eClerx

Data analytics and BPM outsourcing services

Forward Deployed AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

The role requires 7–13 years of experience in Software Engineering, AI Engineering, or Machine Learning.
Strong programming expertise in Python is required.
Hands-on experience with large language models, agentic AI, generative AI, retrieval-augmented generation, prompt engineering, and AI agents is required.
Experience with AI frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, or similar orchestration platforms is required.
Knowledge of AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise, or equivalent AI platforms is required.
Experience with PyTorch, TensorFlow, Hugging Face, or modern AI frameworks is required.
A strong understanding of vector databases, embeddings, semantic search, and AI workflows is required.
Experience with Docker, Kubernetes, REST APIs, continuous integration and continuous delivery, and cloud platforms such as AWS, Azure, or GCP is required.
Experience working directly with enterprise clients is required.
Experience working in Agile development environments is required.

Responsibilities

Design, develop, and deploy enterprise AI solutions using generative AI, agentic AI, large language models, small language models, and retrieval-augmented generation.
Work with customers to understand business problems and translate them into scalable AI solutions.
Develop AI-powered applications for conversational AI, intelligent automation, and AI-assisted software development lifecycle processes.
Build production-ready AI workflows using LangGraph, CrewAI, LangChain, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, and similar AI platforms.
Design agent orchestration frameworks that integrate enterprise systems, APIs, databases, and external tools.
Optimize AI solutions for accuracy, latency, scalability, reliability, and cost efficiency.
Build robust APIs, microservices, and AI services following software engineering best practices.
Collaborate with Product, Engineering, Data Science, and DevOps teams to deliver enterprise AI platforms.
Participate in customer workshops, solution design, proof of concepts, technical discussions, and deployment activities.
Evaluate emerging AI technologies and recommend innovative solutions as part of continuous improvement.

Desired Qualifications

Experience with MLOps, LLMOps, and AI deployment frameworks is preferred.
Exposure to PEFT, LoRA, QLoRA, or model optimization techniques is preferred.
Knowledge of distributed computing and enterprise AI infrastructure is preferred.

Role Overview

We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work directly with customers to design, build, deploy, and scale production-grade AI solutions that solve complex business challenges.

You will act as the bridge between business and technology, partnering with stakeholders to transform organizations through AI-powered applications, intelligent automation, and modern AI platforms.

Key Responsibilities

Design, develop, and deploy enterprise AI solutions leveraging Generative AI, Agentic AI, LLMs, SLMs, and RAG.
Work closely with customers to understand business problems and translate them into scalable AI solutions.
Develop AI-powered applications for conversational AI, intelligent automation, and AI-assisted Software Development Lifecycle (SDLC).
Build production-ready AI workflows using LangGraph, CrewAI, LangChain, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, and similar AI platforms.
Design agent orchestration frameworks integrating enterprise systems, APIs, databases, and external tools.
Optimize AI solutions for accuracy, latency, scalability, reliability, and cost efficiency.
Build robust APIs, microservices, and AI services following software engineering best practices.
Collaborate with Product, Engineering, Data Science, and DevOps teams to deliver enterprise AI platforms.
Participate in customer workshops, solution design, PoCs, technical discussions, and deployment activities.
Contribute to continuous improvement by evaluating emerging AI technologies and recommending innovative solutions.

Required Skills & Qualifications

7–13 years of experience in Software Engineering, AI Engineering, or Machine Learning.
Strong programming expertise in Python.
Hands-on experience with LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, and AI Agents.
Experience with AI frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, or similar orchestration platforms.
Knowledge of AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise, or equivalent AI platforms.
Experience with PyTorch, TensorFlow, Hugging Face, or modern AI frameworks.
Strong understanding of vector databases, embeddings, semantic search, and AI workflows.
Experience with Docker, Kubernetes, REST APIs, CI/CD, and cloud platforms (AWS, Azure, or GCP).
Strong communication skills with experience working directly with enterprise clients.
Experience working in Agile development environments.

Preferred Skills

Experience with MLOps/LLMOps and AI deployment frameworks.
Exposure to PEFT, LoRA, QLoRA, or model optimization techniques.
Knowledge of distributed computing and enterprise AI infrastructure.

About the Company

eClerx

Data analytics and BPM outsourcing services

eClerx Services Ltd. provides business process management and data analytics services to clients worldwide, focusing on financial services, telecom, retail, and technology. It helps clients by managing and optimizing data-intensive processes, acting as an extension of their operations through data management, automation, analytics, and consulting. Its offerings cover trade lifecycle management, risk and compliance in financial markets, digital services like content creation and e-commerce analytics, and customer operations optimization. Its differentiator is combining deep domain knowledge with data-driven insights and it pursues growth through strategic acquisitions, such as Personiv, to expand back-office and customer support capabilities, with the goal of helping clients run efficient, data-driven processes while focusing on core business.

Company size: 10,001+
Company stage: IPO
Headquarters: Mumbai, India
Founded: 2000

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