Senior AI Engineer – Agentic Systems & LLM Applications

Jobgether; India; Remote; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Fully remote

Global-first team

Autonomous agents projects

Foundation models access

Job summary

Jobgether is seeking a Senior AI Engineer – Agentic Systems & LLM Applications based in India. You will design autonomous agents, orchestration systems, and RAG pipelines to build reliable AI-native products.

You will work with leading foundation models, build low-latency systems, and own technical architecture in a globally distributed team, with remote opportunities and ownership over product direction.

Qualifications

• Proven experience building production AI apps with LLMs, agents, or similar tech.
• Deep understanding of agentic systems, tool calling, autonomous planning, and reasoning.
• Expert Python and/or TypeScript with Node.js proficiency.
• Hands-on with LangChain, LlamaIndex, or custom orchestration frameworks.
• Strong experience with vector databases (Pinecone, Weaviate, Milvus).
• Ability to design scalable ML/data pipelines and deploy LLM-powered systems.

Responsibilities

• Design and implement autonomous agents and multi-agent orchestration for complex tasks.
• Build production-grade AI apps on top of foundation models with low latency.
• Architect RAG pipelines and vector DB strategies for real-time context.
• Develop tool-calling, planning, reasoning, and autonomous execution workflows.
• Contribute to AI developer tools and internal frameworks for AI-native products.
• Establish evaluation frameworks to measure model/agent performance in production.
• Implement monitoring, fine-tuning, and optimization pipelines for reliability.
• Collaborate with product/engineering to integrate foundation models into solutions.
• Shape architecture and practices for scalable AI-native systems.
• Continuously evaluate emerging AI technologies for production use.

Skills

LLM applications

Agentic systems

Python/TypeScript

LangChain

Vector databases

Production AI engineering

Autonomous agents

Tools

LangChain

LlamaIndex

Pinecone

Weaviate

Milvus

Job 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 AI Engineer – Agentic Systems & LLM Applications based in India.

This role sits at the intersection of product engineering and frontier AI, focused on building the next generation of AI-native applications.
You will design and scale autonomous agents capable of reasoning, taking actions, and solving complex, non-deterministic workflows in production.
The position combines LLM application development, agent orchestration, advanced retrieval, developer tooling, and production AI engineering.
You will work with leading foundation models and modern AI infrastructure to create reliable, observable, and low-latency systems.
A major focus will be moving AI solutions beyond prototypes by implementing rigorous evaluation, monitoring, and optimization practices.
As part of a distributed, global-first team, you will have significant ownership over technical architecture and product direction.
This is an opportunity to work on challenging AI problems while turning emerging capabilities into practical products with tangible user impact.

Accountabilities

• Design and implement autonomous agents and multi-agent orchestration systems capable of handling complex, open-ended tasks.
• Build and optimize production-grade applications on top of leading foundation models, with a focus on reliability, observability, scalability, and low-latency performance.
• Architect advanced Retrieval-Augmented Generation (RAG) pipelines and vector database strategies that provide agents with accurate, relevant, and real-time context.
• Develop sophisticated tool-calling, planning, reasoning, and autonomous execution workflows for AI agents.
• Contribute to AI-powered developer tools and internal frameworks that accelerate the development and deployment of AI-native products.
• Establish rigorous evaluation frameworks and Evals to measure model and agent performance in production environments.
• Implement monitoring, fine-tuning, testing, and optimization pipelines to improve accuracy, reliability, and safety.
• Collaborate across product and engineering functions to integrate foundation models into solutions that address real-world user needs.
• Help shape the technical architecture and engineering practices for scalable AI-native systems.
• Continuously evaluate emerging AI technologies, frameworks, and approaches and identify opportunities to incorporate them into production systems.

Requirements

• Proven experience building production applications using large language models, AI agents, or other advanced AI technologies, ideally within an AI-native startup, research environment, or developer-tool organization.
• Deep understanding of agentic systems, including agent frameworks, tool calling/function calling, autonomous planning, and reasoning loops.
• Expert-level proficiency in Python and/or TypeScript with Node.js.
• Hands-on experience with LangChain, LlamaIndex, or custom-built AI orchestration frameworks.
• Strong expertise with vector databases such as Pinecone, Weaviate, or Milvus.
• Experience designing efficient machine learning and data pipelines.
• Strong understanding of foundation model applications and the practical challenges of deploying LLM-powered systems at scale.
• Experience building sophisticated RAG architectures and retrieval strategies.
• Strong product intuition and the ability to translate emerging AI capabilities into useful, reliable products rather than purely academic experiments.
• Experience with production AI engineering practices, including evaluation, monitoring, optimization, and reliability.
• Ability to work effectively in a distributed, global-first environment with a high degree of autonomy and ownership.
• Strong problem-solving skills and a willingness to work on complex, ambiguous technical challenges.

Benefits

• Fully remote opportunity with a global-first distributed team.
• Primary hiring regions include the United States, Europe, and India.
• Opportunity to work directly on autonomous agents, LLM applications, advanced RAG, and AI-native product infrastructure.
• Exposure to leading foundation models and modern AI development frameworks.
• Significant technical ownership at the intersection of product engineering and frontier AI research.
• Opportunity to build production-grade AI systems rather than experimental prototypes.
• For US-based candidates, a 3-month contractor‑to-hire period followed by potential conversion to full-time employment.
• For candidates outside the US, long‑term independent contractor engagement through OnTop.
• Opportunity to contribute to AI-powered developer tools and emerging AI technologies.
• Potential for significant career growth in a rapidly evolving AI environment.

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!

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.