Techjays
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Information Technology Support Services · 51 to 200 Employees · Santa Clara, US
In everything we do, we believe in creating a better and brighter future for humanity. The world runs on relationships. At Techjays we are focusing on creating a better future for our clients, our employees, and our communities For our clients, we will utilize our proven process and proprietary tools and methods to engineer and deliver valuable software solutions to solve their most pressing challenges.
Hiring: Engineering
What employees say
+ Techjays is a very good place to grow professionally and develop your career. The work environment is flexible, supportive, and positive, which makes it comfortable to learn and ta
− I haven’t experienced any significant cons so far.
More reviews on the company profile.
Interview experience · Recruiter
Highly professional and transparent interview process. The panels focus on data-driven recruiting strategies and deep technical calibration. A truly human-centric, seamless, and rewarding candidate experience from start
Average difficulty · Coimbatore · 13 reports
More interview insightsJob description
Overview
AI Lead (Backend Systems & Architecture)
Responsibilities
- 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
Qualifications
- 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.)
- Ability to lead teams, mentor engineers, and drive technical excellence
- Strong problem-solving skills with an ownership mindset
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- Understanding of MLOps and AI system lifecycle
- 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
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Job application FAQ
Last updated 30 September 2026
- How do I apply for AI Lead Developer at Techjays?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Techjays may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Lead Developer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Lead Developer remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this AI Lead Developer role at Techjays?
- This is a lead AI Lead Developer role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.