Infocusp Innovations - Senior LLM Engineer (4-8 yrs)

TymblHub; Pune District; On-site; INR 2,400,000 - 4,800,000; Full time

Job summary

Infocusp Innovations LLP in Pune, India seeks a Senior LLM Engineer to lead the design, deployment, and operation of autonomous agentic AI systems. The role covers multi-agent orchestration, robust tool integration, and enterprise workflow automation.

You will review AI code, ensure safety and compliance, and mentor teammates. The ideal candidate has 4+ years of industry experience with agent frameworks, strong Python skills, and hands-on ML lifecycle knowledge.

Qualifications

• 4+ years of industry experience with agentic orchestration frameworks.
• Proficiency in multi-agent design, tool calling, API orchestration, and vector DBs/RAG.
• Experience with telemetry/observability for non-deterministic AI agents.
• Strong Python skills and senior-level code/prompt reviewing abilities.
• Practical knowledge of ML lifecycle (data preprocessing, model design, JAX/TensorFlow).

Responsibilities

• Architect and deploy scalable multi-agent AI systems with advanced tool integration.
• Build and optimize AI pipelines using LangGraph, ADK, and LangChain.
• Integrate agentic AI into enterprise workflows to automate complex processes.
• Review code and agent configurations to ensure correctness.
• Audit agent-generated workflows for issues like target leakage.
• Launch, monitor, and debug distributed training jobs and auto-repair loops.
• Design evaluation suites and end-to-end scenarios for non-deterministic agents.
• Ensure security, transparency, fairness, and reliability across AI systems.
• Mentor engineers and promote modern LLM practices.

Skills

Python programming

Code/prompt review

Collaboration

Communication skills

Problem solving

ML lifecycle knowledge

Tools

LangGraph

LangChain

ADK

Vector databases

RAG

Cloud platforms (AWS/GCP/Azure)

Job description

# Infocusp Innovations - Senior LLM Engineer (4-8 yrs)INFOCUSP INNOVATIONS LLPIPosted on September 6, 2026---Experience4 - 8 yrsJob LocationPune, IndiaVacancy1DesignationLLM EngineerJob TypeNot specified---## Job Description**About the Role :**The individual will lead the design, development, and deployment of complex, autonomous agentic AI solutions within production environments, working across multi-agent frameworks and orchestrating large language models. The position is for scalable applied AI, with a focus on delivering robust and fair agentic systems that deliver organizational value, autonomy, and operational efficiency.**Responsibilities :**- Architect and deploy scalable multi-agent AI systems with advanced tool integration.- Build and optimize AI pipelines using frameworks like LangGraph, ADK, and LangChain.- Integrate agentic AI into enterprise workflows to automate complex business processes.- Review and execute code written by AI agents to ensure correctness and maintainability.- Review agent configurations, prompts, and tool wrappers to prevent behavioral or performance regressions.- Audit agent-generated ML workflows to catch flaws like target leakage.- Launch, monitor, and debug distributed training jobs and auto-repair loops.- Design evaluation suites and end-to-end scenarios for non-deterministic agents.- Debug agent workflows and align systems with regulatory and ethical standards.- Ensure security, transparency, fairness, and reliability across AI systems.- Mentor engineers and promote modern LLM practices across teams**Requirements :**- 4+ years of industry experience, including 1+ years with agentic orchestration frameworks (LangChain, LangGraph, ADK).- Proficiency in multi-agent framework design, tool calling, API orchestration, and vector databases/RAG.- Experience with continuous monitoring, telemetry, and observability tooling for non-deterministic AI agents.- Strong background in LLM evaluation methodologies (code-based, LLM-as-a-Judge) and end-to-end testing.- Strong Python skills (type hints, absl, absltest) and senior-level code/prompt reviewing capabilities.- Practical knowledge of the ML lifecycle (data preprocessing, feature engineering, model design, JAX/TensorFlow).- Experience launching and debugging distributed training jobs across cloud platforms (AWS, GCP, Azure).- Knowledge of MLOps practices, data privacy, model security, and AI compliance regulations.**Preferred Skills :**- On-device ML (TFLite, Edge TPU, Gemini Nano, latency and power profiling).- Experience with Hugging Face, Neo4j, or knowledge graphs.- Background in autonomous decision-making systems, anomaly detection, and dynamic process optimization.- Track record of publishing, presenting, or open-sourcing agentic AI innovations.- Strong problem-solving aptitude, collaborative mindset, and excellent communication skills.**Location :** Ahmedabad/PuneAbout the company## INFOCUSP INNOVATIONS LLPIT Services & ConsultingIInfocusp Innovations is an IT firm working in the broad fields of Machine Learning, Artificial Intelligence (AI), Computer Science, Software Engineering, Mobile and Web App Development, QA, and Signal Processing. Global presence in India and the United States with offices in Ahmedabad, Pune, and California. The company develops next-gen robust solutions that improve the quality of life of users and enhance the user experience. Infocusp has worked on high-impact projects in Healthcare, FinTech, IoT, Law and Humanity, AgroTech, Molecular Chemistry, GeoPhysics, Biology, Energy, Logistics, Recruitment, and Gaming. The company emphasizes transparent communication, healthy discussions, and a welcoming work culture to facilitate favorable working conditions for its employees.