Senior Agentic AI Engineer

Socnet Technologies Private Limited; India; Remote; INR 2.500.000 - 4.200.000; Vollzeit

Zusammenfassung

Socnet Technologies Private Limited seeks a Senior Agentic AI Engineer to architect AI-driven products from prototype to production. This customer-facing role blends solution architecture, hands-on engineering, and client discussions.

You will design multi-agent LLM workflows, build scalable AI pipelines, and mentor the team while collaborating with customers, product, and engineering to deliver robust AI architectures.

Qualifikationen

• Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field.
• 6+ years in traditional ML with 2+ years on Generative AI.
• Strong Python skills including API wrappers and integrations.
• Experience with LLMs, prompt engineering, and agentic systems.
• Hands-on with LangChain/LangGraph or similar frameworks.

Aufgaben

• Architect and build scalable Generative AI and agentic AI applications end-to-end.
• Design LLM-powered workflows and prompt strategies for multi-agent systems.
• Build AI agents using LangChain and LangGraph for NL-to-SQL, autonomous task agents, and RAG pipelines.
• Select, customize, fine-tune, and optimize state-of-the-art LLMs.
• Design and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle management.
• Build APIs, microservices, and integration frameworks to bring AI into enterprise products.
• Champion responsible AI practices — mitigating hallucinations, bias, and reliability risks.
• Partner directly with customers, product, and engineering to turn business needs into robust AI architecture.
• Mentor engineers and shape long-term AI platform strategy.

Kenntnisse

Generative AI

Agentic AI

Python

LLMs

NLP

Cloud architectures

MLOps/LLMOps

Ausbildung

Bachelor's or Master's in CS/DS/Engineering/Math

Tools

LangChain

LangGraph

TensorFlow

PyTorch

Docker/Kubernetes

AWS

Azure

GCP

Jobbeschreibung

This role is for one of our clients

We're looking for aSenior Agentic AI Engineerto help architect our next-generation AI-driven products — from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands-on engineering, and client conversations.

Requirements

Key Responsibilities:

• Architect and build scalable Generative AI and agentic AI applications, end to end


• Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems


• Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines


• Select, customize, fine-tune, and optimize state-of-the‑art LLMs


• Design and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle management


• Build APIs, microservices, and integration frameworks to bring AI into enterprise products


• Champion responsible AI practices — mitigating hallucinations, bias, and reliability risks


• Partner directly with customers, product, and engineering to turn business needs into robust AI architecture


• Mentor engineers and help shape our long‑term AI platform strategy

Required Qualifications:

• 6+ years in traditional ML, including 2+ years hands‑on with Generative AI


• Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems


• Real‑world experience with LangChain/LangGraph or similar agentic frameworks


• Strong Python skills — API wrappers, third‑party integrations, internal tooling


• Solid foundation in Transformers, CNNs, RNNs — hands‑on with TensorFlow, PyTorch, Scikit‑learn


• Experience with NLP, embedding models, and vector databases


• Hands‑on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open‑source models


• Experience designing distributed, cloud‑native architectures (microservices, REST APIs)


• Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes


• MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management


• Excellent communication skills — you can translate technical depth for non‑technical stakeholders


• Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field


• Comfort with startup pace and strong ownership mentality

Preferred Qualifications:

• LLM fine‑tuning experience (LoRA, RLHF, PEFT)


• Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation)


• AI observability/monitoring tool experience


• Familiarity with AI governance and compliance (GDPR, SOC 2)


• Prior consulting or solution‑architecture experience shipping enterprise AI products


• Background in financial services, healthcare, or insurance

Must‑have skills

Agentic AI, Generative AI, Artificial Intelligence

Good‑to‑have skills

Machine Learning, LangChain, LangGraph