Full Stack AI Developer

SUMMARY

As a Full Stack AI Developer, you will design, develop, and integrate modern full-stack applications powered by AI, graph technologies, and data platforms.

TECHNICAL SKILLS

- React
- JavaScript/TypeScript
- HTML
- CSS
- Python
- PostgreSQL
- SQL
- GraphQL
- REST APIs
- Neo4j
- LangChain
- CrewAI
- LLMs
- RAG
- Prompt engineering
- Embeddings
- Vector search
- AI agents
- Authentication
- Authorization
- Secure API integrations
- Git
- Testing
- CI/CD
- Hasura
- Knowledge Graphs
- Graph RAG
- Keycloak
- Docker
- AWS
- Azure
- GCP

ABOUT SALT TECHNOLOGIES

Salt Technologies is a global software development company specializing in custom software engineering, AI & ML solutions, data engineering, cybersecurity, and digital product development. We partner with startups, SMBs, and enterprises to build scalable, secure, and impactful digital products.

Our culture is built around ownership, continuous learning, customer focus, operational excellence, collaboration, and

transparency.

CORE RESPONSIBILITIES

- Build responsive, scalable, and user-friendly applications using React and modern JavaScript/TypeScript.
- Develop backend services, APIs, and data-access layers using GraphQL, REST, Hasura, and PostgreSQL.
- Develop backend and AI integration components using Python and/or TypeScript.
- Design and integrate graph-based solutions using Neo4j or similar graph databases.
- Develop AI-powered applications, RAG pipelines, and Agentic AI workflows.
- Build AI agents and multi-agent workflows using LangChain, CrewAI, or equivalent frameworks.
- Integrate LLM APIs and domain-specific AI models into applications. Work with embeddings, vector search, retrieval strategies, prompt engineering, and AI agents.
- Develop efficient data flows across frontend, backend, relational databases, graph databases,



and AI services.
- Troubleshoot application, API, database, and AI workflow issues.
- Write clean, reusable, secure, and maintainable code.
- Perform unit testing, integration testing, debugging, and performance optimization.
- Participate in requirements analysis, solution design, code reviews, deployment, and post-release support.
- Collaborate with developers, AI engineers, technical leads, product teams, and clients.

KEY OUTCOMES EXPECTED

- High-quality and scalable full-stack applications delivered within agreed timelines.
- Reliable implementation of AI-powered features using LLMs and RAG. Effective implementation of Agentic AI and AI workflow orchestration.
- Solid integration across application, database, graph, and AI layers. High standards of code quality, security, performance, and maintainability.
- Effective contribution to Knowledge Graph and Graph RAG initiatives.

MUST-HAVE QUALIFICATIONS

Experience

- 3 to 5 years of professional experience in full-stack software development.
- Hands-on experience developing applications using React and modern frontend technologies.
- Experience working with APIs, backend services, and relational databases.
- Practical experience with Generative AI, LLMs, RAG, or AI-powered applications.
- Experience working in Agile development environments and collaborative engineering teams.

Technical Skills

- Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS.




- Hands-on experience with Hasura and GraphQL.
- Strong knowledge of PostgreSQL, SQL, database design, and query optimization.
- Experience with Neo4j or graph databases.
- Hands-on experience with LangChain and/or CrewAI.
- Understanding of LLMs, RAG, prompt engineering, embeddings, vector search, and AI agents.
- Understanding of REST APIs, authentication, authorization, and secure API integrations.
- Good understanding of the software development lifecycle and application architecture.

Tools & Platforms

- React
- Hasura / GraphQL
- PostgreSQL
- Neo4j
- LangChain
- CrewAI
- Git / GitHub
- LLM APIs / AI platforms

Methodologies

- Agile
- Scrum
- Kanban
- CI/CD
- Test-driven / automated testing practices

Nice-to-Have Qualifications

- Experience building Agentic AI or multi-agent systems.
- Experience with Graph-RAG, Knowledge Graphs, or Ontology-based systems.
- Experience with Keycloak or similar Identity and Access Management platforms.
- Experience working with PostgreSQL-based data warehouse architectures.
- Experience with cloud platforms such as AWS, Azure, or GCP.Salt Technologies, Inc.
- Experience with Docker and containerized application deployment.
- Understanding of AI security, data privacy, prompt security, and preventing sensitive data exposure to public LLMs.
- Experience working with international clients.
- Exposure to enterprise or multi-tenant application architectures.

Behavioral Competencies

We're looking for someone who demonstrates:

- Ownership and accountability
- Strong communication skills
- Problem-solving mindset
- Customer focus
- Collaboration and teamwork
- Adaptability and continuous learning
- Attention to detail
- Curiosity toward emerging AI technologies
- Ability to work independently and take initiative

📌 Full Stack AI Developer (Pune)
🏢 Salt web technologies
📍 Pune