What are the responsibilities and job description for the GenAI Engineer position at Innominds Software?
Title: AI / Software Engineer
Location: Englewood cliff, NJ- Onsite - Only Locals
Duration: 12 Months
Role purpose
Provide hands-on local engineering support for requirements clarification, prototyping, demonstrations, feature development, and coordination with stakeholders and the offshore delivery team.
Key responsibilities
- Clarify business and technical requirements with stakeholders.
- Build prototypes, proof-of-concepts, AI features, integrations, and workflow applications.
- Develop and enhance GenAI applications, enterprise assistants, AI agents, RAG solutions, and conversational workflows.
- Implement backend services, APIs, microservices, data integrations, and automation using Python and related technologies.
- Contribute to frontend and workflow application development using React or comparable modern frameworks.
- Support document ingestion, parsing, extraction, retrieval, evaluation, and knowledge-based enhancement.
- Integrate enterprise systems, APIs, vector databases, embedding pipelines, and approved AI services.
- Prepare demonstrations, collect feedback, and convert validated requirements into production-ready features.
- Collaborate with offshore engineers and QA resources on implementation, testing, defect resolution, and release preparation.
- Follow Client s development, security, source-control, documentation, and deployment standards.
- Support production stabilization, troubleshooting, and knowledge transfer as required.
Required qualifications
- 6-8 years of experience in software engineering, AI application development, or full-stack engineering.
- Strong hands-on experience with Python, APIs, backend services, and enterprise application development.
- Experience with GenAI, LLM APIs, RAG, prompt/workflow engineering, AI agents, or conversational applications.
- Familiarity with React, JavaScript/TypeScript, microservices, cloud platforms, databases, and enterprise integrations.
- Experience with data ingestion, document processing, vector databases, embeddings, or knowledge bases is desirable.
- Understanding of automated testing, AI evaluation, security, logging, and production support.
- Strong communication skills and the ability to work directly with business and technical stakeholders.