AI Backend Engineer-NYC (Onsite)

AI Backend Engineer with 3+ years (MUST) of experience in in building enterprise grade solutions Location: New York, NY (Onsite 5 days per week) Employment Type: Contract ONLY LOCAL CANDIDATES IN NYC TRI STATE NEED APPLY! NO RELOCATION!!! NO 3RD PARTY VENDORS! Position Overview We are seeking a highly motivated AI Backend Engineer to join our team and play a critical role in establishing our artificial intelligence platform from the ground up. This is a unique opportunity to contribute to a greenfield initiative, where you will be responsible for building scalable applications that integrate traditional software engineering best practices with cloud-native services and large language model (LLM) frameworks. The ideal candidate is an early-career professional (new graduate to 2-4 years of experience) who combines a strong foundation in software engineering with a passion for applied AI and the ability to adapt quickly in a fast-evolving landscape. Key Responsibilities • Design, develop, and deploy end-to-end AI applications, spanning front-end, back-end, and AI/ML integration. • Build and optimize scalable solutions in Python, with a focus on LLM integration. • Leverage cloud platforms (AWS preferred; GCP also considered) to develop AI solutions using services such as AWS Bedrock or Vertex AI. • Utilize open-source frameworks (e.g., LangChain, LlamaIndex) for AI application development. • Explore and implement agent-based AI systems, applying principles of process optimization and automation. • Collaborate closely with product, UX, and engineering stakeholders to translate business requirements into practical AI solutions. • Deliver measurable outcomes and early wins within the first 6-7 months to establish platform credibility and support long-term growth. Qualifications • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. • 3 years of professional experience in software engineering, AI, and cloud application development. • Proficiency in Python and strong knowledge of software engineering fundamentals. • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and cognitive services. • Exposure to LLM frameworks (e.g., LangChain) and AI integration into applications. • Familiarity with process automation or RPA concepts is a plus. • Strong problem-solving abilities, adaptability, and eagerness to learn in a rapidly changing AI environment.