11+ Systems Development Life Cycle (SDLC) Jobs in Coimbatore | Systems Development Life Cycle (SDLC) Job openings in Coimbatore

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

Senior AI Engineer — Ruby on Rails

Techjays · Coimbatore / Chennai · Hybrid · Immediate – 30 Days Notice

About Techjays

We're the AI Reimagination Company — and that's not a tagline we put on a deck. It's what we actually do.

Techjays helps global enterprises rebuild the way they operate using AI at the core: not as a pilot, not as a feature, but as a foundational layer across products, workflows, and infrastructure. We're an Anthropic partner, which means our engineers get early access to frontier models and tools before they hit the market.

Our team includes engineers and leaders from Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. We run like a high-agency startup, but we build production systems that real enterprise clients depend on.

Every project is greenfield. Every line of code you write ships.

What This Role Actually Is

This isn't a "keep the monolith alive" job.

You'll be designing and building new AI-powered features, integrating LLM APIs into production Rails applications, and using Claude Code as a core part of your daily workflow — not as an experiment. You'll work directly with US-based enterprise clients alongside Product Managers, AI Business Consultants, and Delivery Excellence Managers.

Your architecture decisions will have visible business impact.

What You'll Own

• Design, build, and maintain production-grade Ruby on Rails applications for US enterprise clients — from architecture to deployment
• Integrate LLM APIs (Claude, GPT-4, Gemini) into the Rails stack, building AI-powered features that drive real business outcomes
• Use Claude Code daily as your AI development partner — for generation, debugging, documentation, and velocity
• Build responsive, performant React front-ends from wireframes and design specs
• Own RESTful and GraphQL API design for client applications and third-party integrations
• Drive database design and optimisation — schema, queries, indexing, and migrations on PostgreSQL/MySQL
• Lead code reviews and raise the technical bar through constructive feedback
• Document architecture decisions, API contracts, and implementation patterns

Must-Haves

• 6+ years of deep, production-grade Ruby on Rails experience — advanced framework patterns, background jobs (Sidekiq/Redis), design patterns, best practices
• Hands-on experience with Claude Code (Anthropic) for AI-assisted development — this is central to how we build
• Strong React skills — hooks, component architecture, state management, wireframe to production
• Expert-level PostgreSQL/MySQL — schema design, query optimisation, indexing, performance tuning
• Proven experience designing RESTful and GraphQL APIs at scale
• Experience integrating third-party LLM APIs (OpenAI, Anthropic, Google Gemini) into production Rails apps
• Strong software architecture fundamentals — MVC, service objects, design patterns, testability
• Deep comfort with Git, Gitflow, and PR-based collaboration workflows

Good to Have

• Python for scripting, automation, or backend service integration alongside Rails
• AWS familiarity — EC2, S3, RDS, Lambda — for deployment and infrastructure
• MongoDB or NoSQL in polyglot persistence architectures
• Vector databases (Pinecone, pgvector, Weaviate) for LLM application development
• LangChain, LangGraph, or similar orchestration frameworks for AI agents
• SaaS multi-tenancy patterns and high-traffic web application experience
• Open source contributions or a strong public GitHub profile

Why Join Techjays

• Claude Code is standard practice here, not a side experiment — you'll use it every day to ship faster and smarter
• Anthropic partner access — early visibility into frontier AI tools and capabilities before the market sees them
• Greenfield only — you'll design architecture, not inherit technical debt
• Global client exposure — your engineering decisions translate directly to measurable business outcomes for US enterprise clients
• Team pedigree — you'll learn alongside engineers who've shipped at real scale at Google, Akamai, and NetApp
• AI is the product here, not a feature. You'll spend your career at the intersection of software engineering and AI systems

What We're Looking For Beyond the Resume

• Builder mindset — you think in systems, not tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous, fast-moving environments
• Clear communicator, collaborative team player

What We Offer

• Competitive compensation
• Hybrid work — Coimbatore office or remote flexibility
• Paid holidays and flexible time off
• Medical insurance for self and family (up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems for global clients
• A culture built on clarity, integrity, and continuous growth

Location: Coimbatore / Chennai — Hybrid Notice Period: Immediate to 30 days preferred

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

Senior AI Engineer — .NET / C# 📍 Coimbatore / Chennai · Hybrid | 6+ Years | Immediate – 15 Days Notice

About Techjays

We build production-grade AI systems for enterprise clients across the US, UK, and Australia. As an Anthropic partner, we work at the frontier of AI — not experiments, but real systems that ship and scale. Our team includes engineers from Google, Akamai, NetApp, and Capgemini.

What You'll Do

• Build and ship .NET applications for enterprise clients — from design to deployment
• Integrate LLM APIs (Claude, OpenAI, Azure OpenAI) into production .NET services
• Use Claude Code daily for coding, debugging, and code reviews
• Build React UIs from wireframes to production
• Own SQL Server architecture, optimisation, and EF migrations
• Lead code reviews and mentor the team
• Work with PMs and Delivery Managers to hit sprint goals

What We're Looking For

• 6+ years in .NET — C#, ASP.NET Core, Entity Framework
• Hands-on with Claude Code or similar AI coding tools
• Strong Azure — App Services, Functions, Service Bus, Cosmos DB, DevOps
• Solid React — hooks, state management, component architecture
• Expert SQL Server skills
• Experience with RESTful and GraphQL APIs at scale
• Good grasp of Clean Architecture, DDD, CQRS, microservices

Bonus: Python, Docker, vector databases, Semantic Kernel, SignalR, GCP/AWS

Why Join

• Greenfield projects — you design the architecture
• Anthropic partner — early access to frontier AI tools
• Global client exposure with real business impact
• Team of engineers who've built at scale

Key Responsibilities:

Full-Stack Development:

• Engage in end-to-end development activities, from requirements gathering to deployment, ensuring high-quality deliverables.
• Perform hands-on development using a mix of technologies including Angular 13+, Java / Springboot, Fast API, and SQL.
• Collaborate with cross-functional teams to integrate front-end interfaces with back-end services and databases.

