Role: Full Stack Engineer (AI Tools)

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long Term (with a possibility of contract to hire)

Work Schedule: 8 hours/day (Mon-Fri)

Location: Hybrid - 1x day onsite in Bangalore or Chennai About the Role

We are seeking a Full Stack Engineer to design, build, and ship AI-powered applications and tools that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end to end — from frontend and API design through backend services, GenAI integration, deployment, and monitoring — turning business problems into reliable, production-grade tools that people actually use.

This role is ideal for a versatile engineer who enjoys owning features from idea to production, is comfortable across the stack, and wants to build with up-to-date GenAI capabilities at the core of the product.

What You Will Do

Full Stack Application Development

- Build responsive, intuitive frontends (Angular/React/TypeScript) and robust backend services (Python/FastAPI or Node.js) for internal and customer-facing AI tools.

- Design and implement clean, well-documented APIs that connect AI capabilities to business workflows.

- Own features end to end: requirements, design, implementation, testing, deployment, and iteration.

GenAI and AI Tooling

- Build GenAI applications using OpenAI APIs, embeddings, vector search, and RAG.

- Implement LLM orchestration, tool/function calling, and lightweight agentic workflows.

- Develop prompt engineering patterns and automated evaluation frameworks to measure and improve quality.

- Integrate AI features into products in ways that are reliable, cost-aware, and safe.





Cloud and Data Engineering

- Deploy and operate services on AWS (Lambda, S3, ECS/containers, API Gateway, Agentcore).

- Build and optimize data and feature pipelines using Python, SQL, and where relevant Databricks, Spark, and Delta Lake.

- Ensure data quality, observability, and documentation across the systems you build.

Enterprise System Integrations

- Build and maintain integrations with enterprise systems such as Salesforce (SFDC), Oracle Fusion, Oracle Service Cloud, and PeopleSoft.

- Support real-time and batch workflows that enhance CRM, sales, customer service, and marketing operations.

Productionization, Reliability, and Support

- Implement monitoring, logging, and alerting for application health, model drift, and prompt performance.

- Provide L2/L3 support for the tools and pipelines you build.

- Contribute to root cause analysis and build preventive measures for long-term stability.

Cross-Functional Collaboration

- Partner with Product, Engineering, and business stakeholders to translate challenges into working tools with clear ROI.

- Communicate technical concepts clearly to non-technical audiences.

- Support adoption through demos, documentation, and enablement.

Required Skills

Generalist Strengths

- Ability to design end-to-end solutions spanning UI, APIs, data,



models, and automation in close collaboration with the end users around the business.

- Comfort working across ambiguity and owning delivery of complete features and delivering at speed.

- Strong communication and collaboration skills.

- Ability to manage multiple workstreams and deliver with limited direction.

Core Technical Skills

- Strong programming skills in Python and JavaScript/TypeScript – using agentic coding tools like Claude or Codex to accelerate development.

- Experience building full stack applications (frontend frameworks such as Angular/React; backend frameworks such as FastAPI, Flask, or Node.js).

- Hands-on experience with OpenAI APIs, LLM workflows, RAG, and prompt engineering.

- Solid API design skills (REST; GraphQL a plus) and comfort integrating third-party services.

- Strong SQL skills and experience working with large datasets.

- Experience deploying on AWS (S3, Lambda, and container or serverless compute).

- Familiarity with databases and cloud data warehouses (e.g., Postgres/pgvector, Redshift, Snowflake).

Nice to Have

- Experience with vector databases (Pinecone, Weaviate, pgvector) and LLM frameworks (LangChain, LlamaIndex).

- Experience with CI/CD, Docker, and infrastructure-as-code.

- Experience with MLflow or other MLOps/LLMOps tooling.

- Experience building customer-facing or enterprise GenAI applications.

- Familiarity with Databricks, Spark, and Delta Lake.

Education

- Bachelor's degree in Computer Science, Engineering, or a related technical field is required.

- Equivalent practical experience will be considered.

📌 Full Stack Engineer (AI Tools) (Bengaluru)
🏢 SkySys
📍 Bengaluru