Senior AI Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Cloud Platforms, AI, Machine Learning, LLMs, API Development, FastAPI, Flask, Pandas, Numpy, Scikit-learn, Context Engineering, Model Monitoring, Production Systems, Technical Strategy

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Engineer in India. This role offers the opportunity to develop and deploy cutting-edge AI and machine learning solutions that transform customer support experiences. As a Senior AI Engineer, you will work closely with cross-functional teams to design, build, and operationalize AI-driven products, with a focus on LLM integration and context engineering. You will bridge the gap between research and production, ensuring AI systems deliver measurable impact while maintaining high performance and reliability. The role provides exposure to cloud AI/ML platforms, modern software practices, and a collaborative, remote-first environment where innovation and problem-solving are highly valued. Accountabilities In this role, you will be responsible for: Designing, building, and operationalizing AI and ML products, with a focus on LLM-powered solutions and context engineering. Developing automated pipelines for model selection using business-driven performance metrics. Implementing comprehensive monitoring for AI systems and taking corrective actions to maintain performance. Collaborating with engineering teams to integrate ML models and APIs into production-grade systems. Ensuring AI products are scalable, reliable, and maintainable while delivering measurable business value. Contributing to technical strategy, code quality, and best practices across the AI/ML team. Successful candidates will have: Expert-level Python development skills and experience in building production AI systems. Advanced SQL proficiency (experience with SQLAlchemy preferred). Strong experience with cloud platforms (AWS, GCP, or Azure), particularly AI/ML services. Deep understanding of LLMs, including strengths, limitations, prompt engineering, and retrieval-augmented generation (RAG). Professional experience building LLM-powered applications or AI-driven products. Experience with API development using frameworks like FastAPI or Flask. B.S. in Computer Science, Mathematics, or equivalent technical field. Preferred Skills: Experience with LLM frameworks, vector databases, and model context protocols (MCP). Proficiency with Python ML libraries such as pandas, numpy, and scikit-learn. Familiarity with operationalizing AI models in production environments. This role offers a competitive benefits package including: Fully covered healthcare for employees and their families. Equity/stock options participation. Remote-first, collaborative, and transparent work culture. Flexible paid time off (PTO) to recharge and maintain work-life balance. Opportunities for professional growth and career development in a fast-paced startup environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design and build AI and ML products focusing on LLM-powered solutions. Collaborate with teams to integrate ML models into production systems and ensure performance and reliability.