Team Leadership & Collaboration:

• o Work closely with the Tech Lead / Solution Architect and Product Manager to help design and implement scalable and robust solutions leveraging Angular 13+, Java / Springboot, Microservices, Fast API, Java Reactive Programming, and SQL.
• Assist in driving the architectural vision, ensuring alignment with business goals and provide technical guidance, participate in code reviews, and ensure adherence to best practices and coding standards.
• Evaluate and recommend technologies and tools to optimize system performance, security, and reliability.

Databases & Data Management:

• Demonstrate expertise in working with databases such as MongoDB, PostgreSQL, Azure Blob Storage, Neo4j (GraphDB is a plus), and Azure CosmosDB.
• Design efficient database schemas, optimize query performance, and ensure data integrity and security.

Cloud Platform & Infrastructure:

• Proficiency in Microsoft Azure, including the deployment, management, and optimization of cloud-based solutions.
• Experience with containerization, orchestration, and Kubernetes Lens for managing containerized applications.

Tools & Collaboration:

• Utilize tools such as GitHub for version control, JIRA for project management, Confluence for documentation, Keycloak for identity and access management, and other relevant tools to streamline development and collaboration processes.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of hands-on experience in full-stack development.
• Strong expertise in Angular 13+, Java / Springboot, Microservices, Fast API, Java Reactive Programming, SQL.
• Proven experience with databases including MongoDB, PostgreSQL, Azure Blob Storage, and Azure CosmosDB.
• Strong communication and collaboration skills.
• Experience with Agile development methodologies.
• Understanding of the Microsoft Azure cloud platform and associated services.
• Relevant certifications (e.g., Azure / AWS Certifications etc.;) are a plus.

·        Qualification: bachelor’s or master’s degree in computer science, Engineering, or related field.

·        Proven 4+ years of experience in full stack development, including proficiency with React, Tailwind CSS, Python, and Flask.

·        Strong understanding of Graph QL concepts and hands-on experience with Ariadne or similar frameworks.

·        Familiarity with containerization using Docker for application deployment.

·        Demonstrated expertise in machine learning model integration, preferably using the Hugging Face framework.

·        Experience deploying machine learning models on cloud platforms such as Replicate and AWS is a strong plus.

·        Excellent problem-solving skills and a proactive attitude towards learning and adapting to new technologies.

·        Should have experience in Backend: Python, Flask Framework, Langchain ML Ops Framework, Ariadne Graph QL Framework, Docker. Frontend: React, Tailwind. ML Model Development – Hugging Face Model Training, ML Deployment onto Replicate or AWS

WHAT WE'RE LOOKING FOR

•  Bachelors or masters in software engineering, Computer Science or other relevant disciplines
•  2+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python web application development
•  Strong Knowledge in Python v3.x Language
•  Experience in REST APIs with JSON
•  Error handling and Logging 
•  Any DB knowledge 
•  Knowledge on Sumo Logic log aggregation is a plus
• Must know how to produce high quality, “Clean” code that is performant, maintainable and secure

Role Description:

• Lister is actively engaged with client across digital transformation and engineering
• As a part of this engagement, you will be working with our clients on solution design and architecture, technology decisions, while co-ordinating technical efforts for the team
• As a Technical Lead:, You will need to collaborate with Solution Architects define technology
• roadmap, evaluate/recommend technologies, architect and design solutions, Work
• with other developers to oversee the development and implementation
• You will translate functional requirements from business stakeholders to the technical
• team for implementation
• You will need to troubleshoot design flaws and system bottlenecks
• You will have to be hands-on with code reviews and evaluate implementation for performance and scale
• Manage communication between our clients and internal teams in India and USA
• Coordinate with the offshore team to deliver projects across work streams, Identify risks, issues and blockers to progress and mitigate them for the team
• Rapidly gain an understanding of project requirements and drive execution
• Work with delivery team to ensure the highest quality of materials are being produced and all client needs are met.

Skills Required:

• Excellent understanding of backend and frontend components in the following stack: NodeJS, TypeScript, Javascript, ReactJS, multiple RDBMS and NoSQL databases like Postgres, MySQL, MongoDB Experience of working on AWS services (Lambda, Step functions, SQS, S3 SNS)
• Microservice design pattern is a must
• Experience in Docker, Kubernetes, containerization and CI/CD pipelines is preferable
• Experience in software development tools like Prettier, CodeCov, Snyk, etc..
• Excellent verbal and written communication skills; client facing and interpersonal skills; must be a listener, a presenter, and a people-person
• Experience in Designing scalable architecture systems for Node-based applications
• Ability to grasp complex implementations; Proven results of delivering client solutions
• Should have experience of working with offshore team
• Experience in working on large scale technology transformation projects for product companies is preferable
• Technology contributions to open source projects will be an added advantage
• Should have completed Certifications or training on AWS (AWS Solutions Architect), NodeJS, front-end frameworks.