Senior Gen AI Developer at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

5000000.0

Posted On

04 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Large Language Models, Python, LangChain, LangGraph, Prompt Engineering, Machine Learning, Deep Learning, NLP, Vector Databases, PyTorch, TensorFlow, Scikit-learn, AI Agents, NLQ-to-SQL, API Development

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Gen AI Developer based in India. This role is centered on designing and developing advanced Generative AI solutions that power intelligent, agent-based systems. You will work on building and optimizing LLM-driven applications, AI agents, and end-to-end machine learning pipelines that support real-world enterprise use cases. The position requires strong technical depth in both traditional machine learning and modern generative AI technologies, with a focus on scalable, production-grade implementations. You will collaborate on architecting solutions involving prompt engineering, model integration, and AI orchestration frameworks. The environment is highly technical and innovation-driven, with opportunities to work on cutting-edge applications such as LLM-based assistants and NLQ-to-SQL systems. This role is fully remote within India and offers exposure to advanced AI stacks, including both proprietary and open-source models. Your work will directly shape intelligent systems that solve complex business and data challenges. \n Accountabilities: Design, develop, and deploy Generative AI solutions, including LLM-based systems, AI agents, and intelligent automation workflows. Build and optimize end-to-end machine learning pipelines for training, evaluation, and production deployment of AI models. Develop and integrate LLM-powered applications using prompt engineering, agent frameworks, and model orchestration techniques. Implement AI solutions using frameworks such as LangChain and LangGraph, enabling scalable agent-based architectures. Work with Python to build APIs, wrappers, utilities, and production-ready AI services. Evaluate and improve model performance using statistical analysis, embeddings, and vector-based retrieval systems. Collaborate with stakeholders to design robust AI architectures and translate business needs into technical solutions. Contribute to advanced use cases such as NLQ-to-SQL systems, recommendation engines, and generative AI applications. Requirements: 4–6+ years of experience in AI/ML, including at least 2+ years in traditional machine learning and strong exposure to Generative AI systems. Strong proficiency in Python and experience building scalable ML/AI applications. Hands-on experience with LLMs (e.g., GPT, Llama), prompt engineering, and agent-based AI design. Experience with frameworks such as LangChain and LangGraph for building AI agents and workflows. Strong understanding of machine learning concepts, including deep learning, NLP, embeddings, and transformer-based architectures. Experience working with tools such as TensorFlow, PyTorch, Scikit-learn, and vector databases. Ability to design end-to-end ML systems, from data processing to model deployment and optimization. Strong problem-solving and solution-design thinking with the ability to architect complex AI systems. Excellent communication skills, including experience in client-facing or consulting-style roles. Preferred: background in Computer Science, Data Science, Engineering, or Mathematics from reputed institutions (IIT/NIT/IIIT/BITS). Bonus: experience in domains such as finance, healthcare, or insurance. Benefits: Competitive salary ranging from INR 10–50 LPA depending on experience. Fully remote role with flexibility to work from anywhere in India. Opportunity to work on cutting-edge Generative AI and LLM-based systems. Exposure to advanced AI stacks including OpenAI, Llama, Azure OpenAI, and open-source models. High-impact role contributing to real-world AI agent and enterprise automation solutions. Continuous learning environment focused on modern AI research and production systems. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Design and deploy advanced Generative AI solutions, including LLM-based systems and AI agents for enterprise use cases. Build and optimize end-to-end machine learning pipelines and integrate AI orchestration frameworks like LangChain.