Custom Software Engineer

Project 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.

Summary

AI POWERED TECH TALENT

Role Summary: Build high quality agentic AI applications—implement LLM tooling, RAG pipelines, vector search, and API integrations—delivering rapid prototypes that evolve into production systems. Own hands on development, testing, and integration, with a portfolio that demonstrates speed, experimentation, and learning.

Responsibilities

• Hands on Build: Implement agents (tools, skills), prompts/templates, planners, memory, and evaluation loops write clean, testable code and CI/CD pipelines.
• Integration: Connect to enterprise APIs, event streams, and data sources ensure robust error handling, retries, and fallbacks.
• Quality & Safety: Write unit/integration tests implement offline/online evals, red team scenarios, and content/action safety boundaries.
• Iteration & Communication: Prototype 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):

• Python (agent frameworks, data/RAG services, evaluation, notebooks to services)
• TypeScript/Node.js (service wrappers, tool servers, API integration, front end hooks)
• Java (enterprise services, Spring Boot, concurrency/performance)

Nice to have

• C#/.NET (enterprise stacks)
• Go (high throughput agents/services)
• Rust (performance critical tooling)
• SQL (PostgreSQL/pgvector, query optimization)
• Bash (DevOps)

Frameworks & tooling

LangChain, LlamaIndex, Semantic Kernel vector DBs (pgvector, Pinecone, Weaviate, Milvus) test frameworks (PyTest/JUnit/Jest) containers, serverless, and cloud SDKs.

Additional Information

The candidate should have minimum 7.5 years of experience in Java Full Stack Development. A 15 years full time education is required.