and recruitment metrics
Preferred Qualifications
- Bachelor’s degree in HR, Business Administration, or related field
- 3–5 years of recruitment experience, preferably in IT/Product companies
- Experience hiring for Software, AI/ML, Data Science, or Engineering roles is a plus
What We Offer
- Competitive salary packages
- Medical insurance coverage
- Growth-oriented and collaborative work culture
- Opportunity to work with fast-growing AI-focused teams
Interested candidates can apply through Cutshort or share their updated resume.
PythonAmazon Web Services (AWS)About the Role
At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.
This role sits at the intersection of pre-sales, solutioning, and delivery governance.
What You'll Do
- Own end-to-end solutioning from client discovery to architecture design
- Partner with pre-sales teams on RFPs, proposals, and client presentations
- Define architectures for LLM integrations, RAG pipelines, and agentic workflows
- Conduct architecture reviews and technical assessments for ongoing projects
- Act as a trusted technical advisor to enterprise clients during pre-sales
Key Skills
- Python, REST APIs, Microservices, Distributed Systems
- AWS / Azure / GCP, Docker, Kubernetes, CI/CD
- LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
- Enterprise data architecture and integration patterns
- Strong client communication and presentation skills
Who You Are
- Client-first mindset — listens, understands, and translates business pain into technical clarity
- Strong communicator comfortable with C-level stakeholders
- High ownership — accountable for every solution you sign off on
- Collaborative across sales, delivery, and engineering
What We Offer
- Flexible work environment
- Paid holidays & flexible time off
- Medical insurance (Self & Family up to ₹4 Lakhs)
- Exposure to global clients and high-impact pre-sales engagements
- A culture of clarity, integrity, and continuous growth
Machine Learning (ML)We are looking for an experienced Business Analyst with 10+ years of experience to lead AI product initiatives and guide the BA team. The role involves understanding business needs, gathering requirements, creating documents like BRDs, FRDs, and user stories, and coordinating with teams such as engineering, AI/ML, QA, design, and product.
The candidate should have knowledge of AI/ML concepts, strong stakeholder management skills, and experience building products from scratch. They will also mentor junior BAs, conduct UAT testing, support Agile/Scrum processes, and help deliver AI-driven solutions successfully.
Key responsibilities include:
- Requirement gathering and solution analysis
- Stakeholder communication and workshops
- Documentation and project coordination
- UAT and QA support
- Team leadership and mentoring
- Working on AI-powered products and automation solutions
- Ensuring ethical and compliant AI practices
Preferred experience includes exposure to Generative AI, LLMs, AI agents, SaaS products, and tools like Jira, Confluence, Figma, and Miro.
PythonAbout 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
PythonAbout 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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAI Lead (Backend Systems & Architecture)
This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.
At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.
You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.
What You’ll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
- Own systems end-to-end: architecture, development, deployment, and scaling
- Build reliable, high-performance distributed systems
- Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
- Lead backend and AI initiatives with strong technical ownership
- Ensure performance, scalability, observability, and cost efficiency
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to build AI-native solutions
What We’re Looking For
- Proven experience in architecting and scaling backend systems end-to-end
- Strong expertise in Python (Django / Flask / FastAPI)
- Deep understanding of distributed systems and system design
- Hands-on experience with AWS or GCP in production environments
- Solid experience working with LLMs (Claude, GPT, etc.)
- Strong knowledge of:
- Retrieval-Augmented Generation (RAG)
- Vector databases (Pinecone, FAISS, Weaviate, etc.)
- Experience in building and managing microservices architectures
- Ability to lead teams, mentor engineers, and drive technical excellence
- Strong problem-solving skills with an ownership mindset
Nice to Have
- Experience building AI agents or autonomous systems
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- Understanding of 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 in fast-moving, ambiguous environments
- You stay updated with the latest advancements in AI and backend technologies
This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.
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