Senior Gen AI Developer

Jobgether · India

Company

Jobgether

Location

India

Type

Full Time

Job Description

Team: IT

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.

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.
Apply Now

Date Posted

07/04/2026

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