AI Engineer
New
J
JobgetherAI automation
Fully remote working arrangement within India.Full-TimeMiddle
SalaryCompetitive annual compensation ranging from INR 1,450,000 to INR 2,500,000, depending on experience and qualifications. Stock ownership opportunities alongside base salary.
Apply NowOpens the employer's application page
Job Details
- Languages
- Strong written and verbal English communication skills
- Experience
- 1.5–4 years of professional software engineering experience
- Required Skills
- PythonRESTful APIsLangChain
Requirements
- Have 1.5–4 years of professional software engineering experience, including hands-on experience developing LLM-powered applications.
- Have strong programming skills in Python and experience building reliable software applications.
- Have practical experience with LLM APIs such as OpenAI, Anthropic, or equivalent platforms.
- Be familiar with AI agent development and Retrieval-Augmented Generation (RAG) frameworks, particularly LangChain or LangGraph.
- Have experience integrating applications with APIs, databases, third-party services, and external business systems.
- Understand production deployment requirements, including monitoring, logging, error handling, and application reliability.
- Have strong written and verbal English communication skills and be able to collaborate directly with US-based clients and stakeholders.
- Be able to independently take projects from problem identification through development, deployment, and continuous improvement.
- A bachelor's degree in Computer Science, Software Engineering, or a related discipline is preferred.
- Experience in fintech, lending, mortgage operations, or document-intensive business workflows is an advantage.
- Familiarity with OCR, document AI, LLM output evaluation, and production monitoring tools is a plus.
Responsibilities
- Work with clients and domain experts to understand business workflows, systems, operational challenges, and automation opportunities.
- Identify problems to solve and establish objectives and measurable success criteria.
- Design, develop, and deploy LLM-powered applications, AI agents, and automated workflows.
- Integrate AI solutions with APIs, databases, third-party platforms, and existing client systems.
- Implement conversation history, logging, monitoring, exception handling, and human review and escalation mechanisms.
- Deploy AI solutions to users, monitor performance, manage unexpected scenarios, and deliver continuous improvements through regular releases.
- Measure workflow improvements in processing time, accuracy, manual effort, and operational efficiency.
- Collaborate with cross-functional teams and client stakeholders to support measurable business value.
View Full Description & ApplyYou'll be redirected to the employer's site
