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Salary
$115k – $190k per year
Location
Hybrid (New York, United States)
Seniority
Junior · 1+ year exp
Employment
Full-Time

First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
Founded in 2026, EdgeQ Technologies is a software development, staffing, and business services provider headquartered in Anantapur, Andhra Pradesh, India. The company delivers an integrated suite of technology and workforce solutions for startups and enterprises across domestic and international markets. Its core offerings span custom web and mobile application engineering, digital marketing, and business software products - including applicant tracking systems (ATS), custom CRMs, payroll, and billing platforms - alongside IT and non-IT recruitment, talent placement, and business process outsourcing (BPO) operations.

We are seeking a Generative AI Engineer to join our team. You will design and deploy cutting-edge AI solutions using Python, LLMs, and RAG technologies. This role offers a hybrid work environment across multiple US locations.

Key responsibilities

  • Design, develop, and deploy generative AI applications using Python and modern AI frameworks.

  • Build LLM-powered solutions for enterprise and customer-facing use cases.

  • Create Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

  • Integrate LLM APIs, embeddings, vector databases, and external data sources.

  • Optimize prompts, retrieval strategies, model performance, and response quality.

  • Develop production-ready APIs and AI services.

  • Monitor and evaluate model performance in deployed applications.

  • Collaborate with software engineers, data scientists, and product teams.

Required qualifications

  • 1-5 years of professional experience in AI/ML, generative AI, or software engineering.

  • Strong proficiency in Python.

  • Hands-on experience with Large Language Models (LLMs).

  • Experience building Retrieval-Augmented Generation (RAG) applications.

  • Excellent problem-solving and communication skills.

Nice to have

  • Experience with OpenAI, Anthropic, Gemini, or other LLM APIs.

  • Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or FAISS.

  • Familiarity with FastAPI, Docker, and cloud platforms (AWS, Azure, GCP).

  • Experience with AI agents, tool calling, or multi-agent systems.

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