Software Developer
Custom software engineer (5.5+ yrs, Java full stack) who builds agentic AI applications hands-on: LLM agents, RAG pipelines, vector search, API/event integrations, tests and CI/CD. Works in Python, TypeScript/Node.js and/or Java (Spring Boot) with LangChain/LlamaIndex and vector DBs, based in Hyderabad, Chennai or Bengaluru.
- Compensation
- Not disclosed
- Location
- Hyderabad; Chennai; Bengaluru
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Minimum 5.5 years of experience in Java Full Stack Development
- 15 years full-time education
- Strong CS and software engineering fundamentals
- Hands-on experience with LLMs, RAG, vector DBs, and AI APIs
- Proven ability to build end-to-end applications and integrate AI into systems
- Visible portfolio of AI projects demonstrating experimentation and speed
- Fast learner with bias for rapid prototyping and iteration
- Able to translate business problems into practical AI solutions with clear communication
- Core build proficiency in two or more of: Python, TypeScript/Node.js, Java (Spring Boot)
Nice to have
- C#/.NET, Go, Rust, SQL (PostgreSQL/pgvector), Bash
- Frameworks & tooling: LangChain, LlamaIndex, Semantic Kernel
- Vector DBs: pgvector, Pinecone, Weaviate, Milvus
- Test frameworks: PyTest/JUnit/Jest
- Containers, serverless, and cloud SDKs
Full description
Role & responsibilitiesProject Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Java Full Stack Development
Good to have skills : NA
Minimum 5.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary
AI Powered Tech Talent
Build high quality agentic AI applicationsimplement LLM tooling, RAG pipelines, vector search, and API integrationsdelivering rapid prototypes that evolve into production systems. Own hands on development, testing, and integration, with a portfolio that demonstrates speed, experimentation, and learning. AI Powered Tech Talent.
Responsibilities
Hands on Build
oImplement agents (tools, skills), prompts/templates, planners, memory, and evaluation loops write clean, testable code and CI/CD pipelines.
oStand up RAG services (ingestion, chunking, embeddings, indexing) and integrate vector DBs add observability and guardrails.
Integration
oConnect to enterprise APIs, event streams, and data sources ensure robust error handling, retries, and fallbacks.
Quality & Safety
oWrite unit/integration tests implement offline/online evals, red team scenarios, and content/action safety boundaries.
Iteration & Communication
oPrototype quickly, demo frequently, and communicate trade offs and results clearly with stakeholders.
Must Have Qualifications (AI Native archetype)
Strong CS and software engineering fundamentals.
Hands on experience with LLMs, RAG, vector DBs, and AI APIs.
Proven ability to build end to end applications and integrate AI into systems.
Visible portfolio of AI projects demonstrating experimentation and speed.
Fast learner with a bias for rapid prototyping and iteration.
Able to translate business problems into practical AI solutions with clear communication.
Programming Languages (Developer)
Core build proficiency (choose two or more):
oPython (agent frameworks, data/RAG services, evaluation, notebooks to services)
oTypeScript/Node.js (service wrappers, tool servers, API integration, front end hooks)